GEO- ANALYTICS ADDING VALUE TO BIG DATA QUICK INSIGHTS. $245 USD / free to TM Forum members

Size: px
Start display at page:

Download "GEO- ANALYTICS ADDING VALUE TO BIG DATA QUICK INSIGHTS. $245 USD / free to TM Forum members. 2014 www.tmforum.org"

Transcription

1 2014 GEO- $245 USD / free to TM Forum members ANALYTICS QUICK INSIGHTS ADDING VALUE TO BIG DATA Sponsored by:

2 Report prepared for Kathleen Mitchell of TM Forum. No unauthorised sharing. inform innovate accelerate optimize INNOVATE CATALYSTS COLLABORATION AGILE WORKSHOPS By bringing the industry together to identify and solve common problems, we enable rapid and successful innovation, striving to challenge conventional thinking by bringing disruptive ideas to the table.

3 GEO-ANALYTICS: ADDING VALUE TO BIG DATA TM Forum s research reports are free for all employees of TM Forum s member companies to download by registering on our website. Report author: John Williamson Independent researcher and writer Editorial Director: Annie Turner Editor Dawn Bushaus Business Development Director, Research & Publications: Mark Bradbury Director, Publishing and Webinars: Katy Gambino Production Manager: Sarah Wray Head of Marketing, Research & Publications: Kate Mitchell Report Design: The Page Design Consultancy Ltd Senior Vice President, Research & Publications: Aileen Hurley Advisors: Keith Willetts, Chairman and CEO, TM Forum Nik Willetts, Chief Strategy Officer, TM Forum Rob Rich, Managing Director, Insights Research, TM Forum Published by: TM Forum 240 Headquarters Plaza East Tower, 10th Floor Morristown, NJ USA Phone: Fax: ISBN: Page 4 Executive summary Page 5 Section 1 The origins of geo-analytics Page 7 Section 2 Some way to go Page 10 Section 3 Geo-analytics use cases Page 14 Section 4 Mapping out the future Page 20 Sponsored feature Esri The entire contents of this publication are protected by copyright. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means: electronic, mechanical, photocopying, recording or otherwise, without the prior permission of the publisher, TM Forum. The Forum would like to thank the sponsors and advertisers who have enabled the publication of this fully independently researched report. The views and opinions expressed by individual authors and contributors in this publication are provided in the writers personal capacities and are their sole responsibility. Their publication does not imply that they represent the views or opinions of TM Forum and must neither be regarded as constituting advice on any matter whatsoever, nor be interpreted as such. The reproduction of advertisements and sponsored features in this publication does not in any way imply endorsement by TM Forum of products or services referred to therein. QUICK INSIGHTS 3

4 GEO-ANALYTICS: ADDING VALUE TO BIG DATA Executive summary Almost unbelievably large quantities of data are being generated in the modern, networked digital world. Much of this data has a geospatial component some 80 percent is a figure often quoted in the analytics industry. Although some question the exact percentage, it s undeniable that human activities, events, transactions, business processes and asset management all have a location context. Equally undeniable is the proliferation of smartphones, wireless devices and other communications or telematics technologies that are being harnessed to specifically access geospatial data. Today the contention is that a number of significant business benefits will result from the ability to harvest, clean, homogenize, authenticate and analyze this geographic data in a cost-effective and timely manner. These benefits include improved agility and efficiency, the identification of new commercial opportunities, increased competitiveness, and reduced risk. Section 1 of this report takes a look at what geo-analytics are and considers what factors are contributing to the rise of interest in the growth of big data analytics. Among the drivers identified are: the big data phenomenon itself; the seemingly unstoppable growth in the use of mobile and wireless location-enabled devices and systems; and the widening adoption of Geographic Information System (GIS) technology. Section 2 is an account of the development of geo-analytics and an analysis of some of the challenges attached to the greater deployment and scaling of geo-analytics solutions. As well as being able to handle the Vs of big data (the growing list includes volume, value, variety, velocity, veracity and viability), particular concerns are privacy, lack of standards and location granularity. Section 3 describes some geo-analytics solutions and services. Three main prospective deliverables for digital service providers are more efficient internal operations, improved customer experiences, and new revenue earning services. Section 4 examines the impediments to the continued growth of geo-analytics, with lack of standardization and the need to change mindsets looming large. Finally we list some possible future digital services enabled by geo-analytics, highlighting opportunities in the machine-tomachine, ehealth and smart grid sectors. Although the exact percentage is debated, it s undeniable that human activities, events, transactions, business processes and asset management all have a location context. 4 QUICK INSIGHTS

5 Geo-analytics could become indispensable in the big data analytics ecosystem Section 1 The origins of geo-analytics To some extent geo-analytics mean different things to different people. For some geoanalytics tends to denote an emerging element at least in the commercial world of big data analytics. For others, it s Geographic or Geospatial Information Systems (GISs) teamed with a range of business intelligence (BI) and information management systems and processes. For yet others it is the latest iteration of GIS technologies. Meantime, some individuals see geo-analytics as what happens when advanced digital mapping technology meets the Internet of Things (which also has a number of interpretations). As befits an activity that lacks precise definition, a number of observers use the terms geo-analytics, geospatial analytics, location intelligence, location analytics, and geo-enabled data synonymously. This notwithstanding, it s probably the case that few would take strong exception to the idea that geo-analytics is a potentially indispensable part of the big data analytics ecosystem. Again there s some consensus that the aim of geo-analytics practitioners is to collect, examine and evaluate different types of data in their geographic or geospatial contexts and, in combination with a range of other analytics and business tools, improve the decision-making, the asset management and exploitation capabilities, and the overall efficiency and/or profitability of organizations and enterprises. Big data big time One starting point for the geo-analytics story is the overall big data phenomenon itself. With the ongoing worldwide shift from offline, unconnected to online, networked societies, the amount of data generated by, and that can be collected from, people, processes and machines has become improbably large. Indeed, things are now approaching the point where even the largest of the established units of measurement for data quantities are becoming too small to adequately describe the scale. There are continuing efforts to quantify and describe these big data volumes using terminology that non-technical audiences could comprehend. In November 2013 a story in The Guardian newspaper cited a report from investment banking firm GP Bullhound that contained an infographic account of a minute in the life of the Internet. This report 1 suggested that in the space of 60 seconds, 208,000 photographs were uploaded to Facebook, 350,00 tweets took place on Twitter, 100 hours of video were uploaded to YouTube, 120 new accounts were opened on LinkedIn, 3.5 million search queries were handled by Google, and Amazon. com took $118,000 in revenue. It s highly likely, though, that most estimates of big data volumes will be out of date by the time they are published. Big data is not necessarily of value in itself. However in recent years the development of technology to enable the economic collection, analysis and evaluation of big data has come to be seen as a key to unlocking any number of business benefits. These benefits include improving market agility and efficiency, refining marketing campaigns, identifying new commercial opportunities, increasing competitiveness, lessening risk and preventing fraud. Estimates of the value of the big data analytics systems and services market very considerably. In its Worldwide Big Data 1 QUICK INSIGHTS 5

6 GEO-ANALYTICS: ADDING VALUE TO BIG DATA Technology and Services Forecast announced in December 2013, International Data Corporation (IDC) forecasts that the big data technology and services market would grow at a 27 percent compound annual growth rate (CAGR) to $32.4 billion through 2017 or about six times the growth rate of the overall Information and Communication Technology market. On the move A second development that is sponsoring the proliferation of geo-analytics, and one which is closely associated with the rise of big data is the tremendous recent growth in the production of, and the ability to harvest, geographic- and time-referenced data. In turn, this is the product of the famous adoption of mobile technologies in general, and the rocketing popularity of smart location-enabled devices such as smartphones, tablets and phablets. One estimate from the International Telecommunication Union is that the number of mobile phone subscriptions worldwide will hit 7 billion this year. According to IDC, of the 1.7 billion smart connected devices predicted to ship in 2014, some 1.4 billion will be smartphones and tablets. And quite apart from smart mobile devices, the location data generated by future machine-to-machine (M2M) services and applications is predicted to be enormous. Almost every smartphone in the world has a navigation capability, points out Craig Bachmann, Director, Industry Initiatives, TM Forum. And then there s the M2M element. So you now have the ability to collect an unprecedented amount of location data along with transactions and events. Putting IT on the map A third relevant consideration in the growth of interest in geo-analytics is the increased use of GISs in many commercial and industry sectors to expand the scope and utility of existing enterprise and corporate management and business support systems. As the name suggests, a GIS uses hardware, software and data to acquire, manage, manipulate, assess and display geographically referenced information. This information can be displayed in the form of maps, charts and reports, with multiple different layers of information overlaid in a single display. It is now becoming accepted that the addition of interactive geographic location and mapping to the data captured and generated by enterprises and organizations can greatly improve understanding of that data. It potentially reveals relationships, patterns, trends, opportunities and risks that may not be evident with the same data presented in a spreadsheet and other forms. In the context of associating GIS with geoanalytics, some interesting data were revealed in Business Trends in Location Analytics: Exploring the Impact of Geographic Context On Business Processes 2 a study sponsored by Esri and published by Ventana Research in September It found that the tools used for location analytics have an important impact on how organizations view such analytics. According to this research, heavy users of a GIS are the most often very satisfied (49 percent), and heavy users of spreadsheets are very satisfied least often (16 percent). Among those saying that the use of location analytics has improved their results, spreadsheet users ranked last (35 percent), some way behind users of a GIS (55 percent) QUICK INSIGHTS

7 Geo-analytics must be able to process, analyze, interpret and evaluate huge quantities of data Section 2 Some way to go The preceding section of this report should not be taken to imply that geo-analytics are in any way already a widespread done deal. In practice, although the use of geo-analytics by military forces and security agencies is well established, in many other sectors it s at the beginning of a rising adoption curve. In the digital services arena, geo-analytics applications have a higher visibility in internal operations, mobile workforce management and customer experience than as enablers of new, revenueearning services and applications. To scale the implementation and operation of geo-analytics systems, solutions to a number of serious challenges are needed. Some apply to big data analytics in general. Others may be more difficult to solve due to location components being present in the big data mix. Yet others are specific to the geospatial environment. Challenges in the big data ecosystem As with other spheres of big data analytics, to produce the most useful outcomes geoanalytics must be able to accommodate, process, analyze, interpret and evaluate huge quantities of data, of many different types and formats, and at very high speed. The three V model was devised by Gartner Inc to describe these attributes of big data: Volume, Variety and Velocity. Veracity was a fourth V data attribute added by IBM, and TM Forum s Managing Director, Insights Research, Rob Rich added Value, and Viability is an increasingly important attribute. Volume. As described earlier, big data volumes are now reaching the point where established units of measurement are becoming inadequate to convey what amounts of data are capable of being generated, captured, stored and analyzed. A zettabyte, or around a trillion gigabytes, was once undeniably in the big data big league. But last year the 2013 Visual Networking Index (VNI) produced by Cisco Systems forecast that annual global IP traffic alone would reach the zettabyte threshold by the end of 2015, and could reach 1.4 zettabytes per year by Now industry experts are talking of data in yottabyte around one thousand zettabytes - quantities. Variety. The variety of structured and unstructured data being produced on a daily basis is huge. A non-exhaustive list of the types of traceable information would include SMS, MMS, IM, audio, cell phone calls, mobile apps, IVR, s, tweets, social networking posts, GIS data, business intelligence, transaction information, photographs, videos, IP traffic, web searches, RFID data, M2M, data bases and reports. Velocity. The speed at which, to be useful, data needs to be harvested and analyzed is increasing, with the progression from batch, through periodic to near real-time and real-time processing and analysis. Examples of real-time uses include making timely offers to customers and charging. With M2M you now have the ability to collect an unprecedented amount of location data along with transactions and events. QUICK INSIGHTS 7

8 GEO-ANALYTICS: ADDING VALUE TO BIG DATA Veracity. This concerns being able to assess the quality, consistency, completeness, and so integrity, of the data being captured. Here the emphasis is on the efficacy of data cleaning and validation. Viability. This describes the circumstances, and the context in which actions prompted by analyzing big data, are likely to positively or negatively impact outcomes. In an extreme example, it is probable that an SMS offer of a discounted holiday would be wasted on most individuals who had been tweeting, in the vicinity of the sponsoring travel company, about a family bereavement. Value. In the same way that not all information extracted from big data analysis is useful, not all information is valuable. Here the emphasis is on understanding what data is useful to advance particular business cases. Spatial is special While privacy is an issue for big data analytics, according to Natasha Léger, President of the Location Forum, concerns about its loss and violation escalate when location data is part of the deal. Privacy is an enormous issue relative to location data perhaps more so than at the big data level, says Léger, who is also editor of the LBX Journal. The challenge here is not so much the technology to manage and guarantee privacy rules are observed with location data, adds Arthur Berrill, Chief Technology Officer of location-based information and data quality specialist DMTI Spatial. It is more the understanding of just how deeply geo-analysis is capable of violating privacy rules even with the permission of the user or supplier of the data. Léger argues that much more transparency in how location data is collected, how it s used and how it s being distributed will be required for the use of geo-analytics to achieve its full potential. Above and beyond the issues facing data analytics in general, geo-analytics brings its own set of challenges to the table. A major one, in the view of Léger, is the difficulty of integrating the new capability with other business, IT and management systems. Moving on from that, in the case of organizations with extended operations in areas such business intelligence, customer relationship management (CRM) and supply chain management, there s the daunting task While privacy is an issue for big data analytics, concerns about its loss and violation escalate when location data is part of the deal. 8 QUICK INSIGHTS

9 Privacy, standards and accuracy are challenges for geo-analytics of getting hold of and uniting the wealth of location data that is held on those different systems. How are we going to integrate this into workflow? she asks. How do you access and correlate all of the location data within an enterprise across the different systems on which that data could be residing? Many incompatibilities Related to this is the need for standards to bring the data incompatibilities that exist between the GIS and the business intelligence worlds. There s a need for standards to be able to correlate the way the data are stored in these different systems in order to access them effectively, say Léger. They don t speak the same language at all. Nor is it the case that location data itself is lacking in diversity and incompatibility. As Mark Reichardt, President and CEO of the Open Geospatial Consortium (OGC) points out, even simple GPS coordinates can be encoded in a variety of ways, and though standards exist, most of the major Internet platform providers do not expose location data through published proprietary interfaces, let alone open standard interfaces. Reichardt also notes that geospatial information is variously stored as points, vectors and polygons, point clouds, grid arrays, place names, street addresses, civil engineering files, sensor feeds, references to indoor coordinate systems, and special types of encodings such as triangulated irregular networks. Without open geospatial encoding standards and service interface standards for each of these technology types, vendors proprietary formats and interfaces would make big geo-analytics nearly impossible, he suggests. A further concern specific to geo-analytics involves the accuracy of location data. Mike Carpenter, Vice President and Field Service Solutions Specialist, TOA Technologies, says that while commercial GPS accuracy is improving and is now in the range of plus or minus 10 meters, in some parts of the world location system accuracy is only at the level of 100 metres, and sometimes much greater than that. This is of some consequence for enterprises and organizations operating across different geographies. It s got to be accurate, or you can t build business processes to rely on it, he states. There s a need for standards to be able to correlate the way the data are stored in these different systems in order to access them effectively. They don t speak the same language at all. QUICK INSIGHTS 9

10 GEO-ANALYTICS: ADDING VALUE TO BIG DATA Section 3 Geo-analytics use cases Geo-analytics systems of varying degrees of sophistication can be usefully and profitably deployed by digital service providers to achieve a number of business objectives. Three are: improving and streamlining internal operations; enhancing customers experiences; and launching new applications and services. To a degree these objectives intersect. For example, the internal efficiencies delivered by location-enabled mobile workforce management (MWM) can lead to better customer experience and a higher favorability rating of the service provider by the customer. In turn, this might pre-dispose the customer to more readily sign up for new location-enabled services offered by that service provider. However, it s probable that not all geoanalytics opportunities will be equally attractive to all types of digital service providers. For example, pure-play wireline and cable operators may have most interest in the internal operational logistic and efficiency benefits of location intelligence. Internal affairs There is already a GIS-based geo-analytics component in a growing number of digital service providers own mobile workforce management (see panel below) systems. It s clearly useful for service providers to have accurate map representations of the location and disposition of all their network elements and customer premises. If this is married to a spatially-oriented, automated MWM system, it becomes possible to optimize routes for repair and field service staff and prioritize jobs based on factors such as customer value, service level agreements (SLAs) and point-of-presence (POP) density. Geo-fencing also enables the detection of Hitting the road An example of a service provider commercializing mobile workforce management capabilities is the deal struck by AT&T with the U.S.-based, business-to-business provider of roadside assistance, Road America. Customers needing roadside assistance call Road America s response centers, where coordinators determine their needs and dispatch mechanics. Rapid, accurate identification of the caller s location is critical, yet stranded drivers don t always know where they are. One solution relied on maps that were updated quarterly, but this often led to lengthy phone calls between customers and coordinators, which in turn delayed the dispatch of mechanics, increased costs and lowered service quality and customer satisfaction. Working with AT&T, Road America launched its LocateMe service, utilizing AT&T Location Information Services, as part of the incoming call process at the response centers. Once the caller gives their permission, their location is identified through the device they re using to make the call, whether it is landline, cell phone or smartphone. The LocateMe service enables Road America to access cellular and/or geo-location data from multiple carriers networks. According to AT&T the solution reduces waiting times for callers, helps mechanics get to stranded vehicles faster, increases quality of service, and decreases average call time. 10 QUICK INSIGHTS

11 Integration of geo-spatial data with other datasets saves money, increases efficiency and improves records anomalous vehicle routing and gives a service provider the option of letting service personnel take vehicles home at night and be alerted to any unauthorized vehicle journeys. This arrangement can save time, cut the number of miles traveled, and reduce the requirement for centralized garaging facilities. In the context of MWM, the integration of geo-spatial data with other datasets has many advantages, some quantifiable, some less so. Among these are: cost savings and increased efficiencies; better decision making; improved communication; better record keeping; reduced fleet wear and tear, and maintenance; reduced carbon footprint; and increased job satisfaction. With route optimization organizations can get 10 percent to 20 percent savings, and if those organizations can see their fleets on top of their maps, it s possible to get another 5 percent to 10 percent just based on being able to see and better organize fleets. Internal operations From being a consumer of location-based mobile workforce management solutions, it s a natural progression for some digital service providers to become suppliers of these solutions, particularly if they have built some of the requisite competencies in-house, and have implemented their own internal systems. Another internal operations scenario enabled by geo-analytics is one that applies to the cable industry. In this instance a map of the network enables the operator to determine where service uptake is below average, and look at attributes such as demography and network performance data to see if these suggest reasons for low uptake. Geo-analytics also allow the service provider to estimate the cost of building a new cablerun based on the density and type of potential subscribers along that route. They can combine this information with other data like assessments of target customers value from sales and marketing to estimate the potential return on investment of the project. Work experience Geo-analytics can also make a major contribution to digital service provider s efforts to improve customer experience. For example, they can be used to monitor mobile network signal quality in spatial terms. This would allow the service provider to offer a differentiated service quality based on location according to the historic value of a particular customer or whether customers were subscribing to a premium or free service. A milestone in the development of improved customer experience was reached with the release of TM Forum s Customer Experience Management Index (CEMI). Previously With route optimization organizations can get 10 percent to 20 percent savings, and if those organizations can see their fleets on top of their maps, it s possible to get another 5 percent to 10 percent. QUICK INSIGHTS 11

12 GEO-ANALYTICS: ADDING VALUE TO BIG DATA most customer experience management measurements have been taken from actual customer interface exchanges via the network, call center, trouble desk and billing enquiries, or through customer surveys. Measurements were made of variables such as network quality, customer service and billing accuracy. Given that most customers today relate their experience through other channels including blogs and social media posts and exchanges rather than directly to their service provider, and given that the range of measurable customer attributes is now very large, TM Forum proposed that the CEMI would address a much wider range of standard touch points, both direct and indirect, across the whole service provider organization. Using big data analytics it would be possible to produce a standardized global business index that could be used to measure one digital service provider against another in terms of customer experience and satisfaction. With CEMI we said: Let s take a standard set of touch points that we have with the customer across the whole business not just in the network, not just in the billing section, not just in the customer service activation section, comments Professor Paul Morrissey, Head of Data Analytics Group, TM Forum. And let s measure these touch points against service providers so that we can see what the average of all these touch points is when we aggregate them. Geo-analytics is part of the CEMI s big data analytics process. This is because many, if not most, digital service providers customers now have a mobile component in their communications make-up, and geographic location can be an important factor in mobile network coverage and so mobile users experience. Here Professor Morrissey, who is also Chief Strategy and Business Development Officer, Ventraq, instances location-sensitive attributes such as the number of dropped calls and signal-to-noise ratio. Push and pull Geo-analytics also enables digital service providers to commercialize new services and applications based on the discovered and mapped proximity of mobile phones When marketing messages are not relevant to customers, they become spam and customers are at risk of churning. Poorly pushed messages can lead to customer fatigue and ignoring future messages. 12 QUICK INSIGHTS

13 Location-based services enable delivery of tailored marketing to mobile devices How the Big Data Analytics Guidebook can help you This new guidebook, published as part of Frameworx 13.5 in October 2013, establishes a crucial linkage between business value that big data analytics can unlock and the big data technologies and information sources in the document s pioneering Big Data Reference Model. It includes more than 30 use cases for big data applications such as real-time, personalized offers, proactive care and churn prediction. Characteristic of the pragmatic approach throughout, the guidebook identifies and defines a suite of building blocks that are needed to realize the use cases. Please visit to download the guidebook and access other information and materials on big data analytics they are free to all employees of TM Forum member companies and contains lots of help and tools that can be implemented quickly to gain maximum results. If you would like to know more and/or participate in our Big Data Analytics Community and activities, please contact Steve Cotton, Director, Business Assurance Programs, via and wireless devices to locations that are of interest to the individuals using those devices. As an example, one of the first generation of these location-based services (LBSs) could have a user requesting and receiving information about, directions to, or a map showing the location of the nearest coffee shop, ATM or rail station. This is known as a pull or active service. By contrast, with a push or passive LBS the user does not specifically request the service at a particular time, but is the recipient of, say, local advertising or e-coupons based on the user s profile. Or the recipient could be the subject of a parental -monitoring service. In the case of many retail-oriented push LBSs, big data analytics enters the picture because, as described in the 30 use cases outlined in TM Forum s Big Data Analytics Guide Book (see panel above), when marketing messages are not relevant to customers, they become spam and customers are at risk of churning. Poorly pushed messages can lead to customer fatigue and customers ignoring future messages. Big data analytics can be used in a number of ways here, including: n To ensure that the mobile marketing messages, from a catalogue of most relevant, pre-defined campaigns, are sent only when customer arrives or is about to arrive at certain pre-defined geo-fenced locations. n To identify products and services that are relevant to a given customer behavior; these products and services are then pushed to the customer through the appropriate channel and at the appropriate time. n To use customer location changes to trigger marketing messages and thus increase the chance of relevancy to what customers need. QUICK INSIGHTS 13

14 GEO-ANALYTICS: ADDING VALUE TO BIG DATA Section 4 Mapping out the future To what degree there will be greater deployment and utilization of geo-analytics by digital service providers is dependent on a number of factors. Some of these are related to technology and standards, some to business cases, and some to people, management orthodoxies and skill sets. In the picture GIS technology is a cornerstone of geoanalytics. Up until recently, though, the integration of maps and spatial analytics with business data had not been widespread, due to the expense of custom integration with enterprise systems. It s also been the case that heavy duty GIS requires special skill sets; there is even the suggestion that you needed a Chief Geospatial Officer and dedicated staff and equipment. Until we break that down and make spatial commonplace, there is a huge barrier to success, reasons Arthur Berrill, Chief Technology Officer, DMTI Spatial. Allied to this, it may be that the geo-analytics community is guilty of looking inward, rather than outward. Berrill has characterized the geo-analytics industry as spatial people doing spatial things with spatial data and spatial tools for spatial people. He contends, We as an industry need to work out how we help the other industries not how we help ourselves. There is some progress on this front, with the price of the underlying GIS technologies falling and the availability of GIS services using the cloud model on the rise. As has been well remarked, the cloud-computing model can reduce the requirement for specialist in-house skill sets, and can farm out responsibility for technology refresh. Keeping up standards There remains a pressing need for sets of standards to advance interoperability between the different types of location data and between geo-analytics and business intelligence and enterprise systems. Again some advances are evident, with a key development being the October 2013 liaison agreement to connect the OGC s location standards framework and industry consensus process to TM Forum s core competency programs, vertical industry initiatives, and Frameworx standards and best practices. Through partnership, the TM Forum and the Open Geospatial Consortium (OGC) seek to collaboratively advance standards-based best practices to further the location enablement of digital services to serve a wide range of stakeholders. Both organizations have an obvious interest in domains such as smart grid and smart cities, but they also share interests in ehealth, sensors, machine-to-machine (M2M) communication, and business process. OGC can help TM Forum develop best practices for the use of standards. In addition to promoting OGC standards through promoting these best practices, the TM Forum can help the OGC by providing requirements to guide development of standards. Down to business According industry experts, in the enterprise space it s imperative that the introduction of geo-analytics be informed by the recognition that the process is aimed at yielding actions rather than just knowledge, and that the intention is to achieve a business benefit. This benefit could be more efficient business practices, cost savings or additional revenues, or a combination of these. Without the aiming for tangible ROI, though, the net result of geoanalytics for enterprises can be little more than colorful maps and charts on screens. Something of a change in end-users 14 QUICK INSIGHTS

15 M2M, smart grid and ehealth are leading candidates for geo-analytics applications approaches is likely needed as well for the more widespread implementation and exploitation of geo-analytics solutions. In the case of mobile workforce management (MWM) and geo-fencing, for example, the technology exists to allow digital service providers to see where their vehicles are parked overnight. Yet management needs to tread carefully: Where those vehicles are parked at or close to employees homes, this surveillance this might be viewed as an unacceptable level of intrusion into employees privacy or even illegal. What next for geo-analytics? If the issues outlined above can be resolved satisfactorily, the geo-analytics future in the provision of digital services looks promising, particularly in the case of providing new services with partners from different industry sectors. After all, mobile operators have unrivaled access to a wealth of background customer information in general, and to location data in particular. In the opinion of TOA Technologies Mike Carpenter, this is a compelling reason for them to get involved in geo-analytics. He believes mobile operators have the opportunity to control the high ground in terms of marketing geo-analytics services but mobile networks are far from being the only game in town (see panel below). Natasha Léger, President of the Location Forum, even suggests that mobile operators could turn concerns about geo-analytics and privacy to their advantage: They could create privacy-aware services and products based on individuals having control over how their data is used in the consumer and in the enterprise sectors. As an illustration, users could specify that their data could be used for operational and customer experience purposes but could veto data sharing, selling or integration with other data. Outside of that generalized potential opportunity, industry sectors such as M2M, smart grid and ehealth, in which many service providers already have varying levels of involvement, are among the leading candidates for the geo-analytics treatment. M2M Among the observations contained in Software strategies for operator profitability 3, a study produced by Analysys Mason for TM Forum s Management World 2013 event, Senior Analyst Justin van der Lande argues that the M2M Sources of location-based information A 2013 study by Allied Market Research estimates that global real-time location-based services (RTLS) market was worth $11.7 billion in 2013 and could grow to $43.7 billion by 2020 *. Allied Market Research says that due to its enhanced accuracy levels, Global Positioning System (GPS) has emerged as a market leader among all RTLS technologies and could reach market revenue of $15 billion in Other options, which may be used in various combinations, include cell tower localization, Wi-Fi connections, IP addresses and self-reported or check-in positioning. *www.alliedmarketresearch.com/global-real-time-locating-systems-rtls-market-expected-to-reach-437-billion-by-2020.html 3 QUICK INSIGHTS 15

16 GEO-ANALYTICS: ADDING VALUE TO BIG DATA sector could generate significant revenue streams from data analytics, with service providers monitoring or analyzing the data content that is used within M2M. Among others, these services include emergency location services, car alarm or security services and logistics tracking, which network operators are well equipped to provide. Van der Lande instances the analysis of road traffic fed back from Vodafone to navigation solutions and digital maps company TomTom. In this case TomTom s technology uses traffic data generated by the movement patterns of mobile phones inside vehicles collected anonymously from Vodafone s network. This is combined with anonymized data from TomTom devices, as well as other traditional sources of traffic information, to provide advanced traffic information services. Smart grids Being able to capture, process, manipulate and display spatial data provides a lot more tools for the operation of modern utility power distribution networks. Geo-analytics support for smart grids could include: n enabling demand response programs whereby consumption of power varies depending on time-based price incentives or targeted tariffing to lower energy consumption at peak times and balance supply and demand; n a geographic view of consumption by domestic and industrial users; n the provision of oversight of where power is being generated, which is an increasingly complex management task due to the variability of renewable energy generation and the contribution of micro-generation feed-in power from consumers; n optimized siting of smart grid components; n enriched insight into smart meters performance; n improved data management and billing; and n workforce automation. ehealth Geo-analytics has many potential applications in the ehealth sector including: n predicting epidemics; n early warning and control of outbreaks of disease; n identification of areas where the environment and/or demographics and lifestyle can have an adverse impact on health; n highlighting areas to be targeted with the preventative information; n improving the efficiency of emergency and rescue services; n tracking at-risk individuals and patient monitoring; n better management of assets and healthcare workers; and n optimizing the location of new facilities based on projected need and demand. For the future, TOA Technologies Carpenter sees continuing improvements in position accuracy and, using combinations of technologies, considerable growth of in-building location capabilities. These last will enable new digital services such as: the pinpointing of patient and asset tracking in ehealth; real-time, granular retail marketing; and premium private security services. There is little doubt that geo-analytics have a huge role to play in the provision of many digital services; the big question is how fast will it happen put another way, how quickly can we find more standardized, economic ways of deploying and scaling them? 16 QUICK INSIGHTS

17 Partnerships are necessary to deliver all types of digital services quickly The essential ingredient Partnerships are an essential ingredient in the delivery of all types of digital services, quickly and at scale. First because the last few years have seen the demise of communications service providers that: own, operate and maintain all their own network elements; develop and deliver discrete services over those elements; and exclusively manage relationships with customers. They have been replaced by horizontallyintegrated enterprises obligated to work collaboratively with suppliers and partners to offer new services via multi-tenanted value and service delivery chains. Second, to fully exploit the opportunities presented by big data- and geo-analytics, all types of digital service providers will need to collaborate with one or more partners (see AT&T case study on page 10), whether they are retailers looking to boost customers footfall or utilities aiming to streamline smartgrid operations. While it is relatively straightforward to implement partnering in a one-off manner, to make partnering a repeatable, scalable and industrialized process, a number of additional concepts have to be adopted to handle business and technical changes throughout the life of the partnership, and for the services, from end-to-end. TM Forum s Collaboration Community has Figure 4-1: Overview B2B2X Accelerator Document Pack B2B2X Accelerator Schematic Business Pack B2B2X Accelerator Introduction Developer Pack B2B2X Partnering Guidebook: Concepts and examples (TR211) B2B2X Developer Pack Pt1: Concepts Pt2: Step by step guide Pt3: Where to find what B2B2X Partnering Guidebook: Step by step guide White paper: Implementing Wholesale B2B for a Network Operator DBP2 NBN Co Contributions BT/NICC Contributions NTT Contributions Digital Services API Specification SM-API SM API materials QUICK INSIGHTS 17

18 GEO-ANALYTICS: ADDING VALUE TO BIG DATA addressed these additional issues with a comprehensive set of tools and best practices to enable the business goals of enabling: n the quick set-up of partnering arrangements, n efficient on-boarding of new partners through a consistent, repeatable process, n partners to swap out the products; and n evolving partnerships. TM Forum s B2B2X Partner Accelerator document pack see Figure 4-1 is freely available to all the Forum s members. It sets out an approach for business and technical people to deliver robust partnering agreements and solutions for B2B, B2B2C and B2B2X business models, based on reusable service components, processes, functions and application program interfaces. Partnership Service Lifecycle Model The Accelerator includes a Partnership Service Lifecycle Model Partnering, Design, Implementation, Operations and Monetization tailored to the needs of partners working together to co-provide end-user services. This lifecycle model recognizes and supports the different lifecycles for process, information, products and partners within the partnership. The Model has a step-by-step set of checklists for executing each stages of the Service Lifecycle and provides an overview and detailed treatment of the key concepts and patterns needed to define business and technical collaboration in a systematic, agile repeatable manner at industrial scale. The Model also offers a set of technical assets for creating practical technical integrations covering the wide range of nonfunctional requirement encountered in these types of B2B and B2B2X deployments. Please go to B2B2XPartneringAccelerator to find out more and to download any of the documents. You can also contact Dave Milham, Chief Architect Service Provider Engagement, TM Forum, for more information, including how to get involved, via The Model has a step-by-step set of checklists for executing each stage of the Service Lifecycle and provides an overview and detailed treatment of the key concepts and patterns needed to define business and technical collaboration QUICK INSIGHTS

19 What s new in Frameworx 13.5 and how can it help you? Frameworx 13.5 centers around the crucial issues facing service providers of all kinds in an open digital economy which are reflected in TM Forum s three Strategic Programs: n Agile Business and IT Program focuses on improving operational agility while reducing cost and risk; n Open Digital Program is designed to drive new digital services revenue growth; and n Customer Engagement Program targets better market share retention and greater growth. Frameworx was created by and is constantly evolved to meet changing needs of TM Forum s members. They include all sorts of service providers, software suppliers, integrators, universities, and enterprises. Members set priorities and lead collaborative project groups to implement the work and create updates to the standards and best practices. While Frameworx major releases are published every six months, some features in Frameworx 13.5 were developed in short-term agile-style development projects and have been made available to the broader membership several months in advance. Frameworx releases cover the full suite of TM Forum s best practices and standards including our core Frameworks Business Process, Information, Application, and Integration as well as our Business Metrics and our broad range of best practices. Frameworx 13.5 is no exception with 47 new items introduced across the full range. Facts about Frameworx 13.5: n 27 projects were chartered to create this release; n 141 companies participated in creating the deliverables; n About 380 individuals joined projects in the community approximately 40 percent of them were active contributors, while the rest had the opportunity to observe and review, comment or ask questions. New B2B best practices and APIs TM Forum has defined a comprehensive set of Accelerators tools, methodologies and standardized interfaces for creating and managing partnerships in a B2B2X environment with multiple partners, in a repeatable manner, and at industrial scale. They include new REST 2 application program interfaces (APIs) for catalog management, trouble ticketing and partner ordering. Big Data Analytics Guidebook Unleash the power of big data held by service providers using the new reference model, methodology and more than 30 use cases. This document defines a crucial linkage between business value that analytics can unlock and the big data technologies and information sources represented in the document s Big Data Reference Model. Threat Intelligence Dashboard and ROI Calculator The Cyber Security Readiness Dashboard uses newly defined metrics to communicate Cyber Security readiness for C-Level management. The dashboard reduces risk by providing insight into issues that could have financial, legal/ compliance and human safety impacts. Customer Experience Management Take a new approach to managing customer engagement with integrated Maturity Model, Lifecycle Model and Metrics. This new version of the Guidebook (incorporating 250 new metrics) marks the first step in the transition from managing customers' experiences in a snapshot piecemeal way toward managing engagement with the customer across their entire lifecycle. Core Frameworks Enhancements There have been key new additions to all four Frameworks to extend their application and make them more immediately useful. For more information about how they apply to you and your business, please see QUICK INSIGHTS 19

20 Sponsored feature Enhanced Business Intelligence with Location Analytics By Randall Frantz, Director, Telecommunications Solutions, Esri The integration of two highly complementary enterprise software solutions, business intelligence (BI) and geographic information system (GIS) technology, delivers new, powerful tools to telecommunication companies interested in gaining a competitive advantage. BI leverages corporate data to provide insight into how businesses are performing. GIS allows users to visualize and intelligently analyze data while discovering new patterns and trends not typically seen in traditional BI implementations. The fusion of GIS and BI, known as location analytics, gives decision makers powerful tools to gain insight from historically underutilized data and frees them from the constraints of conventional analysis and geographic boundaries. It is now possible to analyze external and internal factors that influence business performance while addressing issues on a local level. There is no limit to the types of data or the source from which it can be collected, visualized, and analyzed using an integrated BI and GIS platform. Development of BI software now provides more advanced analytical tools migrating from descriptive to predictive and even prescriptive analytics, which use the output of predictive algorithms to recommend business decision options. Despite these advances, BI tools still lack the important component of location. Even with simple events such as network or organizational performance, the lack of location awareness limits the ability of BI solutions to present a complete and accurate picture of events. The ability to filter and isolate results is also an advantage when it is time to identify smaller, less dramatic service interruptions or anomalies. Companies collect vast amounts of data with the expectation that managers who understand organizational performance will ultimately make good business decisions. Dynamic businesses, such as telecommunications, require accurate and timely data to respond quickly in highly competitive markets. In the past, managers often received incomplete and outdated data. The thinking has been that if a little data improves the decision-making process, then more data must lead to even better decisions. Unfortunately, when data is collected and analyzed on a regional or national scale, it is possible to miss small local anomalies. Figure 1 Integrated BI and Heat Map 20 QUICK INSIGHTS

Reimagining Business with SAP HANA Cloud Platform for the Internet of Things

Reimagining Business with SAP HANA Cloud Platform for the Internet of Things SAP Brief SAP HANA SAP HANA Cloud Platform for the Internet of Things Objectives Reimagining Business with SAP HANA Cloud Platform for the Internet of Things Connect, transform, and reimagine Connect,

More information

BIG DATA STRATEGY. Rama Kattunga Chair at American institute of Big Data Professionals. Building Big Data Strategy For Your Organization

BIG DATA STRATEGY. Rama Kattunga Chair at American institute of Big Data Professionals. Building Big Data Strategy For Your Organization BIG DATA STRATEGY Rama Kattunga Chair at American institute of Big Data Professionals Building Big Data Strategy For Your Organization In this session What is Big Data? Prepare your organization Building

More information

Hyper-Personalization with MNO Subscriber Data

Hyper-Personalization with MNO Subscriber Data Hyper-Personalization with MNO Subscriber Data Approaches and Recent Trends Regarding the Use of MNO Data for Hyper-Personalization By Zach Cohen, Shahzad Zia and Carly Christian Private and public-sector

More information

Blueprints and feasibility studies for Enterprise IoT (Part Two of Three)

Blueprints and feasibility studies for Enterprise IoT (Part Two of Three) Blueprints and feasibility studies for Enterprise IoT (Part Two of Three) 1 Executive Summary The Internet of Things provides a host of opportunities for enterprises to design, develop and launch smart

More information

REAL-TIME OPERATIONAL INTELLIGENCE. Competitive advantage from unstructured, high-velocity log and machine Big Data

REAL-TIME OPERATIONAL INTELLIGENCE. Competitive advantage from unstructured, high-velocity log and machine Big Data REAL-TIME OPERATIONAL INTELLIGENCE Competitive advantage from unstructured, high-velocity log and machine Big Data 2 SQLstream: Our s-streaming products unlock the value of high-velocity unstructured log

More information

Connected Product Maturity Model

Connected Product Maturity Model White Paper Connected Product Maturity Model Achieve Innovation with Connected Capabilities What is M2M-ize? To M2Mize means to optimize business processes using machine data often accomplished by feeding

More information

WHITEPAPER BEST PRACTICES

WHITEPAPER BEST PRACTICES WHITEPAPER BEST PRACTICES Releasing the Value Within the Industrial Internet of Things Executive Summary Consumers are very familiar with the Internet of Things, ranging from activity trackers to smart

More information

Torquex Customer Engagement Analytics. End to End View of Customer Interactions and Operational Insights

Torquex Customer Engagement Analytics. End to End View of Customer Interactions and Operational Insights Torquex Customer Engagement Analytics End to End View of Customer Interactions and Operational Insights Rob Witthoft Torquex {Pty) Ltd 10/1/2015 Torquex Customer Engagement Analytics Torquex Customer Engagement

More information

Transforming life sciences contract management operations into sustainable profit centers

Transforming life sciences contract management operations into sustainable profit centers Point of View Generating life sciences Impact Transforming life sciences contract management operations into sustainable profit centers Globally, life sciences companies spend anywhere from $700 million

More information

The IT Manager s Guide to Mobile Apps for Lines of Business

The IT Manager s Guide to Mobile Apps for Lines of Business By Jorge García, TEC Research Analyst Technology Evaluation Centers Around the world, organizations are incorporating mobile devices into their arsenal of work gadgets, using devices such as smartphones

More information

Master big data to optimize the oil and gas lifecycle

Master big data to optimize the oil and gas lifecycle Viewpoint paper Master big data to optimize the oil and gas lifecycle Information management and analytics (IM&A) helps move decisions from reactive to predictive Table of contents 4 Getting a handle on

More information

ORACLE UTILITIES ANALYTICS

ORACLE UTILITIES ANALYTICS ORACLE UTILITIES ANALYTICS TRANSFORMING COMPLEX DATA INTO BUSINESS VALUE UTILITIES FOCUS ON ANALYTICS Aging infrastructure. Escalating customer expectations. Demand growth. The challenges are many. And

More information

FWD. What the Internet of Things will mean for business

FWD. What the Internet of Things will mean for business Article 6: September 2014 Internet of Things This year the focus of business has shifted to the Internet of Things (IoT), the connection and sharing of information between objects, machines, people and

More information

Converging Technologies: Real-Time Business Intelligence and Big Data

Converging Technologies: Real-Time Business Intelligence and Big Data Have 40 Converging Technologies: Real-Time Business Intelligence and Big Data Claudia Imhoff, Intelligent Solutions, Inc Colin White, BI Research September 2013 Sponsored by Vitria Technologies, Inc. Converging

More information

BOOST YOUR BUSINESS WITH M2M TECHNOLOGY

BOOST YOUR BUSINESS WITH M2M TECHNOLOGY S AS K TEL BUS I NE S S S OLUT I ONS_B OOS T YO U R B U S I NE S S W I TH M 2 M TEC HNO LO G Y BOOST YOUR BUSINESS WITH M2M TECHNOLOGY JU LY, 201 5 SASKTEL BUSINESS SOLUTIONS_BOOST YOUR BUSINESS WITH M2M

More information

Patient Relationship Management

Patient Relationship Management Solution in Detail Healthcare Executive Summary Contact Us Patient Relationship Management 2013 2014 SAP AG or an SAP affiliate company. Attract and Delight the Empowered Patient Engaged Consumers Information

More information

Decisyon/Engage. Connecting you to the voice of the market. Contacts. www.decisyon.com

Decisyon/Engage. Connecting you to the voice of the market. Contacts. www.decisyon.com Connecting you to the voice of the market Contacts www.decisyon.com Corporate Headquarters 795 Folsom Street, 1st Floor San Francisco, CA 94107 1 844-329-3972 European Office Viale P. L. Nervi Directional

More information

Location Analytics for Financial Services. An Esri White Paper October 2013

Location Analytics for Financial Services. An Esri White Paper October 2013 Location Analytics for Financial Services An Esri White Paper October 2013 Copyright 2013 Esri All rights reserved. Printed in the United States of America. The information contained in this document is

More information

ByteMobile Insight. Subscriber-Centric Analytics for Mobile Operators

ByteMobile Insight. Subscriber-Centric Analytics for Mobile Operators Subscriber-Centric Analytics for Mobile Operators ByteMobile Insight is a subscriber-centric analytics platform that provides mobile network operators with a comprehensive understanding of mobile data

More information

Social Business Analytics

Social Business Analytics IBM Software Business Analytics Social Analytics Social Business Analytics Gaining business value from social media 2 Social Business Analytics Contents 2 Overview 3 Analytics as a competitive advantage

More information

Secure Data Transmission Solutions for the Management and Control of Big Data

Secure Data Transmission Solutions for the Management and Control of Big Data Secure Data Transmission Solutions for the Management and Control of Big Data Get the security and governance capabilities you need to solve Big Data challenges with Axway and CA Technologies. EXECUTIVE

More information

NetVision. NetVision: Smart Energy Smart Grids and Smart Meters - Towards Smarter Energy Management. Solution Datasheet

NetVision. NetVision: Smart Energy Smart Grids and Smart Meters - Towards Smarter Energy Management. Solution Datasheet Version 2.0 - October 2014 NetVision Solution Datasheet NetVision: Smart Energy Smart Grids and Smart Meters - Towards Smarter Energy Management According to analyst firm Berg Insight, the installed base

More information

Innovation: Add Predictability to an Unpredictable World

Innovation: Add Predictability to an Unpredictable World Innovation: Add Predictability to an Unpredictable World Improve Visibility and Control of Your Telecom Network Judith Hurwitz President and CEO Sponsored by Hitachi Data Systems Introduction It is all

More information

T r a n s f o r m i ng Manufacturing w ith the I n t e r n e t o f Things

T r a n s f o r m i ng Manufacturing w ith the I n t e r n e t o f Things M A R K E T S P O T L I G H T T r a n s f o r m i ng Manufacturing w ith the I n t e r n e t o f Things May 2015 Adapted from Perspective: The Internet of Things Gains Momentum in Manufacturing in 2015,

More information

Digital Marketing. SiMplifieD.

Digital Marketing. SiMplifieD. Digital Marketing. Simplified. DIGITAL MARKETING PAIN POINTS Research indicates that there are numerous barriers to effective management of digital marketing campaigns, including: Agencies and vendors

More information

Elevate Customer Experience and Engagement in the New Digital World

Elevate Customer Experience and Engagement in the New Digital World Elevate Customer Experience and Engagement in the New Digital World John Chan CRM Solutions Lead, Microsoft Business Solutions Microsoft Asia Customer buying behavior has fundamentally changed therefore,

More information

BEST PRACTICES RESEARCH

BEST PRACTICES RESEARCH Frost & Sullivan 2015 1 "We Accelerate Growth" Contents Background and Company Performance... 3 Industry Challenges... 3 Customer Impact and Business Impact... 4 Conclusion... 6 Significance of Customer

More information

Solve Your Toughest Challenges with Data Mining

Solve Your Toughest Challenges with Data Mining IBM Software Business Analytics IBM SPSS Modeler Solve Your Toughest Challenges with Data Mining Use predictive intelligence to make good decisions faster Solve Your Toughest Challenges with Data Mining

More information

TRANSPORTATION. Industry Solutions Harness the Power of GIS for Transportation

TRANSPORTATION. Industry Solutions Harness the Power of GIS for Transportation TRANSPORTATION Industry Solutions Harness the Power of GIS for Transportation Esri solutions support over 30,000 transportation customers worldwide who are using the transforming power of GIS technology

More information

Self-Service Big Data Analytics for Line of Business

Self-Service Big Data Analytics for Line of Business I D C A N A L Y S T C O N N E C T I O N Dan Vesset Program Vice President, Business Analytics and Big Data Self-Service Big Data Analytics for Line of Business March 2015 Big data, in all its forms, is

More information

Three proven methods to achieve a higher ROI from data mining

Three proven methods to achieve a higher ROI from data mining IBM SPSS Modeler Three proven methods to achieve a higher ROI from data mining Take your business results to the next level Highlights: Incorporate additional types of data in your predictive models By

More information

Understanding the impact of the connected revolution. Vodafone Power to you

Understanding the impact of the connected revolution. Vodafone Power to you Understanding the impact of the connected revolution Vodafone Power to you 02 Introduction With competitive pressures intensifying and the pace of innovation accelerating, recognising key trends, understanding

More information

Five steps to improving the customer service experience

Five steps to improving the customer service experience Five steps to improving the customer service experience Metrics, tips, and tools for utilizing customer feedback An Ovum White Paper Sponsored by Publication Date: January 2012 INTRODUCTION As the use

More information

Smart City Live! 9-10 May 2016, Nice

Smart City Live! 9-10 May 2016, Nice Monday, May 9, 2016 Smart City Live! 9-10 May 2016, Nice Draft agenda as of November 20, 2015 SMART LIVING SMART CITY SERVICES 9:00 AM CASE STUDY: Developing Smart Energy communities Understanding the

More information

BIG DATA FUNDAMENTALS

BIG DATA FUNDAMENTALS BIG DATA FUNDAMENTALS Timeframe Minimum of 30 hours Use the concepts of volume, velocity, variety, veracity and value to define big data Learning outcomes Critically evaluate the need for big data management

More information

Choosing a Location-based Application for your Business

Choosing a Location-based Application for your Business Choosing a Location-based Application for your Business A Step-by-Step Guide Executive Summary The following guide provides some simple steps that will help you understand how a location-based application

More information

An ESRI White Paper May 2007 Mobile GIS for Homeland Security

An ESRI White Paper May 2007 Mobile GIS for Homeland Security An ESRI White Paper May 2007 Mobile GIS for Homeland Security ESRI 380 New York St., Redlands, CA 92373-8100 USA TEL 909-793-2853 FAX 909-793-5953 E-MAIL info@esri.com WEB www.esri.com Copyright 2007 ESRI

More information

Solve your toughest challenges with data mining

Solve your toughest challenges with data mining IBM Software IBM SPSS Modeler Solve your toughest challenges with data mining Use predictive intelligence to make good decisions faster Solve your toughest challenges with data mining Imagine if you could

More information

Application Performance Management

Application Performance Management Application Performance Management Intelligence for an Optimized WAN xo.com Application Performance Management Intelligence for an Optimized WAN Contents Abstract 3 Introduction 3 Business Drivers for

More information

MES and Industrial Internet

MES and Industrial Internet October 7, 2014 MES and Industrial Internet Jan Snoeij Board Member, MESA International Principal Consultant, CGI Do you know MESA? Agenda Introduction Internet of Things Big Data Smart Factory or Smart

More information

Trends and Research Opportunities in Spatial Big Data Analytics and Cloud Computing NCSU GeoSpatial Forum

Trends and Research Opportunities in Spatial Big Data Analytics and Cloud Computing NCSU GeoSpatial Forum Trends and Research Opportunities in Spatial Big Data Analytics and Cloud Computing NCSU GeoSpatial Forum Siva Ravada Senior Director of Development Oracle Spatial and MapViewer 2 Evolving Technology Platforms

More information

Operationalizing Threat Intelligence.

Operationalizing Threat Intelligence. Operationalizing Threat Intelligence. Key Takeaways Time is becoming more and more compressed when it comes to protecting the enterprise Security teams must be able to rapidly and effectively translate

More information

A Forrester Consulting Thought Leadership Paper Commissioned By Zebra Technologies. November 2014

A Forrester Consulting Thought Leadership Paper Commissioned By Zebra Technologies. November 2014 A Forrester Consulting Thought Leadership Paper Commissioned By Zebra Technologies November 2014 Internet-Of-Things Solution Deployment Gains Momentum Among Firms Globally Improved Customer Experience

More information

MORE THAN DOTS ON A MAP. Optimizing Business Intelligence by Automating Fleet Management. 2014 MotionLink motionlink.com

MORE THAN DOTS ON A MAP. Optimizing Business Intelligence by Automating Fleet Management. 2014 MotionLink motionlink.com MORE THAN DOTS ON A MAP Optimizing Business Intelligence by Automating Fleet Management 2014 MotionLink motionlink.com GPS technology is increasingly transforming the way thousands of business and government

More information

Turning Big Data into Big Insights

Turning Big Data into Big Insights mwd a d v i s o r s Turning Big Data into Big Insights Helena Schwenk A special report prepared for Actuate May 2013 This report is the fourth in a series and focuses principally on explaining what s needed

More information

How to select the right Marketing Cloud Edition

How to select the right Marketing Cloud Edition How to select the right Marketing Cloud Edition Email, Mobile & Web Studios ith Salesforce Marketing Cloud, marketers have one platform to manage 1-to-1 customer journeys through the entire customer lifecycle

More information

sponsored by White paper What can CRM bring to your business? A study of the benefits offered by CRM across all areas of the business

sponsored by White paper What can CRM bring to your business? A study of the benefits offered by CRM across all areas of the business sponsored by >> White paper What can CRM bring to your business? April 2011 A study of the benefits offered by CRM across all areas of the business Contents Executive summary p 3 The evolution of CRM p

More information

Solace s Solutions for Communications Services Providers

Solace s Solutions for Communications Services Providers Solace s Solutions for Communications Services Providers Providers of communications services are facing new competitive pressures to increase the rate of innovation around both enterprise and consumer

More information

Capitalizing on the power of big data for retail

Capitalizing on the power of big data for retail IBM Software Big Data Retail Capitalizing on the power of big data for retail Adopt new approaches to keep customers engaged, maintain a competitive edge and maximize profitability 2 Capitalizing on the

More information

Advanced Analytics. The Way Forward for Businesses. Dr. Sujatha R Upadhyaya

Advanced Analytics. The Way Forward for Businesses. Dr. Sujatha R Upadhyaya Advanced Analytics The Way Forward for Businesses Dr. Sujatha R Upadhyaya Nov 2009 Advanced Analytics Adding Value to Every Business In this tough and competitive market, businesses are fighting to gain

More information

A FINEXTRA RESEARCH REPORT SPONSORED BY AXWAY MARCH 2015 OPERATIONAL INTELLIGENCE AND PAYMENTS MONITORING A REPORT ON A SURVEY BY FINEXTRA AND AXWAY

A FINEXTRA RESEARCH REPORT SPONSORED BY AXWAY MARCH 2015 OPERATIONAL INTELLIGENCE AND PAYMENTS MONITORING A REPORT ON A SURVEY BY FINEXTRA AND AXWAY A FINEXTRA RESEARCH REPORT SPONSORED BY AXWAY MARCH 2015 OPERATIONAL INTELLIGENCE AND PAYMENTS MONITORING A REPORT ON A SURVEY BY FINEXTRA AND AXWAY OPERATIONAL INTELLIGENCE AND PAYMENTS MONITORING A

More information

Making Machines More Connected and Intelligent

Making Machines More Connected and Intelligent White Paper Making Machines More Connected and Intelligent Overview It s no secret that technology is dramatically transforming the manufacturing arena. We re witnessing a new industrial revolution, led

More information

Streaming Analytics and the Internet of Things: Transportation and Logistics

Streaming Analytics and the Internet of Things: Transportation and Logistics Streaming Analytics and the Internet of Things: Transportation and Logistics FOOD WASTE AND THE IoT According to the Food and Agriculture Organization of the United Nations, every year about a third of

More information

Exploring the Impact of Geographic Context On Business Processes. Research Report Executive Summary

Exploring the Impact of Geographic Context On Business Processes. Research Report Executive Summary Business Trends in Location Analytics Exploring the Impact of Geographic Context On Business Processes Research Report Executive Summary Copyright Ventana Research 2013 Do Not Redistribute Without Permission

More information

Reveal More Value in Your Data with Location Analytics

Reveal More Value in Your Data with Location Analytics Reveal More Value in Your Data with Location Analytics Brought to you compliments of: In nearly every industry, executives, managers and employees are increasingly using maps in conjunction with enterprise

More information

WHITEPAPER. End-to-End Monitoring for Call Center Operations: How Intelligent Robots Can Improve the Customer Experience

WHITEPAPER. End-to-End Monitoring for Call Center Operations: How Intelligent Robots Can Improve the Customer Experience End-to-End Monitoring for Call Center Operations: How Intelligent Robots Can Improve the Customer Experience End-to-End Monitoring for Call Center Operations: How Intelligent Robots Can Improve the Customer

More information

Social Business Intelligence For Retail Industry

Social Business Intelligence For Retail Industry Actionable Social Intelligence SOCIAL BUSINESS INTELLIGENCE FOR RETAIL INDUSTRY Leverage Voice of Customers, Competitors, and Competitor s Customers to Drive ROI Abstract Conversations on social media

More information

Data Center Infrastructure Management. optimize. your data center with our. DCIM weather station. Your business technologists.

Data Center Infrastructure Management. optimize. your data center with our. DCIM weather station. Your business technologists. Data Center Infrastructure Management optimize your data center with our DCIM weather station Your business technologists. Powering progress Are you feeling the heat of your data center operations? Data

More information

Brochure More information from http://www.researchandmarkets.com/reports/3340542/

Brochure More information from http://www.researchandmarkets.com/reports/3340542/ Brochure More information from http://www.researchandmarkets.com/reports/3340542/ Location Analytics Market by Tools (Geocoding and Reverse Geocoding, Data Integration and ETL, Reporting and Visualization,

More information

The 4 Pillars of Technosoft s Big Data Practice

The 4 Pillars of Technosoft s Big Data Practice beyond possible Big Use End-user applications Big Analytics Visualisation tools Big Analytical tools Big management systems The 4 Pillars of Technosoft s Big Practice Overview Businesses have long managed

More information

WHITE PAPER Turning Insight Into Action. The Journey to Social Media Intelligence

WHITE PAPER Turning Insight Into Action. The Journey to Social Media Intelligence WHITE PAPER Turning Insight Into Action The Journey to Social Media Intelligence Turning Insight Into Action The Journey to Social Media Intelligence From Data to Decisions Social media generates an enormous

More information

Predictive Dynamix Inc Turning Business Experience Into Better Decisions

Predictive Dynamix Inc Turning Business Experience Into Better Decisions Overview Geospatial Data Mining for Market Intelligence By Paul Duke, Predictive Dynamix, Inc. Copyright 2000-2001. All rights reserved. Today, there is a huge amount of information readily available describing

More information

Business Intelligence Meets Business Process Management. Powerful technologies can work in tandem to drive successful operations

Business Intelligence Meets Business Process Management. Powerful technologies can work in tandem to drive successful operations Business Intelligence Meets Business Process Management Powerful technologies can work in tandem to drive successful operations Content The Corporate Challenge.3 Separation Inhibits Decision-Making..3

More information

INTERNET OF THINGS: SCIENCE FICTION OR BUSINESS FACT?

INTERNET OF THINGS: SCIENCE FICTION OR BUSINESS FACT? A HARVARD BUSINESS REVIEW ANALYTIC SERVICES REPORT INTERNET OF THINGS: SCIENCE FICTION OR BUSINESS FACT? Copyright 2014 Harvard Business School Publishing. sponsored by SPONSOR PERSPECTIVE Each year the

More information

Cloud Brokers Can Help ISVs Move to SaaS

Cloud Brokers Can Help ISVs Move to SaaS Cognizant 20-20 Insights Cloud Brokers Can Help ISVs Move to SaaS Executive Summary Many large organizations are purchasing software as a service (SaaS) rather than buying and hosting software internally.

More information

2015 Canadian Cellular M2M and IoT Market Leadership Award

2015 Canadian Cellular M2M and IoT Market Leadership Award 2015 Canadian Cellular M2M and IoT Market Leadership Award 2015 Contents Background and Company Performance... 3 Industry Challenges... 3 Market Leadership of Rogers Communications... 4 Conclusion... 6

More information

Copyright 2013 Splunk Inc. Introducing Splunk 6

Copyright 2013 Splunk Inc. Introducing Splunk 6 Copyright 2013 Splunk Inc. Introducing Splunk 6 Safe Harbor Statement During the course of this presentation, we may make forward looking statements regarding future events or the expected performance

More information

Sentiment Analysis on Big Data

Sentiment Analysis on Big Data SPAN White Paper!? Sentiment Analysis on Big Data Machine Learning Approach Several sources on the web provide deep insight about people s opinions on the products and services of various companies. Social

More information

WHITE PAPER Analytics for digital retail

WHITE PAPER Analytics for digital retail WHITE PAPER Analytics for digital retail Introduction The advent of organized retail propelled businesses to reach out to a wider spectrum of consumers in an effort to increase market share. This gave

More information

Taking A Proactive Approach To Loyalty & Retention

Taking A Proactive Approach To Loyalty & Retention THE STATE OF Customer Analytics Taking A Proactive Approach To Loyalty & Retention By Kerry Doyle An Exclusive Research Report UBM TechWeb research conducted an online study of 339 marketing professionals

More information

Next Generation Telecom Expense Management

Next Generation Telecom Expense Management IBM Software Industry Solutions Telecom Expense Management Next Generation Telecom Expense Management Expanding TEM Beyond Invoices to Generate Greater Value and Control for the Global Enterprise Next

More information

Monetizing Mobile Applications How to maximize investment, move up the value chain and expand into new markets

Monetizing Mobile Applications How to maximize investment, move up the value chain and expand into new markets Monetizing Mobile Applications How to maximize investment, move up the value chain and expand into new markets Strategic White Paper Network providers are well aware of the challenges presented by today

More information

BEYOND BI: Big Data Analytic Use Cases

BEYOND BI: Big Data Analytic Use Cases BEYOND BI: Big Data Analytic Use Cases Big Data Analytics Use Cases This white paper discusses the types and characteristics of big data analytics use cases, how they differ from traditional business intelligence

More information

Data analytics Delivering intelligence in the moment

Data analytics Delivering intelligence in the moment www.pwc.co.uk Data analytics Delivering intelligence in the moment January 2014 Our point of view Extracting insight from an organisation s data and applying it to business decisions has long been a necessary

More information

Oracle Real Time Decisions

Oracle Real Time Decisions A Product Review James Taylor CEO CONTENTS Introducing Decision Management Systems Oracle Real Time Decisions Product Architecture Key Features Availability Conclusion Oracle Real Time Decisions (RTD)

More information

Big Data: What defines it and why you may have a problem leveraging it DISCUSSION PAPER

Big Data: What defines it and why you may have a problem leveraging it DISCUSSION PAPER DISCUSSION PAPER 1. Enterprise data revolution One of the key trends in the enterprise technology world at the moment - and one that has been steadily growing in influence and importance in the past few

More information

Leverage Real-Time Business Intelligence to Optimize Mobile Resource Management

Leverage Real-Time Business Intelligence to Optimize Mobile Resource Management Leverage Real-Time Business Intelligence to Optimize Mobile Resource Management LEVERAGE REAL-TIME BUSINESS INTELLIGENCE TO OPTIMIZE MOBILE RESOURCE MANAGEMENT Commercial businesses and government organizations

More information

Big Data Analytics Reference Architecture and Business Value Roadmap

Big Data Analytics Reference Architecture and Business Value Roadmap Big Data Analytics Reference Architecture and Business Value Roadmap Joann O Brien, TM Forum Dr. Mick Kerrigan, Amdocs Management Ltd Wei Dong, Big Data Works Nikos Tsantanis, Intracom Telecom Paul Grepps,

More information

perspective Progressive Organization

perspective Progressive Organization perspective Progressive Organization Progressive organization Owing to rapid changes in today s digital world, the data landscape is constantly shifting and creating new complexities. Today, organizations

More information

Real-Time Big Data Analytics + Internet of Things (IoT) = Value Creation

Real-Time Big Data Analytics + Internet of Things (IoT) = Value Creation Real-Time Big Data Analytics + Internet of Things (IoT) = Value Creation January 2015 Market Insights Report Executive Summary According to a recent customer survey by Vitria, executives across the consumer,

More information

> Cognizant Analytics for Banking & Financial Services Firms

> Cognizant Analytics for Banking & Financial Services Firms > Cognizant for Banking & Financial Services Firms Actionable insights help banks and financial services firms in digital transformation Challenges facing the industry Economic turmoil, demanding customers,

More information

Industrial Automation. A Manufacturing Revolution in Automotive and Industrial Equipment

Industrial Automation. A Manufacturing Revolution in Automotive and Industrial Equipment Industrial Automation A Manufacturing Revolution in Automotive and Industrial Equipment 1 Automated production, integrated end-to-end: transparent, reliable, predictable and efficient. That s the promise

More information

DATAMEER WHITE PAPER. Beyond BI. Big Data Analytic Use Cases

DATAMEER WHITE PAPER. Beyond BI. Big Data Analytic Use Cases DATAMEER WHITE PAPER Beyond BI Big Data Analytic Use Cases This white paper discusses the types and characteristics of big data analytics use cases, how they differ from traditional business intelligence

More information

Increase success using business intelligence solutions

Increase success using business intelligence solutions white paper Business Intelligence Increase success using business intelligence solutions Business intelligence (BI) is playing an increasingly important role in helping large insurance carriers and insurers

More information

Customer Experience Management

Customer Experience Management Customer Experience Management Best Practices for Voice of the Customer (VoC) Programmes Jörg Höhner Senior Vice President Global Head of Automotive SPA Future Thinking The Evolution of Customer Satisfaction

More information

WHITE PAPER. Social media analytics in the insurance industry

WHITE PAPER. Social media analytics in the insurance industry WHITE PAPER Social media analytics in the insurance industry Introduction Insurance is a high involvement product, as it is an expense. Consumers obtain information about insurance from advertisements,

More information

Nokia Siemens Networks Network management to service management - A paradigm shift for Communications Service Providers

Nokia Siemens Networks Network management to service management - A paradigm shift for Communications Service Providers White paper Nokia Siemens Networks Network management to service management - A paradigm shift for Communications Service Providers Service management solutions enable service providers to manage service

More information

agility made possible

agility made possible SOLUTION BRIEF Converged Infrastructure Management from CA Technologies how can I deliver innovative customer services across increasingly complex, converged infrastructure with less management effort

More information

Internet of Things in Sweden

Internet of Things in Sweden Internet of Things in Sweden telenorconnexion.com Copyright Telenor Connexion 2014. All rights reserved. Sweden at the forefront of IoT We are in the midst of a social revolution with the same critical

More information

Big Data Analytics. Optimizing Operations and Enabling New Business Models

Big Data Analytics. Optimizing Operations and Enabling New Business Models Big Data Analytics Optimizing Operations and Enabling New Business Models By Sudeep Tandon Big Data has been the it term in business for nearly half a decade but few organizations have really leveraged

More information

Telematics. ARI White Paper / 2014. Driven.

Telematics. ARI White Paper / 2014. Driven. Telematics ARI White Paper / 2014 Driven. Telematics Contents Introduction...2 Telematics Functionality...2 Benefits...3 Challenges...4 How to get started...5 Conclusion...6 References...6 This manuscript

More information

Maximizing Returns through Advanced Analytics in Transportation

Maximizing Returns through Advanced Analytics in Transportation Maximizing Returns through Advanced Analytics in Transportation Table of contents Industry Challenges 1 Use Cases for High Performance Analytics 1 Fleet Optimization / Predictive Maintenance 1 Network

More information

The IBM Solution Architecture for Energy and Utilities Framework

The IBM Solution Architecture for Energy and Utilities Framework IBM Solution Architecture for Energy and Utilities Framework Accelerating Solutions for Smarter Utilities The IBM Solution Architecture for Energy and Utilities Framework Providing a foundation for solutions

More information

Converged, Real-time Analytics Enabling Faster Decision Making and New Business Opportunities

Converged, Real-time Analytics Enabling Faster Decision Making and New Business Opportunities Technology Insight Paper Converged, Real-time Analytics Enabling Faster Decision Making and New Business Opportunities By John Webster February 2015 Enabling you to make the best technology decisions Enabling

More information

For healthcare, change is in the air and in the cloud

For healthcare, change is in the air and in the cloud IBM Software Healthcare Thought Leadership White Paper For healthcare, change is in the air and in the cloud Scalable and secure private cloud solutions can meet the challenges of healthcare transformation

More information

Symantec Global Intelligence Network 2.0 Architecture: Staying Ahead of the Evolving Threat Landscape

Symantec Global Intelligence Network 2.0 Architecture: Staying Ahead of the Evolving Threat Landscape WHITE PAPER: SYMANTEC GLOBAL INTELLIGENCE NETWORK 2.0.... ARCHITECTURE.................................... Symantec Global Intelligence Network 2.0 Architecture: Staying Ahead of the Evolving Threat Who

More information

Evaluation Guide. Call Center Operations and SLA Monitoring Performance Blueprint

Evaluation Guide. Call Center Operations and SLA Monitoring Performance Blueprint Evaluation Guide Call Center Operations and SLA Monitoring Performance Blueprint Achieving real-time efficiencies and enhanced customer satisfaction in call center operations Corporate frontlines are experiencing

More information

DATA MANAGEMENT FOR THE INTERNET OF THINGS

DATA MANAGEMENT FOR THE INTERNET OF THINGS DATA MANAGEMENT FOR THE INTERNET OF THINGS February, 2015 Peter Krensky, Research Analyst, Analytics & Business Intelligence Report Highlights p2 p4 p6 p7 Data challenges Managing data at the edge Time

More information

Data Management: Foundational Technologies for Health Insurance Exchange Success

Data Management: Foundational Technologies for Health Insurance Exchange Success INDUSTRY BRIEF Data Management: Foundational Technologies for Health Insurance Exchange Success Sponsored by: Informatica Janice W. Young November 2013 IN THIS INDUSTRY BRIEF U.S. health plans have been

More information

Driving Business Value with Big Data and Analytics

Driving Business Value with Big Data and Analytics Emily Plachy informsny September 17, 2014 Driving Business Value with Big Data and Analytics Business Analytics Transformation Making IBM a Smarter Enterprise Agenda Case studies Human Resources: Detect

More information