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1 Twitter: #VRBTIS 1

2 Next Generation Analytics and Big Data for Business Finding Insight and Information that Matters and is Easily Understood Tony Cosentino VP & Research Director Marcus Hearne - IBM Chester Liu - QlikTech Linda Hecht - Esri

3 Tony Cosentino Vice President & Research Director Tony is responsible for the business analytics research practice including business intelligence, location intelligence and operational intelligence. He is an expert in helping business and IT organizations develop strategies to use information and analytics to take smarter actions and make better decisions. Tony is responsible for researching the intersection where information can be used and enhanced with business technology innovations including: business analytics, big data, cloud computing, business collaboration, mobile technology and social media. Tony is an expert in market research and business intelligence with decades of experience. Tony has helped business and IT use technology across marketing, sales and customer service and brought one of the first global deployments of a web-based architecture for Voice of the Customer (VOC). Tony is an accomplished author with his book titled Into the River: How Big Data, the Long Tail, and Situated Cognition are the Changing the World of Market Insights Forever. Tony has held research and consulting positions in the technology industry over the last two decades and worked at companies like General Electric, TNS and Ipsos. Tony holds a BA in Political Science from the University of California, San Diego and an MBA with a focus in Business Analytics and Computing Systems (BACS) from the San Francisco State University School of Business. His work has been published in Business 2.0, Marketing News and many other publications.. 3

4 Marcus Hearne Business Unit Executive, Business Analytics, IBM Marcus career in technology began in Since then, he has held positions in IT, R&D, and Marketing. Today Marcus leads worldwide Product and Solutions Marketing for Predictive and Business Intelligence (SPSS and Cognos BI) within the Business Analytics Division of IBM. Marcus joined IBM as an acquisition employee when IBM purchased SPSS in 2009 for $1.2B. He moved to the US and joined SPSS in 1999 as a marketing manager, and quickly moved to product management to join the team for the flagship product (formerly known as SPSS, SPSS Statistics and now IBM SPSS Statistics). From product management he moved to product marketing to lead the team for SPSS Statistics, and then the team for SPSS Modeler, before becoming the Predictive Analytics Market Management team leader and then head of the Predictive Analytics Product Marketing team worldwide. Marcus was born in London, England. He grew up in Melbourne, Australia where he graduated from Melbourne University with a Bachelor of Commerce degree and presently lives in Chicago, USA where the winters still leave him a bit stunned. 4

5 Chester Liu Director of Product Marketing, QlickTech Chester Liu, Director of Product Marketing at QlikTech, has been making sense of data, often big data, for over 20 years. He has an enduring passion for storytelling with data and communicating massive amounts of data in a simple, relevant way. He holds a PhD from the University of Massachusetts at Amherst where he ran large-scale simulations in the field of computational polymer physics. At Weather Services International, he patented a novel method of visualizing the output of weather forecasting supercomputers, making weather forecasts easy to understand for the television audience. More recently at RSA, the Security Division of EMC, he helped bring to market a security management solution that helps security analysts tackle the dual challenges of Big Data and cybercrime. Now at QlikTech, he is showing how the revolutionary associative experience of QlikView makes data-driven decision-making accessible to everyone, everywhere. 5

6 Linda Hecht Chief Marketing Officer, ESRI Linda Hecht spearheads Esri s global campaigns for location analytics. Her passion and energy help direct numerous branding, social, PR, and marketing efforts. Linda Hecht has more than 25 years of experience in management, marketing, and programming in high tech. Linda began her career at Esri and helped grow the company from 100 staff to over 3,000 today. As Chief Marketing Officer for Esri, Linda leads branding, business development government affairs, and all aspects of marketing to more than 40 industries worldwide. Linda holds a geography degree from University of California Los Angeles and a Master of Arts in Management from the University of Redlands. She has served on the Board of Directors of the Geospatial Information Technology Association (GITA) and the Corporate Advisory Board for the School of Business at the University of Redlands. 6

7 Next Generation Analytics and Big Data for Business Finding Insight and Information that Matters and is Easily Understood Tony Cosentino VP & Research Director Marcus Hearne - IBM Chester Liu - QlikTech Linda Hecht - Esri

8 8 8

9 What is Big Data Analytics? Nobody seems to agree but it could be big More of an ethos with some foundational drivers: Moving from 20 th to 21 st century analytics: designed data and organic data. Unifying beyond internal and external data silos. Utilizing more than analytical silos. Moving from the V s to focus on the W s. 9

10 Four Pillars of Big Data Analytics (BDA) Intersection of BDA and traditional analytics: bringing structured and unstructured data together architecturally. Visual analytics and data discovery: exploring data in many ways. Predictive analytics: reducing complexity and broadening scope. Real-time and right-time analytics: operationalizing analytics on an industrial scale. 10

11 Four Types of Analytic Discovery Event: Leveraging streams of events from applications, systems and machine data. Data: Utilizing data to better understand the good, bad and ugly of what is analyzed. Visual: Presenting the data in a simple and sophisticated manner through simple to sophisticated methods. Information: Harvesting the content and text in our enterprise to enhance the presentation and insights. 11

12 Enabling the Five Analytic Personas A big data foundation must meet the following roles and responsibilities: Information Consumers Digest information and perform basic interactions Knowledge Workers Utilize and interact analytics to drive actions and decisions. Designers Enable the design and use of information across roles. Analysts Mashup data and design analytics to provide foundational insights for business. Data Geeks Enable big data to be exploited in an immature world through Data Scientists. 12

13 Big Data Must Improve Information Issues Top five barriers facing organizations today Multiple versions of the truth 64% Data spread across too many apps and systems 67% Data not timely enough 60% Data not clean enough to use 58% Technology not able to meet needs 57% Source: Ventana Research Information Management Benchmark Research 13

14 Staffing and Training Challenges Obstacles to Big Data Analytics Staffing 79% Training 77% Real-time 67% Cost 64% Integration 64% Related research: Analysis capabilities not available on big data are predictive analytics (27%), forecasting (22%), data and visual discovery (19%). New analytics are made available most often with analysts and IT working together (32%). Source: Ventana Research Technology Innovation Benchmark Research 14

15 Changing Needs of Buyers Category Usability Reliability Capability Manageability TCO/ROI Adaptability Validation % selecting Very Important 64% 54% 48% 47% 47% 35% 23% Source: Ventana Research Technology Innovation Benchmark Research Related research: Executives (76%) consider usability to be a very important consideration. Confidence in existing vendors is high (75%) to provide innovative technology. User experience and simplicity is most critical. 15

16 16 16

17 Your Moderator and Panelists Linda Hecht Chief Marketing Officer ESRI Tony Cosentino VP & Research Director Ventana Research Marcus Hearne Business Unit Executive IBM Chester Liu Director, Product Marketing QlikTech #VRBTIS 17

18 Twitter: #VRBTIS 18

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