Turn your information into a competitive advantage

Transcription

1 INDLÆG 03 Data Driven Business Value Turn your information into a competitive advantage Jonas Linders (dato) CGI Group Inc. 2015

2 Jonas Linders Education Role Industries M.Sc Informatics Experience in Solution Area Manager BI & Big Data Analytics Manufacturing Transport & Logistics Utilities Telco Retail Government Health Banking Strategy and Governance: Helping clients with the governance and strategy aspects of their BI initiatives since 2009 Business Analysis: Engageing in early stages of BI Initiatives facilitating the clients SME s to articulate objectives and demands since BI Architecture: Designing Data Warehouse and Business Intelligence solutions for our clients since

3 Agenda Big Data Definition BI Scenarios Driving Forces Data to Diamonds Big Data Lab Q & A 3

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5 Big Data Analytics is strategic Big Data makes it possible to know, predict and influence events that determine the success of your organization Using data to help our clients gain insights into the people and things important to them Use those insights to improve business processes Members in the Data Management, Business Intelligence and Analytics space 250 5

6 The BI Scenarios Harmonization High Enterprise Reporting Performance Management Low Domain Applications Information Discovery Low High Integration 6

7 Big Data Analytics Information Areas Business People Things 7

8 Four key change initiatives emerges as priorities 62% 41% 34% 15% Digital Customer Experience 360 Enterprise Views Harnessing the Internet of Things Monetization (New data-based services) Improving digital customer experience using insights from customer data Integrating data across silos to enable 360 views of customers, facilities, and other elements Using data from sensors (IoT) to improve operational effectiveness, e.g., predictive maintenance Monetizing data by bringing new and innovative information services to market Source: CGI Voice of Our Clients (2015) 8

9 Consumers have changed! Consumers infidelity 61% of year olds say they change more often brand than a few years ago Consumers opinions 62% of Consumers have already given up buying a product after learning of online opinion. Social networks influence 91% of users "share" on the internet at least once a week Real time obsession 247 billion s 16 billion SMS 90 million Tweets sent per day worldwide Individualization of the consumption 9 Multi-devices and multiconnected consumers

10 New opportunities, and challenges, are growing fast Self Service BI Power in the hands of business Predictive Analytics Improve business processes with sharper predictions of human and machine behavior Mobility Deliver dashboards and analysis where people need them Internet of Things Manage, optimize, and monetize sensor and machine data Hadoop and nosql Managing huge complex data Cloud Step-function increases in efficiency and flexibility 10

11 Analytical methods 11

12 Data about Things Predictive Maintenance ThyssenKrupp Elevators wanted to find ways to monitor their install base of 1.1 million elevators world wide. Later generation of elevators provided a rich varity of sensors. Internet of Things platform handles the collection of data, processing of events and classification of alerts for monitoring Analytics provice the train and refine the predictive models 12

13 Data about People Visitor analysis Liseberg wanted to use the Mobile Channel to have a dialogue with their customers before, during and after the visit to the theme park. Liseberg wanted to facilitate the visit to the park by giving assistance to the visitors about direction, attractions, queue-times and the location of family/friends Beacon Analytics provide insights on Number of visits and visitors Queue time and durations Movements and paths 13

14 D2D Methodology Framework BI Governance Control Funding Manage Programs Establish Standards Methodology Leadership Define Vision Technology Blueprint Develop User Skills BI Management Plan Act Do Vision Shape Change Deliver Maturity & Quality Scan Strategy Study Feasibility Study Business Case Roadmap & Blueprint Scan Requirements Analysis Architecture Design Project Scan Build IM Foundation Build BI & Analytics Test & Transition Service Scan Application Mgmt. Data Resourcing Information Delivery Check Strategy Assessment Roadmap & Blueprint Assessment Compliance Audit Service Evaluation The CGI Data to Diamonds Framework is the most comprehensive BI methodology I have seen, after meeting lots of BI vendors and systems integrators worldwide. - Nikolaus Walkowsky, DHL Express Global BI Manager CGI Group Inc. CONFIDENTIAL 14

15 CGI Big Data Lab A Data to Diamonds proposition 15

16 The Challenge $ ROI Resources requirements Proof of Value Defined technical requirements Tech and analytical competencies Technical environment and tools Articulated idea of the value Available data 16

17 Technical Environment and Tools Data-Driven Business Insights File Sources Database Sources Data Lake (Hadoop + RDMS) EDW Integrated Structured Enterprise Data Data Marts Reporting & Analytical Information Access Dashboards, Reporting, Analytics, Mobile Visualization, Real-Time Streaming Sources Decision Engine MDM Party, Product, References Operations Insights Mart Operational Access Business Integration Data Governance Metadata, Data Quality, Lifecycle Management 17

18 Solution & Technical Architecture Performance Engineer Competencies Big Data Lab AUTOMOTIVE TELCOS FINANCE Consumption User Experience Leads Big Data Designers Ad Hoc Analysis Root Cause Analysis Multi-Device Provision Industry Experts Data Scientists Descriptive Analytics Methods / Insight Generation Predictive Analytics Behavioral Analytics Data Architects, DBA s ETL Designer / Developer Data Integration Experts Multiple Source Acquisition Data Management Data Integration Data Quality Assurance Data Architects, DBA s ETL Designer / Developer Data Integration Experts 3rd Party Data Providers Data Sources Unstructured Data Structured Data Streaming/ Voice Data 18

19 Delivering valuable Insights from Data Collaboration combine understanding of the business domain, and the technical side of data and systems. Business understanding Data understanding Evolutionary approach leveraging Big Data opportunities, whilst safeguarding investments made in the past. User experience users will adopt what they can use and what brings them value. Deployment Data Data preparation Modelling Agility - highly adaptive to changing business environment and user needs. Sustainability ensure service levels beyond business expectations against affordable cost levels Evaluation SYSTEM INSIGHTS 19

20 Examples Influence driver behavior, improving safety and saving fuel Dynamic pricing in the on-line store Finding the influencers to attract new customers Localize and predict water leakage Improved diagnosis, leveraging health device analytics 20

21 Ministry of Infrastructure Predicting traffic congestions AEX Lusdata A22 L Lusdata A22 R Prior to a renovation of the Velsertunnel the Ministry of Infrastructure wanted to investigate if it was possible to develop a model that predicts traffic flow by using Big Data technologies and a combination of internal and external data sources. Collaborating with customer SME s utilizing our Big Data Lab and using Proof of Value methodology. Resulted in a predictive model for traffic in a road network based upon 2 years of internal and external data covering +50 variables allowing both Basic Trend Forecast for traffic intensity and predicting impact of external factors. NS Matrix Google trends Feestdagen Griep KNMI Dataset Incidenten Lusdata N197 R Lusdata A9 L Lusdata N197 L Lusdata A9 R Lusdata N246 L Lusdata N246 R Next steps are to increase quality and availability, augmenting by new datasets and developing new tools for computing traffic intensity on a route. 21

22 Vitens Finding the leak Water supply companies in Europe invest 20 billion euros annually to maintain the reliability of their networks. Leaks present problems for customers and have a major impact on the operations. Vitens wanted to explore how to leverage available data to better predict and localize leakage in the network. Collaborating with customer SME s utilizing our Big Data Lab and using Proof of Value methodology to Identify predictive indicators for leakage detection. Resulted in a predictive model that enables leak detection within a 2.5km radius in 50% of cases (was 20km). Enabling better customer service and saving millions in preventing interruptions. 22

23 Wrap up $ CGI Big Data Labs available in Netherlands IBM Microsoft France Amazon Germany Cloudera Teradata Czech republic Open Source 23

24 Vil du vide mere? Kontakt: Jonas Linders Solution Area Manager, BI & Big Data Mobil:

25 Data and Analytics at CGI Hundreds of successful projects across all industry sectors and functions Improve the customer experience Create business value from data about Things and People Reduce the costs and complexity of managing evergrowing volumes of data A proven Big Data, analytics and BI delivery methodology called Data2Diamonds Improve patient care Embedded in many of CGI s IP products, including Advantage, HERO, Collections360, Trade360 and Strata A $900 Million Business in 2014 Improve citizen safety and security Over 4,000 Members skilled in delivery A global practice team, and practice leadership council 25