1. © David L. Wells Integrating Analytics into Business Intelligence Dave Wells (dwells@infocentric.org) dwells@infocentric.org

2. Divergent Communities © David L. Wells dwells@infocentric.org

3. Systems Thinking Its About Cause and Effect capacity gaphiring + workforce capacity + - workload performance bonuses employee productivity + + - outstanding orders + - + customer incentives product demand + + + product revenue sales volume + research & development + + + profits product lines + - + + + © David L. Wells dwells@infocentric.org

4. Balanced Scorecard Its About Business Performance © David L. Wells dwells@infocentric.org

5. Balanced Scorecard Its About Business Performance © David L. Wells dwells@infocentric.org

6. Balanced Scorecard Or About Government Performance © David L. Wells dwells@infocentric.org

7. Business Intelligence (BI) Defined The processes, technologies and tools needed to turn data into information, information into knowledge, and knowledge into plans that drive profitable business actions. - David Loshin © David L. Wells dwells@infocentric.org

8. Intelligence: A property that encompasses many related abilities, such as the capacities to reason, plan, solve problems, think abstractly, comprehend, and learn … (source: wikipedia) Business Intelligence is the ability of an organization or business to reason, plan, predict, solve problems, understand, innovate, and learn in ways that increase organizational knowledge, inform decision processes, enable effective actions, and help to establish and achieve business goals. - Dave Wells Business: The social science of managing people to organize and maintain collective productivity toward accomplishing particular creative and productive goals… (source: wikipedia) © David L. Wells dwells@infocentric.org BI Re-Defined

9. © David L. Wells operational systems transactional databases integration systems master data & data warehouses intelligence systems business activity management & decision systems KPIs 1-4 business knowledge analysis systems business analytics © David L. Wells dwells@infocentric.org BI Concepts

10. Business Analytics vs. Business Intelligence retrospectiveprospectivescheduled & publishedad hoc & on-demandpredictable & stabledynamic & volatile Business Analytics Performance Management 1-4 © David L. Wells dwells@infocentric.org organizations & functionsconversation & collaboration Business Analysis Concepts

11. Business Analytics Performance Management Business Analytics vs. Business Intelligence retrospectiveprospectivescheduled & publishedad hoc & on-demandpredictable & stabledynamic & volatile 1-4 © David L. Wells dwells@infocentric.org organizations & functionsconversation & collaboration Business Analysis Concepts Business Analytics Performance Management datameasuresmetricsindicators dashboards & scorecards discoveryhypothesistestingknowledgeactionmonitoring

12. The Role of Analytics in Business seeing what you expect to see knowing what you need to see knowing where you should investigate learning what you did not know knowing what? knowing when? knowing how much? knowing why? past future DEPTH OF INSIGHT AMOUNT OF FORESIGHT BREADTH OF INSIGHT 1-6 © David L. Wells dwells@infocentric.org BI state-of-practice Business Analysis Concepts

13. Business Analytics vs. Business Intelligence 1-4 © David L. Wells dwells@infocentric.org Business Intelligence Business Analytics Data Warehousing Data Warehousing Enterprise Data User Data Local Data Business Analysis Concepts

14. Business Analytics vs. Business Intelligence 1-4 © David L. Wells dwells@infocentric.org Business Intelligence Business Analytics Data Warehousing Data Warehousing Enterprise Data User Data Local Data Business Analysis Concepts

15. © David L. Wells source: http://flowingdata.com Statistical Potholes

16. © David L. Wells source: http://flowingdata.com Statistical Potholes

17. © David L. Wells source: http://flowingdata.com Statistical Potholes

18. © David L. Wells source: http://flowingdata.com Statistical Potholes

19. reports query OLAP dashboards scorecards data mining MS-Excel MS-Access local data data dumps “spreadmarts” “manualytics” © David L. Wells dwells@infocentric.org Centralized & Controlled De-centralized & Autonomous IT Intensive BIOffice Productivity Business Analysis Today

20. It is managers of the business who become de facto business analysts. The controller performing revenue and cash flow analysis, the compliance officer performing risk analysis, and the marketing manager analyzing campaign effectiveness – all have some business analyst roles and responsibilities. These people are analytic professionals though they are not professional analysts. © David L. Wells dwells@infocentric.org Centralized & Controlled De-centralized & Autonomous IT Intensive BIOffice Productivity Business Analysis Today

21. EXPENSIVE RIGID AND SLOW BIG INFRASTRUCTURE SERVER-CENTRIC UNTRACEABLE NOT REPEATABLE DOESN’T SCALE DESKTOP-CENTRIC Source: Gartner 2008 next generation analytic tools © David L. Wells dwells@infocentric.org Centralized & Controlled De-centralized & Autonomous IT Intensive BIOffice Productivity Business Analysis Trends

22. Source: Gartner 2008 Centralized & Controlled De-centralized & Autonomous IT Intensive BIOffice Productivity Source: Gartner 2008 © David L. Wells dwells@infocentric.org easy access to all types of local data self-service connection to enterprise data adaptable to changing requirements columnar, in-memory data management data in view all of the time designed to facilitate discovery and exploration intuitive interface – easy to learn and use embedded statistical functions – analytics for non-statisticians desktop, server-based, and cloud options individual, departmental, and enterprise scalability customization, collaboration, and personalization managed metadata and traceability FILL THE MIDDLE & BUILD THE BRIDGES Business Analysis Trends

23. Source: Gartner 2008 Centralized & Controlled De-centralized & Autonomous IT Intensive BIOffice Productivity Source: Gartner 2008 © David L. Wells dwells@infocentric.org easy access to all types of local data self-service connection to enterprise data adaptable to changing requirements columnar, in-memory data management data in view all of the time designed to facilitate discovery and exploration intuitive interface – easy to learn and use embedded statistical functions – analytics for non-statisticians desktop, server-based, and cloud options individual, departmental, and enterprise scalability customization, collaboration, and personalization managed metadata and traceability FILL THE MIDDLE & BUILD THE BRIDGES Good. But not good enough. Business Analysis Trends

24. Source: Gartner 2008 Centralized & Controlled De-centralized & Autonomous IT Intensive BIOffice Productivity Source: Gartner 2008 © David L. Wells dwells@infocentric.org Business Analytics Future Where is the visualization?

25. © David L. Wells dwells@infocentric.org Business Analytics Future

26. Source: Gartner 2008 Centralized & Controlled De-centralized & Autonomous IT Intensive BIOffice Productivity Source: Gartner 2008 © David L. Wells dwells@infocentric.org working with very large databases and “big data” filtering noise and clutter from relevance changing views and changing contexts embedded visualization – easy to choose the right visual methods geo-coding and geospatial visualizations text, images, and social media data scalable visuals – from big screen to mobile devices socialized visuals – publishing, rating, comments designed to facilitate discovery and exploration extending to visual dashboard design (not starting there) MAKING IT VISUAL Business Analytics Future

27. © David L. Wells Dave Wells dwells@infocentric.org Thank You!