This document discusses how to build social intelligence in organizations by bringing social capabilities to business intelligence (BI) tools. It recommends focusing on business goals, decoupling data collection from analysis, defining ad-hoc cross-functional teams, tying analysis to decision-making, and empowering business users with self-service analytics and collaborative workspaces. Examples of how social BI can help sales, operations, projects and management are provided.

1. How to Build Social Intelligence in Your Organization

2. What do we see in the market today?

3. Speed of making a decision is becoming incredibly important

4. Analytical tools are still too complicated for business users to use

5. Data insights get lost outside of the BI system

7. We live in a Social World

8. Bringing Social to BI

9. Key requirements for Social BIPersonalization, individual workspaces

10. Desktop integration (email, search, etc)

11. Annotations, discussion threads

12. White boarding

13. Presence awareness

14. Chatting, Instant Messaging

15. Searching

16. Subscribing

17. FriendingWhere do you begin?

18. #1 - Focus on business goals & business usersKeep the end user in mind from the startUnite the IT department with less technically savvy business usersUsers should control the flow & content, while IT group secures the data & subsequent analysis.

19. #2 - Decouple the data collection from the business analysisData CollectionContinuously collect, cleanse and properly structure data from multiple sourcesKeep business users out of the complexities of the dataBusiness insightLet business users define their needs & goalsIncrease the velocity of your insight generationAllow for continuous change & evolution

20. #3 - Work-in your ad-hoc teams Define your ad-hoc teamsBy areas of interest (NOT by org chart)Add BI experts to these teamsGradually add teams to the pool of usersMore people using the system collaboratively improve the level of the suggestiveness

21. #4 - Tie analysis to decision making processesDecision makers must have accurate insights in front of themAdd the insight to decision making processesUse the Insight-evolution traceability of the system to ensure proper documentation of the decision making

22. #5 - Faster, stronger enterpriseCollaborative decision environmentCultural transformationShift away from the data-centric approach to the knowledge- and wisdom-centric method

23. How do you empower business users?

24. Key Requirements for Self-Service BIRich Data Visualization

25. Interactivity

26. Self-Service Analytics

27. Web 2.0 features (wikis, tags, like buttons, etc.)

28. Discoverable capabilities (no ‘right click’)