1. 11 Beyond the Hype: The Hard Work Behind Analytics Success Why competitive advantage from analytics is declining and what to do about it David Kiron @DavidKiron1 Executive Editor, MIT Sloan Management Review Sam Ransbotham @Ransbotham Associate Professor, Boston College Analytics Guest Editor, MIT Sloan Management Review

2. 2 GRITRPART Getting the Right Information to the Right Person at the Right Time

3. 3 Two Big Flaws with GRITRPART 1.Not sufficient 2.Not coherent

4. 4 See http://sloanreview.mit.edu/analytics2016 4 Data and Analytics Global Study 6-year research program Annual reports, surveys, interviews and case studies Input from more than 10,000 executives, managers and thought leaders 100+ countries

5. 5 High Level Findings Competitive advantage with analytics is waning “Analytics used to be a competitive advantage but now it’s becoming table stakes” -- Steve Allan, head of analytics for Silicon Valley Bank Despite decline, optimism remains “There’s huge appetite not just for the analytics, but for our consultative help in resolving their problems” -- Angela Galeziowski, vp of sales, strategic insights and planning for Intercontinental Hotels Group Success requires more than a resolution, it requires resolve “General Mills is a huge ship, and it’s very difficult to move. So there was a lot of resistance.” -- Wayde Fleener, senior manager at General Mills, Global Consumer Insights 3

6. 6 See http://sloanreview.mit.edu/analytics2016 6 Competitive advantage from analytics is declining 7

7. 7 See http://sloanreview.mit.edu/analytics2016 7 More data but insights have less effect on strategy While access to useful data has increased, ability to use insights to drive strategy continues to decline. 9

8. 8 See http://sloanreview.mit.edu/analytics2016 8 Increase in analytically challenged organizations 12

9. 9 See http://sloanreview.mit.edu/analytics2016 9 Optimism versus pessimism about analytics Optimism about analytics is a stronger sentiment than pessimism. 13

10. 10 See http://sloanreview.mit.edu/analytics2016 10 Make a change 1. Use analytics throughout the organization 15

11. 11 See http://sloanreview.mit.edu/analytics2016 11 Make a change 2. Blend analytics with intuition 16

12. 12 Make a change 3. Plan to apply analytics to strategy

13. 13 Bank of England

14. 14 See http://sloanreview.mit.edu/analytics2016 14 Make a change 4. Explore new options with analytics 18

15. 15 GRITRPART Resolve, not resolution

16. 16 For a copy of the full report: http://sloanreview.mit.edu/analytics2016 For the data and analytics initiative: http://sloanreview.mit.edu/data-analytics Thank you David Kiron (dkiron@mit.edu) Sam Ransbotham (ransboth@mit.edu)