Business Discovery – for proactive and agile enterprisesAbhijit VarmaDirector, Management ConsultingKPMG
About the SpeakerDirector KPMGTechnology TouristFatherMovie BuffChennai Super Kings
The 3 LEGGED CHICKENBefore youembark onyour BIJourneyRemember
More than 50 percent of businessintelligence projects fail to deliver theexpected benefitKPMG and Cambridge University Sur...
75% of organizations see MS Excel asthe prime way of supportingperformance managementOracle and Cranfield School of manage...
70% of companies use BI metrics thataren’t reliable or statistically validHarvard Business Review
15 dashboards200+reports600+ users2000+ pdf usersCEO, CFO, COO, HoFsSupport StaffPartners, DirectorsManagersAuditKGSTaxAdv...
things we learntfrom our BI implementations
Jonathan Freedman andScott FraserImportant study on stakeholder managementFoot in the door
Tried to get a group of middleclass homeowners to put this sign in theirneatly manicured lawn as a public interest exercis...
Tried again with another set of home ownersCompliance76 %The experiment
This time, the researchers first asked people if they were okay to put asmall card (with the same message) in their window...
Think BigStart SmallDeliver Quickly1
Sheena IyengarChoices are important
Retail store Jam Section : was changedevery hour to study shopper behaviourRetail StoreWhen only 6 varieties of Jams wered...
LessChoicesAre better2
•We spend more time reconciling data than analyzing it (33%).•No one is accountable for the quality of information (17%).•...
Data quality to be checkedthoroughly before embarking onthe BI journey
Beware your past sins !3
With Great Power Comes Great ResponsibilitySource : Sony Pictures
Visualize Data,Not Visualies4
Loss AversionLosses loom larger than gains
Loss AversionLosses loom larger than gains
Ownership BiasPeople value things more whenthey feel a sense of ownership
The scooter youborrow from yourfriend, once in awhile….What is more valuable to you….Your first scooterthat your dadbought...
Harvard business review, June 2006Eager Sellers, Stony BuyersBy John T. Gourville
The “9X” Problem5
Excell IssueMS Excel + Cell phonesIn many organizations,Administrators relyheavily on MS ExcelDecision makers arereliant o...
In Summary:5 Things1. Stakeholder commitment2. Smart choices3. Data quality and architecture4. Visualization5. Change mana...
Thank you!
Upcoming SlideShare
Loading in …5
×

Business Discovery for Proactive & Agile Enterprises

448
-1

Published on

Business Discovery - User Driven Business Intelligence

Published in: Technology
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
448
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
0
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Business Discovery for Proactive & Agile Enterprises

  1. 1. Business Discovery – for proactive and agile enterprisesAbhijit VarmaDirector, Management ConsultingKPMG
  2. 2. About the SpeakerDirector KPMGTechnology TouristFatherMovie BuffChennai Super Kings
  3. 3. The 3 LEGGED CHICKENBefore youembark onyour BIJourneyRemember
  4. 4. More than 50 percent of businessintelligence projects fail to deliver theexpected benefitKPMG and Cambridge University Survey
  5. 5. 75% of organizations see MS Excel asthe prime way of supportingperformance managementOracle and Cranfield School of management
  6. 6. 70% of companies use BI metrics thataren’t reliable or statistically validHarvard Business Review
  7. 7. 15 dashboards200+reports600+ users2000+ pdf usersCEO, CFO, COO, HoFsSupport StaffPartners, DirectorsManagersAuditKGSTaxAdvisoryFinanceHuman ResourcesMarketsBy users By functionFinding the 3rd Leg
  8. 8. things we learntfrom our BI implementations
  9. 9. Jonathan Freedman andScott FraserImportant study on stakeholder managementFoot in the door
  10. 10. Tried to get a group of middleclass homeowners to put this sign in theirneatly manicured lawn as a public interest exercise:Compliance17 %The experiment
  11. 11. Tried again with another set of home ownersCompliance76 %The experiment
  12. 12. This time, the researchers first asked people if they were okay to put asmall card (with the same message) in their windows for a week, beforemaking the second request of putting the sign in their lawnPeople respond muchbetter to change whenthey have bought intothe change – howeversmall the start isWhat’s different
  13. 13. Think BigStart SmallDeliver Quickly1
  14. 14. Sheena IyengarChoices are important
  15. 15. Retail store Jam Section : was changedevery hour to study shopper behaviourRetail StoreWhen only 6 varieties of Jams weredisplayed, pickup rate is 75%When 24 varieties of Jams weredisplayed, pickup rate slowed to 40%
  16. 16. LessChoicesAre better2
  17. 17. •We spend more time reconciling data than analyzing it (33%).•No one is accountable for the quality of information (17%).•We cannot determine which spreadsheet has correct data (12%).•It takes weeks to close our books (11%).• We duplicate R&D efforts (6%)Ventana ResearchData Quality - Research
  18. 18. Data quality to be checkedthoroughly before embarking onthe BI journey
  19. 19. Beware your past sins !3
  20. 20. With Great Power Comes Great ResponsibilitySource : Sony Pictures
  21. 21. Visualize Data,Not Visualies4
  22. 22. Loss AversionLosses loom larger than gains
  23. 23. Loss AversionLosses loom larger than gains
  24. 24. Ownership BiasPeople value things more whenthey feel a sense of ownership
  25. 25. The scooter youborrow from yourfriend, once in awhile….What is more valuable to you….Your first scooterthat your dadbought you afteryou stood first inclass….
  26. 26. Harvard business review, June 2006Eager Sellers, Stony BuyersBy John T. Gourville
  27. 27. The “9X” Problem5
  28. 28. Excell IssueMS Excel + Cell phonesIn many organizations,Administrators relyheavily on MS ExcelDecision makers arereliant on cell phonesto call administratorsIt takes a large scale change management exercise togradually bring about this change
  29. 29. In Summary:5 Things1. Stakeholder commitment2. Smart choices3. Data quality and architecture4. Visualization5. Change management
  30. 30. Thank you!

×