Information Excellence Summit,February 25, 2012 Bangalorehttp://Informationexcellence.wordpress.com                       ...
Anindya Ghosh    • Anindya Ghosh is Practice head, Analytics at Wipro technologies    • Anindya comes with over 15 years o...
How should we look at Analytics?    • Is it a statistical tool?    • Is it a way to mine data?    • Is it a platform?    •...
Organizations are at varied stages of Analytics adoption      Bloomberg Business Week Survey 2011      Survey of 930 parti...
Does this sound all too familiar?           The Value Conundrum                                                 The Data P...
The 4 A’s in the Information Value Chain                              People                             Process        Ac...
Critical Success Factors for Adoption of Analytics     Executive Sponsorship    from the CIO / Business                   ...
Critical Success Factors for Adoption of Analytics     Executive Sponsorship    from the CIO / Business8                  ...
Executive Sponsorship from the CIO / Business        Culture of Analytics        • The CIO and Business roles are compleme...
Critical Success Factors for Adoption of Analytics                   Access to Relevant and                   Good Quality...
Access to Relevant and “Good” Quality Data     • Having access to the right       data types – integrated,       cleansed ...
Critical Success Factors for Adoption of Analytics                                                Staying Analytical12    ...
Staying Analytical         Analytics embedded in major business processes        • Requires executive sponsorships        ...
Critical Success Factors for Adoption of Analytics                                                              The Right ...
The Right Engagement Model         Enable Culture of Innovation        • Creation of knowledge processes to be outsourced ...
Anindya Ghosh                        Practice Head – Advanced Analytics                        (Healthcare, Life Sciences,...
Challenges & Key Success Factors for Adoption of Analytics17                     © 2012 WIPRO LTD | WWW.WIPRO.COM
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Information Excellence 2012 Spring Summit "DATA DYNAMICS"
Challenges & Approaches for Analytics Adoption
Practice head, Analytics, Wipro Technologies

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Information excellence 2012feb_wipro_anindya ghosh_approaches for analytics adoption

  1. 1. Information Excellence Summit,February 25, 2012 Bangalorehttp://Informationexcellence.wordpress.com Challenges & Key Success Factors for Adoption of Analytics Anindya Ghosh Practice Head – Advanced Analytics (Healthcare, Life Sciences, Insurance)1 © 2012 WIPRO LTD | WWW.WIPRO.COM
  2. 2. Anindya Ghosh • Anindya Ghosh is Practice head, Analytics at Wipro technologies • Anindya comes with over 15 years of experience spanning Analytics, Primary Research (Quantitative & Qualitative), Quality and Process Excellence. • He is a certified Six Sigma Black Belt. He has dealt extensively with business partners/clients across multiple locations and global teams in their endeavours towards Analytical Excellence. • His domain impacts include Healthcare, Pharmaceuticals, Insurance, FMCG, Automotive, Industrial and IT. Prior to Wipro, Anindya has worked with IBM (GM, IBM global process services), Grill research and American Express, among others. He is an Alumni of IT BHU and IIM Calcutta • Engineer-MBA with 15+ years of overall experience across the areas of Analytics / Quantitative Research and Quality (Process Excellence) • Worked for companies like IBM, American Express, Monitor Consulting group, IMRB, Research International, TNS in the past • Worked for clients across the industry landscape in the areas of Healthcare, Pharmaceuticals, Insurance, FMCG, Automotive, Industrial, IT, etc. like GSK, Highmark, Boston Scientific, Hero Honda, Nestle, etc. • Certified Six Sigma Black Belt working for American Express payments / treasury operations in the US2 © 2012 WIPRO LTD | WWW.WIPRO.COM
  3. 3. How should we look at Analytics? • Is it a statistical tool? • Is it a way to mine data? • Is it a platform? • Analytics is a mindset • Culture pervading paradigm of an organization • Treating data as an asset • Culmination of people, process, tools, technologies and data to create an environment of decision making based on insights generated from data3 © 2012 WIPRO LTD | WWW.WIPRO.COM
  4. 4. Organizations are at varied stages of Analytics adoption Bloomberg Business Week Survey 2011 Survey of 930 participants Have we reached our full potential?4 © 2012 WIPRO LTD | WWW.WIPRO.COM
  5. 5. Does this sound all too familiar? The Value Conundrum The Data Puzzle Can I justify the value Do I have Is my data of good vs. the investment to adequate data quality to ensure be made? Can I derive any that can lend meaningful insights value from the use itself to analysis? leveraging Analytics? of Analytics? What? Is my data integrated and in Should I focus on Business Intelligence ??? place? & Reporting or true Advanced Analytics? How can I use unstructured data in my business environment? Can I build an in-house Analytics Should I Should I take a team? leverage technology agnostic Analytics as a viewpoint or invest in Managed a specific Service? Technology? The How and What5 © 2012 WIPRO LTD | WWW.WIPRO.COM
  6. 6. The 4 A’s in the Information Value Chain People Process Acquisition Assurance Analysis Action Of Data Of Data Quality Using Data From Analytics Platform Have we been able to overcome the challenges along this continuum?6 © 2012 WIPRO LTD | WWW.WIPRO.COM
  7. 7. Critical Success Factors for Adoption of Analytics Executive Sponsorship from the CIO / Business Access to Relevant and Good Quality Data Staying Analytical The Right Engagement Model7 © 2012 WIPRO LTD | WWW.WIPRO.COM
  8. 8. Critical Success Factors for Adoption of Analytics Executive Sponsorship from the CIO / Business8 © 2012 WIPRO LTD | WWW.WIPRO.COM
  9. 9. Executive Sponsorship from the CIO / Business Culture of Analytics • The CIO and Business roles are complementary, sponsorship being required from both sides to make Analytics work • CIOs can help business executives understand the concept of analytical competition, and how it relates to the business strategy and position. Fostering Enterprise-wide Analytical Competency • Integrating Business and IT across different Functions by sponsoring and encouraging creation of data marts for each function / business area and analytics specific to that area Making the Right Data Available • Planning long term and enterprise-wide about how they’re going to capture, cleanse, manipulate, analyze and present data across the enterprise9 © 2012 WIPRO LTD | WWW.WIPRO.COM
  10. 10. Critical Success Factors for Adoption of Analytics Access to Relevant and Good Quality Data10 © 2012 WIPRO LTD | WWW.WIPRO.COM
  11. 11. Access to Relevant and “Good” Quality Data • Having access to the right data types – integrated, cleansed and made trust worthy • More and more companies are bringing together internal and external data as a complement to the traditional structured sources11 © 2012 WIPRO LTD | WWW.WIPRO.COM
  12. 12. Critical Success Factors for Adoption of Analytics Staying Analytical12 © 2012 WIPRO LTD | WWW.WIPRO.COM
  13. 13. Staying Analytical Analytics embedded in major business processes • Requires executive sponsorships • Business Buy in – Supportive / Proactive line managers Investment for the long term • Investing in Analytics and staying tuned • Even if the payback period is long • Acceptance of failure, rework Adaptive Analytics Approach • Regularly reviewing benefits and identifying new performance opportunities • Adapting with business condition/ market dynamics change13 © 2012 WIPRO LTD | WWW.WIPRO.COM
  14. 14. Critical Success Factors for Adoption of Analytics The Right Engagement Model14 © 2012 WIPRO LTD | WWW.WIPRO.COM
  15. 15. The Right Engagement Model Enable Culture of Innovation • Creation of knowledge processes to be outsourced brings in efficiencies, but can severely curb innovation. The right engagement model would need to create a separate innovation layer (e.g. a dedicated onsite team) and a process layer (e.g. an offshore team) Bring relevant people together • Domain, Statistical / BI and Data experts on both sides (Analytics service provider and consumer) need to be brought together. The time commitment of each role will vary throughout the length of an engagement Strong Governance • Lack of a strong governance mechanism has the potential to ensure grounding of an engagement that has taken off15 © 2012 WIPRO LTD | WWW.WIPRO.COM
  16. 16. Anindya Ghosh Practice Head – Advanced Analytics (Healthcare, Life Sciences, Insurance) anindya.ghosh1@wipro.com16 © 2012 WIPRO LTD | WWW.WIPRO.COM
  17. 17. Challenges & Key Success Factors for Adoption of Analytics17 © 2012 WIPRO LTD | WWW.WIPRO.COM
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