Analytics Maturity Model

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Every company is at a different stage in leveraging analytics to improve their operational efficiency and product offerings. In this presentation, you will learn an analytics maturity model that companies can use to determine how far they are from the most successful analytical companies.

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Analytics Maturity Model

  1. 1. Analytics Maturity Model John A. De Goes @jdegoes, john@precog.com
  2. 2. Agenda • Preamble • Dimension 1: Analytical Sophistication • Dimension 2: Analytical Productization • Dimension 3: Data Management • The Analytics Maturity Model • Limitations of the Model • Survey • Summary
  3. 3. Preamble Analytics Maturity Model Systematize analytics maturity
  4. 4. Analytical Sophistication• A0: Entity Analytics• A1: Descriptive Analytics• A2: Predictive Analytics• A3: Prescriptive Analytics
  5. 5. Insight Intelligence { { Prescriptive Analytics Descriptive Analytics Predictive Analytics Entity Analytics “How many “How many “Who is going to “How can I makecustomers do I widgets did I sell buy which widget, prospects buy have?” last month?” and when?” widgets?” Business Intelligence Business Analytics
  6. 6. Analytical Productization• P0: Standard Interactive Tools• P1: Internal Analytical Apps• P2: External Analytical Apps• P3: Data Products
  7. 7. Consumption Enablement Productization { { { Standard Analytical Tools External Analytical Apps Internal Analytical Apps Data Products• MicroStrategy • Field / POS apps • Embedded • Recommendations• Tableau • Interactive analytics • Personalizations• Cognos dashboards • Embedded • Automated• SAS reporting decision-making• R
  8. 8. Data Management• D0: Few Structured Sources• D1: Many Structured Sources• D2: Multi-Structured Sources• D3: Multi-Structured Sources + Metadata
  9. 9. Silos Data Integration Data Management { { { Multi-Structured Sources Multi-Structured Sources Many Structured Sources Few Structured Sources + Metadata• Financial • CRM • Log files • Provenance• Sales • Support • Twitter • Quality• Marketing • Multi-channel • Emails • Authorship • IT • Apps • Ownership • ERP • Clickstream • Confidence
  10. 10. AnalyticalSophistication A3 Leaders A2 A1 Followers A0 Analytical Productization P0 P1 P2 P3 Data Management D0 D1 D2 D2
  11. 11. Limitations of the ModelWhere you are Where you should be?
  12. 12. SurveyPlease take 5 - 10 minutes to fill out the followingsurvey:http://bit.ly/YHs9wm
  13. 13. Summary• Much written on analytics maturity but few attempts to systematize results• Analytics maturity is complicated but 3 dimensions stand out: • Analytical sophistication • Analytical productization • Data management• Model successfully identifies well-recognized analytical leaders as being more mature• Limitation: model is descriptive, not predictive or prescriptive• Need to collect much more data to build predictive / prescriptive model
  14. 14. Q&A John A. De Goes@jdegoes, john@precog.com

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