Analytics Maturity Model
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This document introduces an analytics maturity model that assesses maturity across 3 dimensions: analytical sophistication, analytical productization, and data management. It presents levels within each dimension from less mature to more mature. The model identifies leaders as having high levels across all dimensions. It acknowledges limitations in only being descriptive and aims to collect more data to build a predictive and prescriptive model. A survey is provided to help assess an organization's maturity according to this model.
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Analytics Maturity Model
- 1. Analytics Maturity Model John A. De Goes @jdegoes, john@precog.com
- 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. Preamble Analytics Maturity Model Systematize analytics maturity
- 4. Analytical Sophistication • A0: Entity Analytics • A1: Descriptive Analytics • A2: Predictive Analytics • A3: Prescriptive Analytics
- 5. Insight Intelligence { { Prescriptive Analytics Descriptive Analytics Predictive Analytics Entity Analytics “How many “How many “Who is going to “How can I make customers do I widgets did I sell buy which widget, prospects buy have?” last month?” and when?” widgets?” Business Intelligence Business Analytics
- 6. Analytical Productization • P0: Standard Interactive Tools • P1: Internal Analytical Apps • P2: External Analytical Apps • P3: Data Products
- 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. Data Management • D0: Few Structured Sources • D1: Many Structured Sources • D2: Multi-Structured Sources • D3: Multi-Structured Sources + Metadata
- 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. Analytical Sophistication A3 Leaders A2 A1 Followers A0 Analytical Productization P0 P1 P2 P3 Data Management D0 D1 D2 D2
- 11. Limitations of the Model Where you are Where you should be?
- 12. Survey Please take 5 - 10 minutes to fill out the following survey: http://bit.ly/YHs9wm
- 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. Q&A John A. De Goes @jdegoes, john@precog.com