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Assess Your Data Driven Decision Making Approach


1. We have a formal framework for classifying and prioritizing analytical problems (e.g. looking at problems based on their frequency versus impact).  *This question is required.
2. We have the culture and mechanism in place to reinforce and reward contenious learning amongst our analytics professionals. *This question is required.
3. We have the culture and mechanism in place to reinforce and reward frequent experimentation amongst our analytics professionals. *This question is required.
4. When we hire analytical talent into the organization, we look for a variety of experiences  *This question is required.
5. Our company does a good job at using consistent analytical tools and methodologies, so as to avoid redundancy and fiefdoms. *This question is required.
6. The business functions in our company feel that they're afforded the flexibility to deploy analytics as they see fit. *This question is required.
7. We have in place a central governing body for analytics, to ensure broad alignment on data policies, infrastructure, tools, and methods.


*This question is required.
8. We have in place a central analytical function or COE to serve as steward and champion for methods, tools, artifacts, and frameworks that the business relies on. *This question is required.
9. We accept and expect volatility in our business, and as a result, are constantly prototyping and experimenting to deal with that volatility. *This question is required.
10. When we set out to solve a business problem, we associate that work with a set of desired outcomes. *This question is required.
11. When solving business problems, we measure the extent to which our data, findings, and insights actually lead to those measurable outcomes. *This question is required.
12. Upfront, we define all analytical problems using a single, consistent methodology. *This question is required.
13. Early in our problem solving work, we decompose and visualize the problem so that all parties to the problem solving process are on the same page. *This question is required.
14. Early in our problem solving work, we break problems into hypotheses to test, including identifying the data required to test those hypotheses. *This question is required.
15. When approaching a problem, we always look for first and second order relationships to other business problems. *This question is required.
16. We have a clear and defensible roadmap of analytical business problems to address in the coming year. *This question is required.
17. We have a clear view into where our analytics efforts are both sufficient and deficient in supporting the business’s needs. *This question is required.
18. We have some degree of visibility into how those problems on our analytical roadmap are interconnected. *This question is required.
19. When designing a solution to a problem, we spend ample time on addressing how those insights and analytics are going to be consumed by the business. *This question is required.
20. When reviewing insights and analytics with our internal customers, we have in place a feedback loop to inform how we modify or create analytics differently in the future. *This question is required.