1. Which of the following best characterizes your enterprise level data strategy?
2. How would you define your overall data integration maturity?
3. How will you rate compliance and data privacy in your organization?
4. How is data being stored within your organization?
5. Is there rejection of data requests from business users due to the non-availability of data? If yes, what percentage?
6. How would you describe the stability of your organization’s data landscape?
7. Does your enterprise landscape include structured, unstructured, and third-party data? If yes, how much of these data sets are available for real-time consumption?
8. How is the data accessed for business consumption across your enterprise?
9. How would you characterize real-time reporting capabilities in your organization?
10. How much of the enterprise data is considered redundant or devoid of any usage?
11. How do you describe the business perception of data usage/consumption in your organization?
12. Access to right information in the right form and at the right time is critical for enterprises to make intelligent business decisions. Which of the below options most accurately describes this process in your organization?
13. How do you capture the information needs of business units in your organization?
14. How will you characterize your analytical capabilities in the current technology landscape?
15. Are reports automated within your organization?
16. How would you describe your data quality protocols for the cloud/big data platform environment?
17. How frequently is the metadata managed and updated in your organization?
18. What kind of data governance model exists in your organization?
19. How would you rate the integrity of the data consumed by business users in your organization?
20. Do you have standards in place that drive best practices for generating business insights?
Your business currently lacks the capacity to fend off the disruptive elements of data. Act fast to seize advantages that can help you move on to the next stage.
You are moving in the right direction, albeit at a slow pace. Consider alternatives to expedite the data maturity process to enjoy a greater market advantage.
You’ve outpaced the laggards in your industry and are on higher ground. However, this is merely a temporary solution and requires more work to reap the benefits of your data and analytics programs.
You are one of the few in the industry who’s setting the bar for combating disruptive forces. Your existing data landscape needs to be iterated upon to ensure sustained improvement across all fronts.