How do you measure the success of your BI & Analytics Programs/Capabilities?

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Head of Data in Banking, 1,001 - 5,000 employees
We have a Data Scorecard which is a combination of Business KPIs (for example, the % contribution of D&A to Commercial Uplift) and Data Management KPIs.  All of the KPIs are linked to our five Data Strategy Goals and measure the shifts we want to achieve and / or the capabilities we want to develop.  For example, for our Data Democratization goal, we measure the number of return users to the self-service section of the D&A Portal and the frequency of use of the different SSBI apps.
Senior Data Scientist in Miscellaneous, 1,001 - 5,000 employees
Some suggestions:
*) Capability related:

-> Number of projects accepted and rejected due to existence / lack of capabilities and methodical background
-> Necessary time for understanding the business needs

-> Methodical variance of solutions (number of different BI & Analytics approaches applied, especially in the AI area)
*) Success related:
-> Number of projects / developments accepted by the Business Unit as digital extension to current product offers
-> Number of revoked BI / Analytics outcomes due to no use (after ensuring proper communication within the responsible people)
-> Contributions to risk mitigation or performance improvements by comparing before and after a BI & Analytics program been rolled-out

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Actually, the AWS will be the best because cloud fare so data can stored and access from anywhere. 
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