How do you measure the success of your BI & Analytics Programs/Capabilities?
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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User-friendly interface and ease of use34%
Scalability and ability to manage multiple devices and platforms31%
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Digital literacy and data analysis skills39%
Emotional intelligence and empathy skills47%
Creativity and innovation skills43%
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Adaptability and flexibility skills20%
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Quality Assurance in Software, 51 - 200 employees
Actually, the AWS will be the best because cloud fare so data can stored and access from anywhere.