A Guide to Choosing the Best Data Analytics Structure for Your Financial Institution
The decision whether to integrate a centralized analytics structure or a departmental analytics structure has induced plenty of handwringing among financial institution leaders. After all, it is a decision which will completely alter the foundation of their organization’s data analytics program.
What You’ll Learn from This Whitepaper
In this whitepaper written for non-technical decision-makers who have data analytics as a strategic priority, we’ll objectively explore:
- The two main types of data analytics structures – centralized and decentralized/departmental
- An objective comparison of the pros and cons for each
- The questions you need to be asking your team and the data you need to be collecting as you navigate towards your decision
Why This Guide Matters for Credit Unions and Community Banks
As data analytics continues to transition to a “nice to have” to a “need to have” across the financial services industry, it’s imperative to arm yourself with the information needed to make an informed, intentional decision, rather than one that is rushed or based on anecdotal evidence. Download this straightforward, fact-based guide today!
