Credit union analytics: A case study in productivity & efficiency
If your organization is currently struggling with deduplicating data because of user input errors, you’re not alone. Many companies have issues with siloed data, inaccurate reporting, and are mostly reactive when it comes to data requests.
IT leaders that have implemented a robust data analytics program realize the following:
- Higher productivity and lower expenses
- Lower costs per transaction
- Improved customer retention and acquisition
- Enhanced risk management
This e-book highlights how one credit union with 700 employees went from a system that had over 6,000 defined (and inaccurate) reports down to a total of 220 which resulted in them having a clear, actionable plan to react to customer trends.