The Decision Maker

Data generation continues to grow at an exponential rate throughout the credit union industry. In order to hear the signals through the noise, credit unions must establish a single version of the truth.

A common language forms a bond between humans and strengthens their ability to cooperate. Credit unions must agree on common semantics to establish powerful business analytics throughout the industry.

Language is very powerful tool. The ability for people to understand each other forms one of the strongest bonds known to man. The credit union industry has remained strong through the power of collaboration. However, new challenges have been mounting against the industry such as big banks and fintech competitors, stricter regulations and the increasing complexity of products and channels. Therefore, being on the “same page” is more important than ever. Currently, credit unions are speaking different languages and trying to collaborate. This results in miscommunication throughout the industry which depends on unity for strength. The ability to communicate easily and effectively is the foundation of credit union analytics.

Credit unions are often plagued by their data being locked up in the core processor and other standalone systems. Increasingly, they are adopting data warehouse solutions to free and integrate this data so cutting edge analytical tools can be employed to solve tough business problems.

However, a new problem then becomes apparent. Once business users realize long-imprisoned data is now liberated, they clamor for information. This puts pressure on the IT department to meet the growing demand for reporting and analytics.

If you are the one responsible for report writing at your credit union or have ever requested a report, your pain is not unheard.  The old way of reporting is broken, and it has been for years. Business intelligence failed to deliver on its promise.  IT departments are overloaded and users are frustrated.  Becoming an analytic driven organization is often unobtainable because the majority of the time is spent gathering and organizing the data.

Relying solely on a data warehouse, without an enterprise data management strategy, is a recipe for disaster.

Credit unions are beginning to invest heavily in big data and analytics.  When deciding how to allocate funds in this space, leaders are awash with buzzwords and conflicting advice.  One of the most common terms used within big data and analytics is: data warehouse.  Deciding whether to build or buy a data warehouse is an important strategic decision for credit unions.  Unfortunately, many decision-makers get lost in discussions about storage capacity, data processing, data visualization, etc.  All of these concepts are important.  However, data warehousing is not the solution.  It is a powerful tool in an enterprise data management (EDM) strategy. 

Credit unions are ramping up their adoption of Big Data & Analytics. The frustration with valuable business information being trapped in multiple data silos has boiled over.  Projects to integrate these disparate data sources into a single source of truth are being launched every day. Now, many credit unions have the ability to slice and dice their data and drill from individual transactions up to aggregated totals.