The Decision Maker

The Analytics Talent Gap: Why the Middle Matters

Posted by Peter Keers, PMP on Oct 25, 2016 11:15:00 AM

 

There are many challenges to creating a data-driven credit union. One often cited issue is attracting and retaining qualified technical personnel. Hiring a Data Scientist is impossible for all but the very largest credit unions due to cost. Filling the position Data Architect is tough because of the heavy competition for qualified candidates. However, for many credit unions, having full-time employees with these skillsets is probably overkill anyway. There are many qualified vendors and consultants who can provide these services on either a project or retainer basis.

Read More

Topics: Enterprise Data Management, Leadership, Data Analytics

The Data Imperative: Credit Unions Need to Up Their Data Management Game

Posted by Peter Keers, PMP on Apr 7, 2016 12:00:00 PM

 datamanagement.jpg

“The banking sector, especially when focusing on aspects that involve core banking functions, has largely been behind in the adoption of modern computing and data technologies.”

In a January 2016 research study by the Filene Research Institute (The State of Data Technology in Credit Unions: The Sink‑or‑Swim Crossroad Ahead), Professor Jignesh M. Patel argues that credit unions are falling behind when it comes to using data to make strategic decisions.

The study was based on an online survey that was followed up by in-depth interviews with a sub-set of survey respondents. While the study as a whole was full of valuable insights, the results of the interviews were particularly meaningful for credit unions that want to do a better job of harnessing their data.

Read More

Topics: Enterprise Data Management, Data Analytics

The Data Warehouse is not Enough

Posted by Nate Wentzlaff on Oct 27, 2015 2:05:49 PM

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 warehouseDeciding 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. 

Read More

Topics: Semantic Layer, Enterprise Data Management, Analytic Data Model, Data Analytics