Setting up data and incorporating into practices

first_img continue reading » So you’ve got your data collected and cleaned. You understand why data analytics are critical to your credit union. Now we move to the how.Execution is the critical next step. In a pilot program with six credit unions of similar size, the top performers dedicated resources and changed their practices to act on the insights. The mid-tier performers had a part-time approach, and the lowest performers blamed bad data modeling for not delivering.Many credit unions don’t know where to start when setting up a data analytics team. And it is difficult because it has to be a full court press; part-time efforts will not achieve the results you seek. The most successful credit unions followed these steps:Prioritize solutions – Get the business leaders together. Brainstorm, and then prioritize the ideas. ShareShareSharePrintMailGooglePinterestDiggRedditStumbleuponDeliciousBufferTumblrlast_img

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