Data analytics.

Editor’s Note: This article is the continuation of an earlier article about how credit unions can prepare for the fourth industrial revolution – artificial Intelligence. In response to that article, readers asked how a credit union cleans up its data to prepare for the onset of AI and simply run a better credit union. This article helps credit union leaders get started on their path to data quality.

How does a credit union that is serious about improving its decision making begin? For most, data quality and hygiene are large problems – too large to solve with an all-encompassing strategy. Instead credit unions must resolve this problem incrementally, using principles and framework-like data clarity. Using this practical approach will put a credit union on the path to data governance that will allow it to make better decisions and serve its members far better than it can without the insights afforded by quality data.

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