Fulfilling CDFI Mandates With the Help of Data Analytics

By Preston Packer |

Aug

16

From the beginning, your credit union has dedicated itself to being a community development financial institution with a sincere focus on serving members with excellence. But did you know that diving deeper into data analytics could help you succeed in that mission? In addition, data analytics can enable you to grow your members and if interested, help you to acquire or maintain your CDFI certification, all while acquiring staff buy-in. Credit unions of all sizes can gain incredible insights from their data and use it to make wiser business decisions. Let's outline how you can use this technology to your advantage to save time, money, and effort.

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Drive Lending Opportunities With Data Analytics

By Preston Packer |

Aug

10

Today, data is at the core of every company, and it's readily available for use. This influx of data has forced financial institutions, including credit unions (CUs), to recognize data's importance and develop their own data strategies that consider its collection, storage, analysis, and utilization. Although data can impact everything from member experience to recruitment, it can also prompt lucrative lending opportunities. In this article, we'll be outlining how your CU can use data analytics to make wise lending decisions that benefit you and your valued members.

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Analytics: The Key to Lending Speed For Credit Unions

By Preston Packer |

Aug

03

Within the last few years, we've seen many financial institutions rely heavily on traditional data as they've been making various credit decisions. Recent tumultuous times have also caused businesses and consumers to lose valuable revenue. Meanwhile, existing data models that were originally intended for periodic declines (instead of a complete economic standstill) have proven not to be as relevant or foretelling. These dramatic changes in both credit and consumer behavior have caused lenders to seek new data and earlier warning signs. This is where analytics come in.

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