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How to Avoid Silo Analytics for Improved Credit Decisioning (Part 2)

Following last week’s blog post regarding silo analytics, we’re going to take it one step further this week.  As opposed to last week’s topic, which centered on using a single piece of (or incomplete) information to represent a holistic view of the consumer, silo analytics also refers to decentralized or fragmented process for analytics. In this example, each department within the same organization (such as marketing, credit risk, acquisitions and collections) often rebuilds its analytic infrastructure from data gathering to the creation of analytic attributes rather than partnering across divisions to improve the speed to implementation. For the second part of this two-part series, this week's blog post will take a deeper look at what institutions can do to avoid such a decentralized and fragmented process.
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