Customer Engagement Challenges Banks Face in Acquiring Customers in a Digital-first Era

Banks and customers
Nov142018

In my role at FICO I have the privilege of engaging in strategic planning discussions with senior banking executives across the globe. Most of these meetings as of late are similar: We are improving the customer on-boarding user experience, both through improved user interfaces, but also through improved analytics to bring everything we know about the customer to bear in our interaction…regardless of product line or channel. Right now we are working on our data lake. At which point, I nod. Then I ask: OK, so who is in charge of the customer journey that you are transforming? At a strategic level, banks understand the challenge they are facing and where their organizations need to go in order to thrive. At a tactical level, the decisions become much more complicated. Who owns the customer? Is that new data source worth the risk of potentially slowing down my origination process? How seriously... [Read More]

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Risk & Compliance How Analytics Developers Can Game Model Results

Data Modeling
Nov122018

“There are three kinds of lies: lies, damned lies, and statistics” – Attributed to Benjamin Disraeli, British PM (1874-1880) In assessing the predictive value of new scores or new data, significant weight is given to model performance measures.  Examples of these measures — which quantify the effectiveness of a predictive model in distinguishing between the outcomes being predicted — include the Gini coefficient, KS (Kolmogorov-Smirnoff statistic), and ROC Area. These measures are appealing because they allow a straightforward means of comparing the relative effectiveness of two or more models.  Think of them as scoring the scores — the score or data with the highest “score” looks like the best one to buy or use. Score and data vendors often structure their validations in a way that produces a more compelling case for their product. And sometimes their efforts fall into the grey area of gaming — producing misleading results by tweaking... [Read More]

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