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Using Rule Ensembles in Small Business Lending

May 24, 2017


Session Time and Date

Wednesday, May 24th from 3pm – 4pm CDT


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Presentation Description

Small businesses have a very difficult time getting access to the funding they need to help grow their businesses.  At Intuit, we are trying to make the process much easier for our small business customers.   One of the ways we do that is by helping them benefit from their data that they have collected in our accounting software.  With their permission, we utilize that data to predict when they may need financing, which lender(s) they are most likely to get approved by, and how likely they are to pay off the loan.

A rule ensemble offers the benefits of dealing easily with missing data, being “explainable”, and producing good results.  In this talk, I will describe what a rule ensemble is, and then I will explain how and why we use it for models in small business lending.


May 24, 2017


Primary Speaker First Name
Primary Speaker Last Name
Primary Speaker Bio
Diane Chang is a Principal Data Scientist at Intuit. During her tenure at Intuit, Diane has worked with the Consumer Group to perform in-depth behavioral analysis of the TurboTax online customers, and has explored the business impact of both online advertising spend and utilization of customer care services. Diane has worked with our Mint product to investigate how data science can be used to reduce risk. More recently she has been involved with the QuickBooks Financing team to use data to improve the likelihood of a QuickBooks small business obtaining financing.
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