Business Data Miners

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Business Data Miners is a data analytics firm located in Weston, Mass. Founded in 2009, Business Data Miners' small team of less than 5 employees specializes in BI & big data consulting. Business Data Miners works with clients in the arts, entertainment & music, financial services, advertising & marketing and telecommunications industries. 

Client Insights

Industry Expertise

Financial services

55%

Advertising & marketing

10%

Arts, entertainment & music

10%

Other industries

10%

Telecommunications

10%

Medical

5%

Client Size Distribution

Small Business (<$10M) 10%

Midmarket ($10M - $1B) 45%

Enterprise (>$1B) 45%

Common Project Size

$50K-$199K 2 projects

$10K-$49K 1 project

Clients

  • Sprint Nextel

Highlights from Recent Projects

Overall Rating

4.7
3 Reviews

Business Data Miners were contracted by an auto finance company to create a custom scorecard for tracking subprime auto loans. The scorecard utilized predictive analytics to evaluate the risk and performance of new applications. The algorithm developed by Business Data Miners was highly effective, providing a significant competitive advantage and saving the company money by reducing the number of bad loans. The project was in the low six figures.

For a large telecommunications carrier in the U.S., Business Data Miners developed a custom predictive model to evaluate prospective customer financing risk. The model was designed to provide the most accurate evaluation based on credit bureau score and basic demographic information. The project, completed in 2001, had a significant revenue impact. Every transaction they worked on involved a few cents add-on per transaction, with over one million transactions being conducted monthly.

Business Data Miners also worked with ezCater, a corporate food service provider marketplace, to address their data analysis capacity constraints. The team created a machine learning engine that predicted the outcomes of various business decisions and refined its processes as it received more data. They also analyzed search data for the company. The project, which ran from May to July 2017, cost between $25,000 and $50,000.

Timeliness

4.0

Service Excellence

4.8

Value

4.7

Would Recommend

5.0