Data Science and Analytics
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Understand your data to drive your business
Propensity Models
Probability of specific outcomes.
Attribution
Understanding cause and effect.
Integration
Getting your data in and out and ordered.
We're Good With Numbers
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50
Years of Experience
220
Average IQ
40
Median IQ
95
Cups of Coffee per Day
About Us
John Chandler
John has worked at the forefront of marketing and data analysis since 1999. He has worked with Fortune 100 advertisers and scores of agencies, measuring the effectiveness of advertising and improving performance. At Data Insights, John has worked with prominent companies such as Tableau, eBay, LinkedIn, General Mills, Microsoft, the Sierra Club, Kraft, and a host of smaller clients. John regularly lectures to business school students at the undergraduate, MBA and Ph.D. level. As of 2015 John has joined the faculty at the University of Montana School of Business Administration as a Clinical Professor of Marketing, teaching core classes in the MS of Business Analytics which he helped create. Prior to this, John was Research Director at Microsoft Advertising and, before that, Principal Analyst at aQuantive, which was acquired by Microsoft in 2007 for $6.2B (and then later written off for a lot of that value). While at Atlas and Microsoft, John was a principal researcher on “Engagement Mapping”, the first multi-touch attribution product in marketing technology. He was the inventor of the GRP & Reach Forecaster and co-inventor of Optimization Advisor, the Microsoft Optimization tool. He has authored numerous Digital Marketing Insights, many of which can be found in the Microsoft Advertising research library: https://advertising.microsoft.com. John received a Ph.D. in Statistics in 2010 from the University of Montana with a focus on applying the tools of statistical learning to the challenges of large online datasets. As part of his dissertation he used Cox Proportional Hazard Models with Time-Varying Covariates to estimate the influence of marketing touchpoints on eventual conversions. He received his M.S. in Mathematics from the University of Washington focusing on Optimization Theory and a B.A. from Middlebury College focusing on Mathematics and Ultimate Frisbee.
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Ben Wood
Ben has worked at the cutting edge of computing, data analytics and digital marketing since 2000. In his current role as Head of Engineering at Data Insights, Ben designs and builds data science solutions for clients, large and small. Prior to his current position, Ben was a Group Program Manager at Microsoft Advertising, Director of Analytics at Redfin, and a Data Architect at Smartsheet. Ben received a B.S. in Physics in 1995 from the University of Washington.
Tom Trinter
Tom plays a number of different roles at Data Insights, from Data Engineering and Data Science, to client management and general business management. Prior to Working with Data Insights, Tom worked for 15 years in a fast-growing, financial advisory start-up where he wrote financial pricing models, lead software development teams, and created and led their software-as-a-service business. Tom has also worked as a mechanical engineer at General Electric Aircraft Engines and was an engineer officer in the US Army. Tom earned a BS in Mechanical Engineering at the US Military Academy at West Point, a MS in Mechanical Engineering from the University of Cincinnati, and an MBA from INSEAD in France.