Data Science Consulting for Smart Products and Effective Strategy

Clients We've Worked With
Problems We Solve

Case Study: Improving the Efficiency of Research at the World Bank

The Challenge

Polynumeral was hired by the World Bank to figure out how inexpensive sensor data could be used to improve poverty predictions.

Our Solution

Build a pipeline to make satellite photography crunchable by World Bank analysts. Satellite data is available monthly, and at a fraction of the cost of door-to-door estimates that are only updated once a decade.

Understand

The World Bank has proof that Big Data is useful 
for them.

Plan

As they figure out their roadmap for the next decade, the Bank has clear evidence that their efforts must include more investment in data science.

Problems We Solve

Case Study: Measuring Product Value with Big Data

The Challenge

A major online service provider hired Polynumeral to analyze referral traffic across the millions of blogs that they service.

Our Solution

Develop an analysis pulling together tens of thousands of gigabytes of data to provide a cross-cutting look at how people move around the web.

Savings

Standard Big Data tools would have cost tens of thousands of dollars in computer time to use; instead, Polynumeral’s final analysis ran using only hundreds of dollars and in only a few days.

Measure

To understand the complex relationships, Polynumeral designed measurements to quantify and relate how users move around the Web.

Understand

Our client now has clear evidence that their product adds value to their customer base. Their marketing materials feature our result prominently. Their product design decisions have become more coherent as well, since the value of their product has become more evident.

 

Problems We Solve

Case Study: Making a Smart Device Even Smarter

The Challenge

We worked with a consumer health company that produces a wearable device. Their product seemed to work well in testing but took too long to get a good result out in the real world.

Our Solution

Reverse engineer the algorithm and testing process to locate the unexpected slowdown. 

Eureka

After careful analysis, it turned out that the problem was not with the transition out of the lab, but with the underlying measurements of success.

Speed

We rewrote the company’s algorithm from scratch. Now results return in seconds.

Happiness

Complaints dropped, and positive reviews of the connected app rose on both iOS and Android.

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Newsela

Newsela needed a data-driven strategy for moving their business forward. They hired us to figure out how to use their data to describe and achieve their goals ...
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Academia.edu

Academia.edu thought their product was having a real impact for academics who used it. They hired us to figure out to find out if was true...
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