Equal Justice: A statement from Civis Analytics
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Bringing Big Data to Big Macs: Lessons from McDonald’s Successful Adoption of Data Science for Personalized Marketing

Background: Civis began a data technology partnership with McDonald’s North America Marketing and Data Science teams in late 2017, and — after a year and a half of keeping our heads down — we jointly presented some of our key learnings recently at Advertising Week in New York. David Galinsky, McDonald’s Director of Customer Data … Continued

Data science and the midterm elections: breaking down the results

Civis’s political data science team has gotten a number of questions since the midterm elections, so we wanted to share some of our insights more broadly given the widespread interest. There are three aspects of the results that stood out to us: (1) turnout, which dramatically exceeded that of an average midterm year, (2) change … Continued

Creative Focus: Reach the right people with the right message in any industry

Today, we’re excited to announce General Availability of Civis Creative Focus, our online message testing tool. Now, users in any industry can build better messaging, create more focused advertisements, and generate positive brand perception to improve advertising ROI. The Problem with Messaging Spend Today Whether you’re thinking of creative content or wording, motivating your current and prospective … Continued

Census 2020: One of our country’s most important marketing campaigns

The Census — a constitutionally mandated count of all residents in the United States — occurs only once every 10 years, so it’s not always top of mind. But, what many don’t realize is the importance of an accurate count. Census data is used to reapportion political representation for states and local areas; as a … Continued

Now Available on Civis Platform: New Ways to use Data with Postgres, PostGIS, and More

Happy New Year from the Civis Platform team! Today, we’re excited to announce native support for PostgreSQL on Civis Platform. Harnessing the power of Postgres, Platform users can now run high-performing, relational apps within their environment, as well as utilize geospatial data to create a more complete and rich view of customers, constituents, and communities. The … Continued

How often does it get *this* cold in Chicago? A statistical exploration with TensorFlow and open government data

This short post is going to talk about an interesting statistical distribution, the Gumbel distribution, and how to use TensorFlow and SciPy to fit that distribution on historical weather data provided by the government. It was really cold yesterday in Chicago. My weather app said -22 degrees Fahrenheit, and there was a disturbingly thick layer of frost … Continued

The Opportunity Project: A new model for civic tech

As part of our public sector work, Civis is always on the lookout for pro bono projects. Not only does this offer us a way to contribute to civic good, but we also get better at solving problems we don’t normally work on. A new model we really like for this kind of civic tech … Continued

A Journey into DevOps at Civis

According to LinkedIn, DevOps engineering positions were the most recruited position overall of 2018. Needless to say, there are tons of opportunities for those interested. To provide some insight into the world of DevOps, I wanted to share my path into this position, how DevOps Engineering works at Civis, and challenges I’ve met along the … Continued

D3 for Data Scientists, Part I: A re-usable template for combining R and D3 to build interactive visualizations

The path to D3 mastery is dark and full of terrors. D3 itself is a JavaScript (JS) library and on top of that, you’ll need a basic understanding of HTML (Hypertext Markup Language) and CSS (Cascading Style Sheets) to get the most out of it. If you’re a data scientist, chances are JavaScript, at best, ranks … Continued

Making Interactive Maps of Public Data in R

For a version of this post with interactive maps, check it out on GitHub. Introduction Oftentimes, when working with public data, there will be a geospatial component to the data — the locations of public libraries, for example, or which neighborhoods of a city are most bike-friendly. In this tutorial, we will walk through how to … Continued