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Civis provide consumer analytics solutions and software built for a data-driven world. With a powerful combination of best-in-class data, cutting-edge science, and an interdisciplinary team of data scientists, engineers, and survey science experts, Civis partners with businesses and organizations across the country to help them gain a competitive advantage in how they identify, attract, and engage loyal customers and employees.
Civis Analytics
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Civis Analytics's Blog

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

Posted on March 21, 2019 at 12:00pm 0 Comments

By Peter Cooman

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 as your fourth language, after R, Python,…


Bringing Big Data to Big Macs: Lessons from McDonald’s Successful Adoption of Data Science for Personalized Marketing

Posted on March 6, 2019 at 8:00am 0 Comments

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.…


Prediction at Scale with scikit-learn and PySpark Pandas UDFs

Posted on October 24, 2018 at 10:44am 0 Comments

By Michael Heilman, Civis Analytics

scikit-learn is a wonderful tool for machine learning in Python, with great flexibility for implementing pipelines and running experiments (see,…


Creating a Culture that Works for Data Science and Engineering

Posted on October 22, 2018 at 1:00pm 0 Comments

Written by Allison Sullivan, PHD - Civis Analytics

Product management resources often focus on collaborating with engineering and design. However, products are increasingly powered by data science, and getting data science into production means teams need…


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