There’s a long history of industries undergoing massive transformations fueled by the power of digital data. The moment has arrived for data to help reshape one of the largest industries of the digital age: marketing. 2016 has been a challenging year for the marketing community, with an eye-opening media transparency

Subscription box businesses are more popular than ever, with average site visits growing by 3,000% over the past three years and revenue skyrocketing (Loot Crate, a DataScience customer, was ranked No.1 on the Inc 5000 fastest growing companies list this year with a whopping 66,789% growth in revenue since 2013).

A few months ago, Airbnb ran a great post about how its trust and safety data scientists build machine learning models to protect users from fraud by predicting bad actors. As the piece illustrated using Game of Thrones, a highly nuanced model is required to determine something like whether someone

DataHero, the self-service Cloud BI provider, just took $6.1 million in a Series A funding round led by existing investor Foundry Group. In addition, it has introduced software industry veteran Ed Miller as its new CEO, and announced a partnership with inbound marketing and sales platform HubSpot. Miller boasts 25 years experience as a software

Data is the new black. Touted as a silver marketing bullet, data and scientific thinking will guide creativity in an evolving social and mobile universe. This is the rationale underlying the launch of OgilvyAmp, essentially an aggregation and rebranding of the data wonk’s buried among Ogilvy’s global offices. This is

STIHL Inc. had a problem. A big problem. With 2013 sales of roughly $3.7 billion, STIHL might be the envy of many. Founded in 1926, the company is the world’s largest manufacturer of chain saws and handheld power equipment. But it was in immediate danger of dramatically losing market share.

Accel Partners are putting their money behind a price optimization SAAS for the hospitality industry, which uses big data to automatically adjust the prices of hotel rooms according to factors such as weather, events, or fluctuations in web traffic. The hospitality industry is a challenging field for such ventures, but

Twitter has recently implemented a loop count for it’s micro-movie platform Vine. This new feature, based on data collected since April 3 of this year, gives users the possibility to measure the popularity of their videos. Rather than relying solely on ‘likes’, or a view count which could be inflated by

We met up with founders of GPredictive. GPredictive ´s mission is to provide customers with solutions that make decisions based upon data as easy as possible. http://www.youtube.com/watch?v=7aqZX8kFBXU Who are you and what are you doing? We are G-Predictive, a big data start-up. We want to give access to everyone to the