Marketing can benefit greatly from a strong hunch that’s right-on. But it can also benefit from the wisdom of big data—which shows no bias.
So instead of deciding to work exclusively with big data to make marketing decisions or go with your gut—put them together instead. Read More
Is there a difference? According to a paper recently published by MIT Sloan Management Review titled “Getting Value From Your Data Scientists,” yes.
Data scientists, on the whole, are more entrepreneurial, by almost 30%. They see the bigger picture, and they communicate better about it. They understand not only the data science and how to find it, aggregate it, and analyze it, but the thought processes behind that exercise. Read More
Well, the votes and comments are in. The most important thing in hiring a data scientist is, according to the results, salary (31%)—but it’s closely followed by data modeling skills (23%). But according to your comments, the poll isn’t necessarily accurate. Read More
A recently published Harvard Business Review article titled “Stop Assuming Your Data Will Bring You Riches” discusses the fact that loads of big data alone are not “valuable”. Following are four big ideas from the piece: Read More
What’s the most important factor to consider when hiring a data scientist?”. I had a very hard time selecting an answer to this poll because I don’t know that there is a singular ‘most important factor’ to consider when looking at the data science field. Read More
Brian Dalessandro, is VP of Data Science at Dstillery, a marketing technology company that looks at the complete consumer journey — both digital and physical — to build custom audiences and activate across any device. In this video, Brian discusses the definition of data science.
The visualization of big data is a big deal—for obvious reasons. Big data is only as valuable to us as the “ah-has” we can pull out of its vastness. And the simplest way to view mined data is through visuals that can be manipulated, are available in real-time, and can be understood by the vast majority of humans. Read More
Consumer packaged goods companies are compiling massive amounts of data from every link in the supply chain. They are adding to their knowledge about consumers as they engage directly with them online through social media and in stores through mobile marketing efforts. They are teaming with retailers to have access to information such as point-of-sale and loyalty data. They connect with third-party data companies to gain insight into everything from what individuals are good customer acquisition targets to what is each retail channel’s contribution to sales. Read More