Investment banks are pretty good at predicting what will matter most to our business’s bottom lines. So when the big investment banks – like Goldman Sachs and Deutsche Bank – are utilizing big data analytics regularly, as well as employing data leaders in their respective companies, we should probably pay attention. Read More
So it seems big data has come of age. Not a huge surprise to those of us who spend a big part of our lives researching and engaging with big data in some way, but still, it’s worth noting that big data is now being decisively noted as a worthy figure in modern day science and beyond. Read More
Failure can teach us a lot. From failure, we learn what didn’t work, and even what did, or what could have been approached slightly differently. From success, we also learn what’s worth our time and effort – and maybe where to invest more energy and focus the next go-round. Read More
Because it’s so big, big data can seem a bit overwhelming to organizations trying to pull useful information out of its voluminous substance. There are several ways to approach the process, however, that can help facilitate tangible results, and make especial sense when you’re first getting your feet wet with big data. Read More
From February 17th-20th, a big, BIG, big data event will be held in San Jose, California. Strata + Hadoop World’s tagline this year is “Make Data Work,” and it promises to bring even more valuable information to its participants than last year. 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 eighth and final video installment of our conversation around big data and data science, Brian discusses one thing he'd change about data science if he had a magic wand.
Last week at the National Retail Federation’s (NRF) BIG Show, a panel of retail CIO’s provided some insight into their areas of focus for the coming year.
A few of the priorities for retail CIO’s for the coming year are: Read More
joelshore — Gene, that's a really interesting point. "Big" can certainly intimidate. And that need not be. It's just more data, more kinds of data, more-granular data, all caught by casting a wider net. At its most-rudimentary level, there's nothing earth-shatteringly new. Of course, one needs to know what to...