The automobile industry is going all out with big data, and as they seek ways to interpret and utilize that data, partnerships with other companies are naturally arising that stand to profit everyone (even the consumer). Read More
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
ron_callari — Data analyses it seems to me would have to use ‘thick data’ to balance the quantitative with the qualitative. It sometimes needs human perception and insights to get from point A to point B where qualitative informative materials, tools and/or techniques help the enterprise gather granular,...
ron_callari — Commented on this our your post Gene: “Big Data for Drivers,” but will reiterate here. It’s going to be up to the end users if they are okay with this technology over time, where there is either a way to opt out or just consider kicking it ‘old school’ by maintaining our older 20th Century...