Sure, more data scientists would be great. But Scott Brave, of Baynote, says the better solution is to create analytics products that are so easy to use that you don’t even need a data scientist. Read more »
Although it’s still a work in progress, 0xdata thinks it has the answer to the problem of doing advanced statistical analysis at scale: Build on HDFS for scale, use the widely known R programming language and hide it all under a simple interface. Read more »
Forget the division between structured and unstructured data. For the benefits of the big data era to reach businesses bottom lines or to change behaviors, companies will have to figure out how to bring the results of Hadoop analytics to HR and middle managers. Read more »
The interesting story behind OkCupid, the online dating site recently acquired by Match.com, is OkTrends, its blog that analyzes the site’s wealth of data to shed light on our love lives. But the interesting story behind OkTrends is its use of R to power those analytics. Read more »
Norman Nie helped create SPSS, one of the first companies to take advantage of the data computers enabled researchers and businesses to track. He spoke with me about why we need to speak to our data and how that conversation can change the way we innovate. Read more »
