As with gold or oil, data has no intrinsic value, writes Webtrends CEO Alex Yoder. Big science, which bridges the gap between knowledge and insight, is where the real value is. As the likes of Google, Facebook, Adobe Systems, and IBM embrace big data with gusto, startups are also popping up with the promise to help companies discover what one of the most valuable assets in the world can accomplish for them. read more
The purpose of this blog is to understand the current and future trends in "data science"
Showing posts with label analytics. Show all posts
Showing posts with label analytics. Show all posts
Wednesday
Friday
Jan 27 : Travel
Big Data meets Online Travel (forbes.com)
Big Data and a high-speed analytics engine helped a travel agency deliver answers to would-be holiday makers fast, before they impatiently moved to another site. When a large German travel company asked the Cologne-based consultancy empulse for help with its online travel site, the group agreed. The consultants had, after all, worked with the postal service on electronic tracking and with electric utilities on using smart meters. So how hard could travel be?
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Monday
Jan 23 : Retail
By most measures, 2011 holiday sales saw solid gains. Overall retail sales rose 4.1%, according to the National Retail Federation. And while 2011 holiday sales didn’t achieve the 5.2% gains made during the 2010 holiday season, they still outpaced the 2.6% growth over the past decade. read more
Friday
Jan 20 : General Topic
Over the last several years, there has been a massive surge of interest in Big Data Analytics and the groundbreaking opportunities it provides for enterprise information management and decision making. Big Data Analytics is no longer a specialized solution for cutting-edge technology companies — it is evolving into a viable, cost-effective way to store and analyze large volumes of data across many industries. But how will this translate to adoption of these new technologies?
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Wednesday
Jan 18 : General Topic
Software vendors will tell you their analytics tools provide complete "solutions," but skip skilled statisticians for the heavy lifting at your own peril. The cost for your organization to acquire business analytics tools will likely be much higher than the cost of acquiring statistical talent. And the cost of incorrect analyses, and the resulting misguided decisions/directions, could be an even more significant cost to your company. read more
Friday
Jan 13 : General Topic
Data Science and BI differ in the foci of their investigations. Data Science is consumed with supporting the development of data products. BI, on the other hand, is all about measuring and managing business performance. BI has become obsessed with absolute answers using complete, precise, high-quality information, while data science often bludgeons solutions, settling for approximate responses from incomplete but massive data sets. read more
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