eBay has, over several years, developed a comprehensive approach to storing and analyzing the vast amount of customer interaction data generated by its online offerings. The result is an ability to draw detailed customer insights from a complete multi-year and multi-national store of web data. This complete picture of demonstrated customer actions and preferences allows eBay to optimize product development, draw insights from detailed customer behaviors, and improve the customer experience.
Jim Schreier's insight:
I hope this appears in printed form -- it appears to be very interesting.
In their best-selling 2013 book Big Data: A Revolution That Will Transform How We Live, Work and Think, authors Viktor Mayer-Schönberger and Kenneth Cukier selected Google Flu Trends (GFT) as the lede of chapter one.
In conversations with executives, many of the same misconceptions about big data projects — and what makes them successful — keep coming up. To help clear the air and foster a better understanding of what makes big data initiatives succeed, here...
A consortium of 14 civil-liberties and other advocacy groups have come up with a list of civil rights principles for the big-data era. The organizations – including the American Civil Liberties Union, NAACP, National Council of ...
Red Associates Founder and Partner Christian Madsbjerg discusses how businesses study human behaviour on Bloomberg Television's "In The Loop." (Source: Bloomberg) (What Big Data Doesn't Reveal About Consumers via @BloombergTV
Big Data: The challenge Real Business A topic receiving a lot of coverage in the media over the past year has been Big Data and all things data related, and yet we have not really seen the high levels of adoption that was expected.
The possibility of creating data products and services fueled by fine-grained behavioral information, and informed by behavioral science and choice architecture, offers a framework for innovations that enhance rather than diminish public trust.
Companies are collecting as much data as possible but with so much information at hand, many are feeling overwhelmed and unsure what the next steps need to be to make the most out of the data they already have as well as what to collect next.
“Big data” was undoubtedly the buzz word of 2013. As a result, you can bet on it that a lot of major companies are brainstorming on a big data strategy as we speak. I am afraid, though, that most of those big data strategies will focus on making piles of cash through the use of customer data.
How today’s organizations can still learn from the principles behind a reorg that happened over 150 years ago. When we take a step back from the details and look at the story from a high level perspective, we see how a new technology, the telegraph in that case, introduced a paradigm shift in organizational design.
It’s common to see surveys, polls, and reports showing that “most” organizations are embracing big data. For instance, a 2013 Gartner survey found that 64% of enterprises were deploying or planning big data projects, up from 58% the year before.
In the big data talent wars, most companies feel they’re losing. Marketing leaders are finding it difficult to acquire the right analytical talent. In the latest CMO Survey, only 3.4% senior marketers believe they have the right talent.
Everyone is always asking me how big our ontology is. How many nodes are in your ontology? How many edges do you have? Or the most common – how many terabytes of data do you have in your ontology? We live in a ...
As to be expected at any type of industry's event, executives at the National Retail Federation’s Big Show last week lapsed into lazy talk – bandying about vague notions such as “customer centric solutions,” while ticking off hot retail buzz terms...