While the field of data science is not tied directly to Big Data, advances in one tends to produce advances in the other. Big Data increases our ability to harvest and process data, while data science allows us to dig into it for insights.
The Russian government, the State Duma, has passed a bill in both houses which mandates foreign web firms must store all data on Russian citizens within Russia. Companies have been given until 2016 to comply, and a failure to do so will see the sites blocked in Russia. One of
In a recent survey conducted by Paradigm4, a computational database company, it was revealed that big data was proving to be a challenge for data scientists – but not because of the amount, or volume, of data being produced, but rather the variety and diverse types of data these professionals
Max Kanaskar is an Associate for Strategy& (formerly Booz & Company). He has extensive experience in IT capability development and data management, and has advised companies in transformational data management programs, including data strategy, management and governance. He’s a regular commentator on big data and technology. His views can be found
When the Oakland Athletics first pioneered their “Moneyball” approach to baseball, they received a fair amount of scepticism. Today, however, using data to help you assemble the right team and get to know your opponents has become an ubiquitous approach across many different sports. We’ve reported on its use in
Follow @DataconomyMedia The Financial Industry Regulatory Authority, a Wall Street authority responsible for overseeing brokerage firms, have announced they’re in the process of moving all their data to the cloud. It is hoped that the move will save the agency $10 million to $20 million a year, as well as
Follow @DataconomyMedia Recommender systems are among the most fun and profitable applications of data science in the big data world. Training data (corresponding to the historical search, browse, purchase, and customer feedback patterns of your customers) can be converted into golden opportunities for ROI (i.e., Return On Innovation and Investment).
We recently reported on how big data is revolutionising recruitment by aggregating job applications and sifting out the best talent: now, Entelo are harnessing this kind of technology to boost diversity in the recruitment process. Look into the offices of any given tech company right now, you will more than
Follow @DataconomyMedia We caught up with Suresh Shankar the Founder of Crayon Data. Suresh is serial entrepreneur with over 20 years of consulting and marketing experience, having fuelled growth for companies such as: Citibank, ABN AMRO, Standard Chartered, HP, Nokia, Motorola, Unilever, Pond’s, Pepsi and McDonald’s. Before founding Crayon, Suresh was
Viktor Mayer-Schonberger, co-author of Big Data: A Revolution That Will Transform How We Live, Work, and Think, has been speaking in Taipei recently about the possibilities of Big Data for Taiwan’s small and medium enterprises. He highlighted that one of the main reasons Taiwan’s SMEs ought to be capitalising on
Mode, a startup marketing itself as the “Github for data analysis”, has opened a beta version of its service to the public, as well as securing $2 million in venture capital. Formation8 led the funding round, with participation from Panorama Pointand Goldcrest as well as individual investors, including Reddit founder