Big Data Trends: 38 Top Experts on the Biggest Trends

You know it. As we speak, big data is transforming businesses and our very lives. But exactly how? What are the key trends in big data that are changing how we work? Which of these trends are your competitors leveraging to get an edge in the industry? We asked one question to 38 well known experts in big data, "What's one current trend in big data analytics that you are excited about?" Their answers will give you valuable insights into the world of big data.

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Industry Insights: Telecommunications and Data Analytics

For telecommunications companies, the customer is everything—and competition for those customers is fierce. Today’s telcos are battling for customers on multiple fronts, against traditional competitors, new market entrants and over-the-top (OTT) mobile app providers. Their best weapon? Their data. Telcos collect vast amounts of online and offline customer data that can help them improve customer acquisition, increase customer profitability and reduce customer churn—provided they know ho..

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The Big ‘Big Data’ Question: Hadoop or Spark?

The reality is, although the existence of the two Big Data frameworks is often pitched as a battle for dominance, that isn’t really the case. There is some crossover of function, but both are non-commercial products so it isn’t really “competition” as such, and the corporate entities which do make money from providing support and installation of these free-to-use systems will often offer both services, allowing the buyer to pick and choose which functionality they require fr..

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3 learnings that unfold the analytics team effectiveness in a month [pictured by: fraud detection in insurance]

Recently I had a chance to spend some time with the Director of the fraud detection department in a global insurance company who had been using his enormous budget to combat fraudsters for decades. It has always been a race for him – whenever he identifies and fills one hole, fraudsters find a new way to the vault. Operating in the world of star schema and multiple mature analytics tools, he dreamt about testing any hypothesis ad hoc.

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Accelerating Analysis with Parallelism

Stochastic analysis is used across many fields – from engineering to computational biology to applied statistics. What these fields have in common is that the computational requirements can be simply enormous. Until Intel ships their one Terahertz CPU (not likely to happen soon) solving these problems with parallelism is the only game in town. Analysts and researchers routinely use distributed computing clusters or general-purpose GPUs to parallelize and run problems that would otherwise take days ..

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Challenges of Big Data

Big Data is an area of research that is booming but still faces many challenges in leveraging the value that data have to offer. This article goes into these challenges in more detail. Behind the name of Big Data is hidden an astronomical amount of data produced anywhere, everywhere at any moment by men and machines to each action they perform together and separately. This production is exploding because 90% of the available data was created only in the last two years.

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Suvro Banerjee, Managing Director (Asia Pacific) tells us how Fuzzy Logix is changing the face of Big Data Analytics

Analytics has been an industry which is continuously seeing innovation whether it is in terms of data collection, data storage, or performing analytics on data. Fuzzy Logix, an IT product firm, has been one such organization that is contributing to change and bringing in innovation to the analytics industry.

Fuzzy Logix is a new-age in-database analytics solution that help..

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Why are retailers struggling with Big Data?

Through a special arrangement, what follows is a summary of an article from Retail Paradox, RSR Research’s weekly analysis on emerging issues facing retailers, presented here for discussion. When RSR recently asked retailers about the status of capabilities related to capturing and analyzing Big Data, we found that no capability was reported to have been “implemented” by up to 50 percent of retailers and less than a quarter claimed to be “satisfied” with what they had implem..

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