By indicating which buildings most needed their attention, big data analysis improved their efficiency fivefold.
He notes that big data and big data analysis is a growing application in the cloud.
Cloudera is aiming to bring that kind of big data analysis to non-Web companies.
Big Data analysis applications provide a highly scalable framework to deliver advisories that drive smarter day-to-day decisions.
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Big Data analysis applications are not another way for employees to ask questions, they are a means to provide employees with answers.
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When used properly big data analysis leads to a deeper understanding of both the customer and the business processes used to serve them.
After all, Big Data analysis is really just a fancy name for a strainer that concentrates value on the Internet, and I definitely need something like that.
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It is possible, I suppose, to launch Big Data analysis with no stories, and to be on the outlook for analytical results that support two apparently conflicting ones.
As companies are beginning to make bigger investments, and the availability of advanced technologies and a skilled workforce are ramping up, the era of Big Data and Big Data analysis is just getting started.
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When marketers apply big data analysis and digital attribution solutions and marry that up with the traditional insights gleaned across the organization and services, they can gain actionable insights about customers, both as aggregates and as individuals.
The answer is Big Data analysis applications.
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Aetna Health is using big data analysis to come up with personalized treatment plan that assesses patient risk factors and focuses on treating one or two things that will have the most impact (statistically speaking) on improving their health.
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Or, in other words, how do I help resolve the conflict my Big Data and analysis has generated?
The Leicester Tigers rugby club is using big-data analysis to assess the likelihood of injury to players and try to prevent it through personalized training programs.
By adopting a Big Data model, the analysis of massive data sets will create actionable information, eliminate blind spots where threats can lurk undetected and, ultimately, help to shrink our windows of vulnerability.
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Their innovations range from cloud development tools and Big Data security and analysis applications, to search engines for voice recordings, behavioral biometric solutions for fighting fraud, open source technologies, and personal financial management tools for young people.
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Big data has expanded from traditional closed enterprise data collection and analysis to become a big part of cloud-based services.
Make no mistake, business intelligence is big business, with data analysis the fastest growing sector in the BI market.
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Real-time analysis of Big Data is within the reach of almost any business model in any industry.
Through this type of analysis, big data actually becomes useful.
While such market information is something you can easily find for free, getting reliable data and analysis is big business.
My specialties include storage technologies applied to Big Data analytics (primary), data management, virtualization, and analysis of storage infrastructure acquisition alternatives.
Taking advantage of the crunching power of SiSense and the free offer to play, Dave Feinleib and the team at The Big Data Group has just released their analysis of the state of the venture capital industry.
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This could make search a key factor in brining big data to a very broad audience, giving direct access to data and putting analysis tools in the hands of decision-makers.
The growing acceptance of open-source software, especially when it is supported by a dedicated vendor, is another way by which the big data wave is different from previous surges of investment in the collection and analysis of data.
In this new business landscape where many activities take on the characteristics long associated only with financial trading, Revolution Analytics supplies tools for statistical analysis, a critical component of big data sometimes neglected by observers of the big data landscape.
The problem with looking for supporting analysis is that we can probably find it (we have Big Data and a myriad of analytical techniques).
In the past year or so, much of the talk about Big Data has obscured the fact that the real issue is enabling intelligent and instantaneous analysis to provide optimal insights for business decisions.
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CIOs could use this big opportunity to demonstrate leadership that is based on deep experience with and understanding of what data, big or small, is all about its management, its analysis, and its use in the service of innovation, the driving force of any enterprise.
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Deep, natural-language analysis could mean big things for business, health and anything where massive amounts of data need to be scoured smartly.
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