Discover PerformanceHP Software's community for IT leaders // April 2014
How Big Data analytics drives success and cuts costs of experimentation
The marketplace has sped up, and as the enterprise responds, data-led experimentation is key to profiting on success, and cutting costly losses, faster.Scientific approach
Big Data puts NASCAR in pole position
Social media sentiment is helping NASCAR—and its partners—better build the brand and engage with customers.Start your engines
Putting real analytics into the hands of the business
Until you master all of your data, you don’t know what you’re missing. Take a peek into how HP Labs will shape the future of analytics.Analytics for all
Semistructured data: Master the information continuum
Vertica VP Chris Selland explains that “Big Data” is a continuum, not just the black-and-white of structured and unstructured data. Learn how your competitive edge will come from analytics efforts that connect the full range, not merely the extremes.Watch now
Most read articles
Welcome to a new reality of split-second decisions and marketing by the numbers.
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IT Operations 20/20
How can you achieve the data center of the future?
What the workforce of 2020 can expect from IT, and what IT can expect from the workforce.
Preparing today for tomorrow’s threats.
Data Center 20/20
The innovation and revenue engine of the enterprise.
HP Software’s Paul Muller hosts a weekly video digging into the hottest IT issues. Check out the latest episode.
Speed, reliability, and quality are essential, but hard to balance. Get better insight into cloud resourcing and consumption.
Network with your peers and our experts and partners to learn how to maximize your Big Data analytics outcomes.
Big Data index
Percentage of businesses implementing or planning to implement Big Data projects in 2014.1
Percentage of organizations planning to hire data scientists in the next 12–18 months.1
Percentage of enterprises that expect they will need to manage more than 1 petabyte of data by late 2014.1
Q: Has Big Data gone mainstream?
A: I’ve always been a big fan of the technology adoption lifecycle, which talks about leaders and laggards. Big Data is certainly past the early adopter phase at this point in time, if you have any familiarity with that model, as popularized by Geoffrey Moore in Crossing the Chasm. […] It’s starting to get recognized as a competitiveness issue. It’s starting to get recognized not just as a technology issue, but a business issue that’s about how effective we are vis-à-vis our competitors.
— Chris Selland, HP Vertica VP Marketing & Business Development, “Is analytics for everyone? Why do the data scientists have all the fun? ” in the Discover Performance Weekly video