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5 areas to watch in big data in 2015

Bruce Dahlgren senior vice president, Enterprise Services and Managing Director, Asia Pacific and Japan, HP | Jan. 20, 2015
The five key areas for organizations to address to ensure success in 2015 are democratization of big data, the growth of unstructured data, predictive analytics as the norm, the impact of big data on IT operations, and empowering big data for everyone.

Big data analytics will also play a role in identifying IT security threats, which are constantly growing and evolving. It will also deliver connected intelligence to organisations in Asia Pacific across IT operations domains, generating insights which drive innovation and critical business advantage. This process will reinvigorate the traditional service desk, and the transformation to a big data service desk will bring business capabilities to deliver service anywhere.

Big data for everyone

Today's universities can't seem to train data scientists fast enough for CIOs. Many in the industry view data scientists - those individuals with engineering and business skills, as well as the statistical savviness - as the key to analysing and deriving value from the big data companies generate.

But the current lack of so-called "big data talent" should not hold businesses up in terms of launching big data initiatives. Rather, the key will be empowering business analysts of today with tools they already know. In fact, the idea of a "data scientist" may very well be played out in a couple of years, and the "data savvy business person" will likely emerge as the new rock star.

However, it's important to note if a company assigns big data to its existing big BI teams, they're almost guaranteed to fail. The tech, thinking and approaches that lead to success at BI almost guarantee failure at a big data. It takes a whole new approach.

In addition, the availability of data analytics in the cloud presents a huge opportunity for developers, and we expect the data developer community to increasingly emerge as a hotbed of innovation. Cloud-based big data services represent decades of significant intellectual property around managing, accessing and analysing a wide range of data, including unstructured information that developers can now use like they have used Amazon Web Services or open source systems.

Developers have just begun to exploit the value of big data, especially unstructured data, and this trend will only accelerate in the next few years.

 

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