Big data understanding drives spending

Data analytics

Big data understanding drives spending

Karl Flinders

The early successes of big data initiatives, along with a better understanding of its business benefits, will result in greater adoption this year, according to a report.

According to Gartner, 42% of IT leaders have already invested in big data technology or plan to do so in the next 12 months.

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After a few years of experimentation and early adopter successes, 2013 will be the year of larger-scale adoption of big data technologies,” said the Gartner report.

It stated that organisations have increased their understanding of how big data can transform business in novel ways. 

“The key questions have shifted to 'What are the strategies and skills required?' and 'How can we measure and ensure our return on investment?'," said Gartner analyst Doug Laney.

But he said, so far, most organisations have immature big data strategies, and few have thought through an enterprise approach.

The report said businesses turn to big data technology for two reasons: necessity and conviction. 

“Organisations are becoming aware that big data initiatives are critical because they have identified obvious or potential business opportunities that cannot be met with traditional data sources, technologies or practices. In addition, media hype is often backed with rousing use cases,” it read.

The Gartner report said IT and business leaders worry that they are behind competitors in launching their big data initiatives, and warned that it is “…challenging to cut through the hype when evaluating big data technologies, approaches and project alternatives".

By 2015, 20% of Global 1000 organisations will have established a strategic focus on "information infrastructure" equal to that of application management, according to Gartner.

Aneesh Gupta, European head of business intelligence at HCL, said the Gartner report supports the notion that more organisations are looking to invest in big data projects. 

“The excitement around big data quickly needs to be translated into business value to justify the not inconsiderable investment required,” he said.

“Big data projects typically fail because organisations try to do too much too soon, and don’t have the necessary underlying technological architecture or people to properly support it. 

Organisations need to learn to walk before they can run when it comes to big data, so they need to fully understand what is possible with big data and how it can help them achieve their corporate goals,” said Gupta.

 

 

 


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