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Smarter solution seeking NZ businesses risk losing sight of tech infrastructure

Smarter solution seeking NZ businesses risk losing sight of tech infrastructure

Organisations are at risk of losing sight of their technology infrastructure as they seek out smarter, faster and cheaper solutions in 2015, and beyond.

As a result, Rees says fast data is the way forward for organisations looking to drive real business outcomes from their data.

“It involves the processing of big data in real time to gain instant awareness and take action when it matters most,” he adds.

Mobile: size does matter

There will still be proliferation of mobile devices, just not small ones like phones.

“The nature of mobile information will continue in that people will not be tied to a desk but the device of choice will be a tablet or laptop rather than a phone,” Rees adds.

“While the phone will provide a taster, people will turn to tablets and laptops simply because the phones are too small for accessing and working in business applications.

Cloud

“The concept of cloud largely still means different things to different organisations and industries,” he adds.

However, Rees believes the granularity of exactly what organisations will get will become greater as organisations become smarter and demand definable benefits and functions from vendors and cloud providers, and as cloud as a concept moves beyond commoditisation to being truly defined.

Business intelligence (BI)

Rees predicts that organisations will start to hand the BI reigns to more employees from a range of departments - this will let businesses do more with their data and gain more insights.

“It also means that higher levels of security and training are needed for employees to ensure data doesn't end up in the wrong hands,” he adds.

“In addition, with real-time intelligence constantly evolving, BI systems can now automatically identify a business issue that needs to be addressed without having to analyse every single piece of big data.”

So much so that Rees believes businesses will “increasingly ignore data” as their systems become more intelligent.

“For example, financial institutions see millions of transactions each day but they only want to know about those that may pose a risk to business,” he concludes.


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