Australian businesses to ramp up analytics investments in 2018: IDC

Australian analytics spend

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Australian businesses will give investment in analytics a boost in 2018 in a bid to better use data that has been captured and maintained, according to IDC’s 2017 Asia-Pacific Software Survey.

Big data analytics was the stand-out area for businesses to focus over the next 12-24 months, according to the Australian decision-makers surveyed.

“41 per cent of responding organisations in Australia have deployed some sort of big data analytics initiatives, that’s the current state. Look at the next 12 months, 50 per cent of the respondents say they will increase their investment on big data analytics,” said John Feng, senior market analyst, IDC.

“To add in a bit of context, cloud deployment models, which is another hot topic among IT executives, has a rate of 48 per cent that will increase investment on it. On the top spot, we have infrastructure and security software, on which 53 per cent will increase investment in the next 12 months. Not surprising for the relatively more matured Australian market, where compliance and governance cannot be stressed enough.”

In recent years, a number of factors have enabled the collection of an enormous amount of data in almost all aspects of business and production activities, including the proliferation of data-generating sensors, the declining unit price of storage, the interconnectivity of endpoints, the adoption of cloud, and the development of the digital economy.

Demand for big data analytics is now being driven by the increasing involvement of line-of-business in technology adoption to derive deeper insights into everyday operations, the development of edge computing, and the flexibility of the cloud consumption model.

“To take advantage of the demand for data analytics, vendors must ensure the data generated is ready for aggregated analysis and automatic processing. From a solution point of view, capability to integrate with multiple data sources and perform real-time, reiterative business-specific analytics that feeds back to the production process will be very appealing to end users,” Feng said.

“Customers will be demanding analytics capabilities that can provide a simple, flexible, unified view of multiple data sources that ultimately lead to measurable business outcomes.”

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