Data visualisation will drive enterprise Big Data analytics usage

Today enterprises are investing in big data analytics solutions to aggregate and analyse data. But rather than the volume of data, enterprises are spending more time in identifying previously untapped data points. This would mean disparate data sets that are spread across multiple silos.

Gartner estimates that by 2019, 75% of analytics solutions will incorporate 10 or more exogenous data sources from second-party partners or third-party providers. The indication is that the information being analysed would be more complex than ever. Organisations would strive to add more variables and data sources in the race to achieve more refined indicators that would streamline decision making.

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