BI Insights

7 Business Intelligence Predictions For 2017

3 January, 2017

7 Business Intelligence Predictions For 2017

The last couple of years have seen major changes in the growth of data and how it is managed and utilised. In 2015, IBM estimated that 2.5 quintillion new bytes of data were generated each day, and throughout 2016, this data proliferation showed no sign of slowing down as more businesses undergo digital transformation to better respond to the rapidly changing industry demands.

Many companies have started to appoint a chief data officer to exclusively control, manage and govern this surge in data volume. How this data and content was stored is also a growing concern, causing more businesses to migrate to the cloud or hybrid solutions, as these provided numerous advantages in terms of facilitating collaboration, ease of access and unparalleled cost savings compared to on-premise storage.

Managing, curating and storing data will continue to be on the agenda, but as we look towards 2017, organisations that understand the growing potential of big data and the need to analyse it efficiently will be the ones that see the greatest success. Here are seven Business Intelligence strategies that will define the year ahead.

1. make adoption pervasive

You’ve likely thought of the impact BI software has on the data scientists at your company, but what about everyone else? It’s time we make the most of our BI investments by distributing them to every single person in an organisation and apply invisible governance to control access.

Your sales, marketing and human resources departments can all do their jobs better with the right analytics tools at their fingertips, whether they’re sharing competitor information in the cloud, collaborating on sales forecast dashboards to make the most of every potential deal or accessing employment data on their phone in between interviews.

2. Simplify systems and reduce costs

2017 is a great year to assess infrastructure and do some “spring cleaning” to reduce unnecessary costs and complexity while still properly maintaining systems. Businesses will desire all-in-one solutions which offer multiple capabilities.

According to the research firm IDC, organisations will spend $187 billion on big data and analytics technology by 2019, an increase of 50 per cent from the $122 billion invested in 2015. New, enterprise-ready technologies make it possible to pay less and do more with improved uptime and the flexibility to scale up and down as business needs change.

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