7 Business Intelligence predictions for 2017

7 Business Intelligence predictions for 2017

7 Business Intelligence predictions for 2017

Tremendous amounts of data are generated every minute of every day, presenting equal amounts of possibilities and challenges. 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 BI 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. Your sales, marketing and human resources departments can all do their jobs better with the right analytics tools, 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.

Read Also:
Artificial Intelligence Powered by Crowdsourcing: The Future of Big Data and Humanitarian Action

2. Simplify systems and reduce costs 2017 is a great year to do some infrastructure “spring cleaning” to reduce unnecessary costs and complexity while still properly maintaining systems. 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.

3. Say goodbye to limits on data discovery Over the past few years, we’ve witnessed the consumerisation of IT, with many departments choosing to roll out their own point solutions for data discovery. The goal is a smart one: build compelling visualisations and reports to show managers what that department has achieved. But many organisations don’t have the proper pieces in place for a consistent view of their data. Others have been so successful with data discovery, they’ve realised their current solution has limits to how widely that data can be shared. This is the year to roll out a data discovery solution primed for success in the enterprise, not just for the short-term, but for decades to come.

Read Also:
Seeing Graphs in Smart Data Lakes

4. Choose a tool that does it all I’ve heard many organisations say that they use “all” tools for business intelligence and analytics.



Read Also:
Mind your analytics - or get ready for ethical hot water
Read Also:
Generating Values From Big Data Analytics for Your Business in 2017
Read Also:
Rome Wasn’t Built in a Day, Why Should Your Analytics?
Read Also:
The Reality of Data Management and the Future of Business Intelligence

Leave a Reply

Your email address will not be published. Required fields are marked *