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Top 10 business intelligence trends for 2016

JY Pook, Vice President, APAC, Tableau | Jan. 5, 2016
JY Pook of Tableau expects to see an even deeper cultural shift in 2016 as data increasingly stands at the core of decision making, not just for businesses but also for the community at large.

This vendor-written piece has been edited by Executive Networks Media to eliminate product promotion, but readers should note it will likely favour the submitter's approach.

JY Pook of Tableau

We saw a year of significant transformation in the world of business intelligence in 2015. More organisations opened up to the idea of leveraging data to make discoveries and many began to put the power of data analytics into the hands of their rank-and-file employees.

In Singapore, the Smart Nation initiative took on momentum, and so did the Infocomm Media 2025, which is designed to bring about a new economy that is now more fueled by technology than ever before.

Business intelligence norms are evolving, leading to a cultural change at some workplaces. This change is driven not only by fast-moving technology, but also by new (and easier to learn) tools that can help us get more value out of our data.

In 2016, we expect to see an even deeper cultural shift in this regard as data will increasingly stand at the core of decision making, not just for businesses, but also for the community at large.

At the beginning of each year, we start a conversation about what we expect to see in the industry. That discussion drives our list of the top BI trends. The following is our list for 2016.

2 become 1: Governance and self-service analytics 
It used to be that data governance and self-service analytics are considered natural enemies to each other. You either have one or the other, never together. In 2016, we believe the war is over, and the cultural gap between business and technology is closing.

Earlier this year, Gartner noted that the rise of data discovery, access to multi-structured data, data preparation tools and smart capabilities will further democratise access to analytics and stress the need for governance. Gartner also predicted that by 2017, most business users and analysts in organisations will have access to self-service tools to prepare data for analysis.i

Despite the trend of data analytics, people are more likely to dig into their data when they have centralised, clean, and fast data sources, and when they know that someone (IT) is looking out for security and performance. As such, organizations are learning that data governance, when done right and supported by IT, can help nurture a culture of analytics and meet the needs of the business.

Visual analytics as the common language
Data is changing the conversation in boardrooms, the shop floor and beyond. People are visualising their data to explore questions, uncover insights, and share stories with both data experts and non-experts alike. As data usage grows, even more people will turn to data with both professional and personal questions.


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