What’s next? 6 top trends for the BI industry in 2016

As the saying goes, change is the only constant. In the BI technology space, that rings especially true. But even with technology ever changing and data users’ demands morphing, we learned that some factors of our industry have remained status quo.

BI and analytics were still the “#1 investment priority for CIOs” in 2015, according to Gartner. Broader use of predictive analytics remains an aspirational goal for most companies. Suboptimal data quality continues to be problematic. The requirement for information governance is high, but maturity is lower than it needs to be. These are a few items that didn’t change in 2015.

But we are constantly looking ahead at where the industry is headed. Here are the top six trends for the BI industry in 2016.

Data consumers are transforming into information activists

Rather than just consuming information, users are now engaging in data prep and profiling. An obvious outcome of this information activism is how people are using visual data discovery to explore not just business data, but topics that interest them personally. As a result, visualisation is now becoming a form of self-expression.

By creating visual apps, users are expressing their views and learning about themselves through being actively engaged with the growing volumes of data. You can see this trend in the rise of the quantified-self movement at an individual level and data-driven journalism in the mass media, altering how people are using public data to understand how society works.

Governed data discovery becomes essential

Self-service BI is the new normal — but that doesn’t mean anarchy. With more data out there, users want to become more self-sufficient in creating their own analyses rather than relying on others, but this means they need to work in a managed data space. As such, governed data discovery is becoming a top priority. Within a framework of governance, users will focus their energy on getting insights from their analyses. They’re able to ask “why?” multiple times, rather than question whether the data is correct. When everyone is using the same information, more efficient, accurate decisions are made.

Big data moves beyond hype to pragmatism

In 2016 we’ll get past the big data hype, as more organisations start to apply some of the long standing practice of data analytics to data sources that use to fall outside of the BI space. Rather than treating new data sources as unfamiliar and novel, data usage is evolving into a more rich and complex landscape from various sources, enabling the use of practical, variant data use cases. After all, the maximum decision value is in the nodes where traditional BI data — say, financial transactions — and big data are melded together.

Data from external sources gives better context

Enabling users to see a broad range of factors contributing to their business is becoming more important than ever. With the ability to combine both internal and external data sources, users now have access to more context around their data, which ultimately leads to more insights and better decisions. Adding socio demographic or location data to analysis easily and quickly can help organisations de-risk some of their management choices.

More data storytelling equals more engagement

People routinely tell stories in work tasks. In fact, when making a proposal to a group, 86 percent almost always or often take time to “lay out what has happened previously,” and 80% almost always or often take time to “project forward or to predict possible outcomes.”

Storytelling not only personalises the task at hand, but it can also make it more memorable, impactful, and relevant for those that hear it. In 2016, there will no longer be an excuse to “take that offline.” People will use interactive storytelling to deliver information in a more compelling way that prompts them to take action in the moment, when the insight emerges.

A screen in the hand is worth two on the desk

Mobility is becoming more important than ever for data users. This means that enabling multi-device lensing of BI and analytics will gain importance. For instance, 85 percent of respondents from the U.S. and 77 percent of respondents from the rest of the world complete their objectives by using multiple devices simultaneously. Having unlimited access to their data can help users ask “why?” any time, and find the answer quickly. BI and visualisation solutions that don’t support users moving from device to device, often and at speed, will not deliver the kinds of experience that people want.