6. Cloud analytics isn't just for cloud data anymore.
In 2015, we'll start to see the first major use of cloud analytics—for on-premise data. Until now, cloud analytics have been primarily used for data in cloud apps. In 2015 companies will begin to choose the cloud when it makes sense for their business case, not only because the data is there.
7. Conversations with data replace static dashboards.
We are starting to see an age when data is accessible and interactive enough that it can become the backbone of a conversation. Now that people have flexible, speed-of-thought analytical tools, they can quickly analyse data, mash it up with other data and redesign it to create a new perspective. Meetings can become more engaging as people explore data together rather than plod through a set of slides and take down actions for later. And as a result of this collaboration, organisations will get more insight from their data.
8. Data and journalism complete their merge.
The arrival on the scene of Vox and continued ascendance of sites like fivethirtyeight.com will force more newsrooms to integrate data analytics into their online presence. Readerships will no longer be satisfied with just text. Interactive charts and guided stories becoming more vital for the mobile generation, and an important pre-election year in the US will accelerate people's taste for data. This trend will have a spillover effect from the public sphere to organisations, encouraging companies that are lagging in analytics to get with the times.
9. Mobile analytics mature.
Workers are spending less time at their desks. But that doesn't mean they should be less informed by data. In fact they have a greater need for data than ever before. Mobile solutions for many analytics emerged years ago and are finally reaching a level of maturity that means that mobile workers really can do light analysis from the road. And the emphasis on mobile has forced vendors to offer more natural and intuitive interfaces across the board.
10. Deeper analytics capabilities become accessible to non-experts.
Advances in graphical, intuitive modelling will mean that business users can begin to use predictive analytics without the need for extensive expert consultation or scripting. As self-service analytics becomes more mainstream, more advanced analytics such as basic forecasting will become a more common—and less painful—activity. Strong products will allow self-service modelling and add intuitive feedback that gives users enough information to understand the pitfalls of their models.
The bottom line is we expect to see more and more people—from students to businesspeople to journalists—make data a part of their lives. The way people interact with data is changing fast, and mostly for the better.
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