What’s BI going to look like in 2015?

|December 16, 2014 0
Tableau Software's Ellie highlights trends like self-service analytics and social intelligence among others

MUMBAI, INDIA: As proud and passionate data geeks, we put our brains together each year to look forward at the trends for the next year. Our predictions for 2014 included data moving from specialists to the common man, the mainstreaming of cloud business intelligence, and the rise of NoSQL.

Now that 2015 is arriving, here are our top 10 predictions for the BI market.

1. Self-service analytics spawns new data governance practices


Just as the business intelligence landscape has transformed from static reporting to interactive, self-service data, so too must governance transform. Organizations will begin to investigate what governance means in a world of self-service analytics. New processes and best practices will emerge to keep data secure while letting business people get answers from that data.

2. Marketers and sellers turn social intelligence into smarter strategies

In 2014 we saw organizations begin to analyze social data in earnest. In 2015, the leading edge will start to take advantage of their capabilities. Tracking conversations at scale via social will let companies find out when a topic is starting to trend and what their customers are talking about. Social analytics will open the door to responsive product optimization.

3. Analytic competencies emerge across the organization

Today’s data analyst may be an operations manager, a supply chain executive or even a salesperson. New technologies that provide ease-of-use and browser-based analytics let people answer ad-hoc business questions. While there will still be Data Analysts and Data Scientists for the heavy lifting, sophisticated data analysis will trickle into day-to-day activities. Companies that recognize this as a strategic advantage will begin to support everyday analysts with data that’s easy to get and with tools and training to help them do what they’re doing.

4. Software user communities will be differentiators

The consumerization of IT is no longer a theoretical point, it’s a fact. People use products that they enjoy using, and analytics software is no different. They want to engage and learn with other users, inside and outside their company. Companies whose products inspire and empower are seeing their communities flourish.

5. Analytics solutions must integrate with other tools in order to become the standard

The last 10 years have seen a massive amount of innovation across the data space, resulting in mixed environments for everything from data storage to analytics to business applications. In 2015 we’ll see more organizations adopting systems like single-sign on, and less room for applications that don’t play well in a larger ecosystem. Rapid integration leveraging simple interfaces is going to become the standard.

5. 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

Now that people have flexible, speed-of-thought analytical tools, they can quickly analyze 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, organizations will get more insight from their data.

8. Data and journalism complete their merge.

Readerships will no longer be satisfied with just text. Interactive charts and guided stories becoming more vital for the mobile generation and this trend will have a spillover effect from the public sphere to organizations, encouraging companies that are lagging in analytics to get on with the changing 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 are finally reaching a level of maturity that means that mobile workers really can do light analysis from the road.

10. Deeper analytics capabilities become accessible to non-experts.

Advances in graphical, intuitive modeling 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.

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.

(Ellie Fields is Vice President, Product Marketing at Tableau Software. The views presented here are of the author and CyberMedia does not necessarily subscribe to them.)

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