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Tableau: Top 10 Trends for BI in 2015

Ellie Fields, Vice President, Product Marketing, Tableau Software | Dec. 8, 2014
Predictions for last year included data moving from specialists to the everyman, the mainstreaming of cloud business intelligence, and the rise of NoSQL. What will be trending in 2015?

Predictions for 2014 included data moving from specialists to the everyman, the mainstreaming of cloud business intelligence, and the rise of NoSQL.

What will be trending in 2015? Read on for our top 10 predictions for the BI market in 2015.

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. Simple approaches like locking down all enterprise data won't work any longer—nor will the approach of doing away with any process at all. Organisations 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 organisations begin to analyse 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 optimisation. And as a result, the social advantage of the leaders will make their competitors feel that these companies have an eerie ability to see into the future.

3. Analytic competencies emerge across the organisation.
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 recognise this as a strategic advantage will begin to support everyday analysts with data that's easy to get and tools and training to help them do what they're doing.

4. Software user communities will be differentiators.
The consumerisation of IT is no longer theoretical; 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. And prospective customers will also look to the health and happiness of product communities as important proof points in crowded marketplaces.

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. We won't see a return to the age of monolithic systems. However, organisations are losing patience with multiple logins and clunky processes to move and manage data. In 2015 we'll see more organisations adopting systems like single-sign on, and less room for applications that don't play well in a larger ecosystem. People will no longer accept manual integration and data quality efforts. Rapid integration leveraging simple interfaces is going to become the standard.


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