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Published: 14 Apr 2014
Published: 14 Apr 2014
A war is brewing in the business intelligence and analytics market. "We're about to see rapid adoption of BI and analytics in 2014 and going forward," said Gartner analyst Dan Sommer during his session at the Gartner BI and Analytics Summit. That's after years of slowed-down -- and even flat -- market share growth.
But while the business intelligence (BI) and analytics market is on the brink of experiencing a "best of times" moment, it's also in the midst of a "worst of times" battle. The markets are going through major change, Sommer said, pointing to traditional vendors that are pivoting to keep from being disrupted by younger, more nimble cohorts.
Consider IBM and its restructuring announcement from earlier this year, Sommer said. The $1 billion move combined layoffs and the sale of some divisions with investments in analytics, cognitive computing and the cloud. At MicroStrategy Inc., former COO and co-founder Sanju Bansal left in 2013 only to resurface at startup Hunch Analytics. SAP also signaled a new strategy in 2013, announcing a research-and-development shift away from traditional BI to "advanced analysis and agile visualization."
Sommer expects the clash between old BI and new BI to continue. The way he sees it, three tipping points will eventually push the BI and analytics practice out of silos and across the enterprise. In their wake, both the BI and analytics market and the role of IT role will look different.
Tipping point #1: Data discovery will overtake old BI
Data discovery vendors specialize in rich visualizations and self-service dashboards that rely on in-memory data repositories and enable employees to do quick data mashups -- and they have the attention of a lot of companies. "In 2014, half of new license spend in BI will be driven by data discovery requirements," Sommer said.
One vendor, in particular, is leading the charge. Tableau Software, which went public last year, grew "at upwards of 85% in 2013," Sommer said. "No other vendor is coming close to those growth rates."
Traditional vendors, however, aren't taking the rush to these new tools lying down. They're building and integrating data discovery tools into their stacks, Sommer said. Leading analytics vendor SAS Institute Inc., for example, is replacing its enterprise BI platform with its data discovery tool, Visual Analytics.
The clash between old BI and new BI goes beyond tools. While traditional companies continue to sell to IT departments, new BI vendors are selling directly to the business. They're developing "land and expand" stories by selling a few seats to the business and growing by word-of-mouth. The "IT vs. the business" sales approach isn't new, but Sommer believes the competition between old and new BI vendors has entered a new phase.
Tipping point #2: Cloud BI makes its move
"In 2014, half of organizations will consider cloud BI deployment," Sommer said. He believes this, in part, is due to data gravity, a term coined by Dave McCrory, CTO of Basho Technologies Inc. As data gathers mass, it creates a stronger gravitational pull and "attracts" applications and services to it rather than the other way around.
As Sommer put it, "Where their data sits is where the analysis will sit." Cloud BI has lagged in adoption because cloud-based data hasn't yet accumulated enough mass. But it will. As more and more data sources shift to the cloud and momentum around technologies such as Salesforce.com and Workday build, so too will the ecosystems that support those technologies. That doesn't mean all -- or even most -- of BI will move to the cloud. The on-premises data warehouse is still a cornerstone for businesses. "As long as that's the case, we think most of the analysis layer will be on-premises," Sommer said.
But the shift is under way if you follow the money, Sommer said, pointing to the millions of dollars venture capitalists recently invested in cloud BI startups. Birst Inc. raised $38 million, Looker raised $16 million, and GoodData Corp. raised $22 million during the second half of 2013. But none of those compare with Domo Inc. In February, the SaaS BI startup raised $125 million and is now valued at $825 million. All for a tool "no analyst has ever seen," Sommer said.
More mature vendors are making the move as well. Jaspersoft Corp. introduced utility-priced BI on Amazon Elastic MapReduce last fall, and Tableau is ramping up its cloud BI product Tableau Online.
Tipping point #3: The business will match IT dollar for dollar
"Half of all BI and analytics spend will be business-driven in 2014," Sommer said. For CIOs, that means being prepared to move away from the "stack-centric worldview" and welcoming new applications, if not new vendors.
Everyone is looking to get in on the action, Sommer said. Oracle, SAS and FICO are providing domain-specific applications for customers. Systems integrators, on the other hand, are "buying packaged IT to have quicker engagement with the customer," he said. Even data service providers such as The Nielsen Co. and Thomson Reuters want a seat at the business table.
It won't be long before analytics applications offered by data service providers will be indistinguishable from analytics applications offered by software vendors, Sommer said.
The result: BI and analytics become personal 'data conversations'
As these tipping points play out over the next couple of years, BI and analytics will infiltrate new corners of the business. Data will "become more personal, more granular" and easier to use. Employees will soon have access to data they need to do their jobs and data that reveals how they can do their jobs better, Sommer said.
Vendors are looking to capitalize on the redefined self-service trend. Several have plans to roll out new collaboration features. Storyboarding, or as Sommer referred to it, "PowerPoint for BI," is one example of this. It's "a major piece that all vendors are chasing right now," he said, referring to Yellowfin as "an early pioneer." QlikTech, Microsoft and Tableau are in the process of developing similar techniques, he said.
BI reports will give way to "data conversations." IBM's Watson Analytics relies on natural-language, question-answering technology to create opportunities for employees to actually talk to their data. Will it take off first in the consumer space, as so many other tech trends have? "We don't know yet, but it's one we're watching closely," Sommer said.