Cloud BI market is 'heating up,' says Ovum

Staff writer
07 Aug 2013
00:00

The global cloud business intelligence (BI) market is heating up as more and more software firms improving and expanding their cloud capabilities.

According to market analyst Ovum, Tableau, SAP, Roambi, and Microsoft are just a few examples of BI vendors that have improved and expanded their cloud capabilities recently.

“The cloud BI market is heating up; Tableau, SAP, Roambi, and Microsoft are just a few examples of BI vendors that have improved and expanded their cloud capabilities recently. Add to that a growing number of startups, such as GoodData, BIME and Birst, whose primary delivery model is cloud. It is clear that the cloud is becoming a more cost-effective delivery model for BI vendors to offer their software,” Fredrik Tunvall, analyst, software information management at Ovum, said.

The analyst further said, “Many BI vendors are increasingly betting on the ‘land and expand’ model as the way to push their products: a single user or department will adopt the product, champion it, and spread it via word of mouth within the organization.”

The benefit for enterprises is the ability to start with as little as one user and grow to thousands, allowing organizations to start smaller projects quickly and scale later as organizational needs change, which can be particular useful for SMBs or departments that can’t afford IT involvement, both in terms of time and money.

Business IT users across the organization can go online, sign up, and start analyzing their data within minutes rather than weeks.

However, the cloud model still has several question marks. The cloud does make sense as a SaaS for BI reporting and dashboarding applications that rely on a limited set of data and are fitted for specific roles or use cases, e.g. to monitor sales performance or track success of online marketing campaigns. But organizations that think the cloud provides quick and easy setup for any type of BI application might have to rethink.

“The reality is that most BI applications used today need customization and rely on data from multiple operational sources, which is never easy or quick to set up, be it in the cloud or on-premise,” Tunvall said.

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