UPDATED 02:25 EDT / JULY 08 2011

NEWS

Business Intelligence in the Cloud? A Not So Simple Service

There’s a flaw in the cloud-based business intelligence model. Too many vendors are offering the icing but not the cake.

That’s the argument made by Wayne Eckerson in a blog post: Expectations Vs Reality: Understanding the Dynamics of the Cloud BI Market.

Eckerson makes the point that complaints about security and data transfer rates are not the real reasons for the slow adoption of SaS business intelligence offerings.

The real issue is about complexity. Data takes time to get ready for proper analysis and business intelligence. It has to be managed:

Preparing data is hard, tedious work, but it’s the foundation of BI. Do it right, and you can ice your cake with sweet-tasting frosting. Do it wrong or not at all, and there is no cake to ice! Too many Cloud BI vendors have been peddling the icing and downplaying the need to bake the cake, and now they’re suffering. The same thing is happening with visual analysis tools, such as QlikView. They are great at handling simple data sets, but give them dirty data from complex operational systems and they fall apart. Someone, somewhere has to do (and pay for) the dirty work of preparing data or else everyone goes hungry.

Services Angle

What might be a better approach? Offering consulting services that provide value on top of the technology offering. Eckert:

If Cloud BI vendors want to deliver a complete BI solution that solves real business problems, they should shift from selling software services to professional services, and compete head-on with BI consultancies. Cloud BI vendors would have several advantages here:
— Cloud BI vendors can not only develop custom solutions, they can run them. And they can do so in a cost-effective (but not inexpensive) way due to the economies of scale of a virtualized, hosted infrastructure.
— They can also develop solutions faster than BI consultancies because they can leverage prebuilt software, models, and metrics built for other customers (although veteran consultancies will also have at least prebuilt models and metrics to contribute to a project.)

I haven’t come across any Cloud BI vendor that is taking this approach overtly, although many are doing so in practice. Perhaps the closest is SAP BusinessObjects OnDemand.

Eckert has a point. Self-service is the best reason to offer cloud-based services. Email is a prime example. It is the most basic of cloud-based services. It’s as simple as it gets. But business intelligence? That’s an offering that does require a certain level of sophistication and expertise. The data has to be managed before it is even used in a BI application. Without that preparation, the application loses its value and the customer loses interest.

 

 

 

 

 

 

 

 


A message from John Furrier, co-founder of SiliconANGLE:

Support our open free content by sharing and engaging with our content and community.

Join theCUBE Alumni Trust Network

Where Technology Leaders Connect, Share Intelligence & Create Opportunities

11.4k+  
CUBE Alumni Network
C-level and Technical
Domain Experts
15M+ 
theCUBE
Viewers
Connect with 11,413+ industry leaders from our network of tech and business leaders forming a unique trusted network effect.

SiliconANGLE Media is a recognized leader in digital media innovation serving innovative audiences and brands, bringing together cutting-edge technology, influential content, strategic insights and real-time audience engagement. As the parent company of SiliconANGLE, theCUBE Network, theCUBE Research, CUBE365, theCUBE AI and theCUBE SuperStudios — such as those established in Silicon Valley and the New York Stock Exchange (NYSE) — SiliconANGLE Media operates at the intersection of media, technology, and AI. .

Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a powerful ecosystem of industry-leading digital media brands, with a reach of 15+ million elite tech professionals. The company’s new, proprietary theCUBE AI Video cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.