Accelerate business insights with data virtualization

released: 12/30/2016

Business intelligence has never been known to be quick to deliver or easy to handle. Fortunately, virtualization of the database layer opens up ingenious solutions for cumbersome problems that haunted BI professionals for years.
Projects in Business Intelligence are notorious for being complex and costly. The return on investment is often sketchy at best, that’s why many organizations view BI as being “dead”, comparable how they also perceive ERP as belonging to the past.
 
But there’s hope. Data virtualization is a relatively new technology, developed with the shortcomings of legacy BI in mind. No longer do BI projects require months of analysis to develop the ultimate data model that can answer all questions, now and in the future. Data virtualization allows organizations to have an operational BI environment that can answer the business questions that are relevant NOW, completed in a few weeks. The secret of the technology is that it creates a virtual layer on top of heterogeneous databases and to present it as one. It enables developers to do data modeling on the fly and supports them in focusing on the questions that need answers.
 
The big advantage of taking this new approach is that an admin is able to add and remove new data sources to the BI environment instantaneously, without disrupting workflows and data in use. Smart data caching using in-memory representations, creates opportunities for self-service BI applications.
 
Finally, complexity with BI projects becomes manageable. The monolithic endeavor that was traditionally too inflexible to handle follow-up questions with fast turn-around times has changed into an attractive, interactive and iterative proposition which puts all the data of an organization in one spot, ready to be used to answer the questions that matter NOW. 
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