Beyond Traditional Business Intelligence

Today’s organizations manage vast amounts of data using state-of-the-art Big Data ecosystems. However these processes have limitations arising from the narrow set of pre-defined hypothesis that users have. Organizations today are starting to understand that the reports and business intelligence (BI) thrown up by the analysis is not enough. That is why an increasing number of CXOs are turning to the new science of Data Discovery - primarily to ask questions they did not even know existed. And this helps them define new problems and find new answers.

The underlying problem for most organizations making the journey from a traditional data warehousing (DW) and BI model to the more advanced platforms is the ‘time-to-implement’ - which is generally around 18 months. However, given the pace at which business context change, no one can afford to wait that long. Data Discovery platforms can change that by scrunching the 18 months into four to six weeks. Add to this the fact that capital investments are not significant and operating costs can be kept down using cloud infrastructure.

Adopting these platforms is a four step cycle:

Strategic Assessment
Analytics Design
Implementation
Value Realization

Beyond Traditional Business Intelligence

A typical Data Discovery platform becomes flexible when the assets developed to enable insights are technology agnostic-lending itself to instant portability in any technology landscape. Therefore, clients can use their existing technology landscape to build a Data Discovery ecosystem that is customized to their needs.

Users are already familiar with the manifold problems with existing analytics solutions. Some of them are knowledge of statistical tools; customization; and these solutions work with preconceived notions about the business, setting severe limitations on their efficacy. Data Discovery transcends these limitations. In a business environment where competition is increasingly growing tougher, customers are fickle and the nature of the business is constantly evolving, Data Discovery becomes essential to take those data based decisions to keep the business one step ahead of the game.

About the Author

Srinath Sridhar has over 8 years of experience as an Analytics Consultant post his MBA in Marketing. Other than leading various prestigious Analytics engagements, he has played roles of Thought Leadership, Presales and solution definition in the analytics space. In his current role, he is a Principal Consultant in the Analytics Consulting group within Analytics at Wipro Limited.

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