The Pros and Cons of Data Silos When It Comes to Data Analysis and Management

February 22, 2016

The article on Informatica Blog titled Data Silos Are the Death of Analytics. Here’s the Fix explores the often overlooked need for a thorough data management vision and strategy at any competitive business. The article is plugging for an eBook guide to data analytics, but it does go into some detail on the early stages of streamlining the data management approach, summarized by the advice to avoid data silos. The article explains,

“It’s vital to pursue a data management architecture that works across any type of data, BI tool, or storage technology. If the move to add Hadoop or NoSQL demands entirely different tools to manage the data, you’re at risk of creating another silo…When you’ve got different tools for your traditional data warehouse versus your cloud setup, and therefore different skill sets to hire for, train for, and maintain, you’re looking at a real mess.”

The suggestions for streamlined processes and analysis certainly make sense, but the article does not defend the reasonable purposes of data silos, such as power, control, and secrecy. Nor do they consider that in some cases a firm is required to create data silos to comply with a government contract. But it is a nice thought: one big collection of data, one comprehensive data strategy. Maybe.

Chelsea Kerwin, February 22, 2016

Sponsored by, publisher of the CyberOSINT monograph


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