Semantic Technology Key To Mastering Data Growth, Analysis: Page 2 of 2

IT departments often use SQL-based systems for performing operations on data of a uniform type, but the analysis breaks down when it comes to unstructured data. Some enterprises have found the answer in NoSQL, but according to the report, that's not always effective because as the average size of enterprise data stores increases, the feasibility of restructuring and reloading each time the business requires a new view of its data will decrease.

As the fundamental way data is structured changes, semantic technology will be the solution. Semantic technology has matured in the last few years, and Read and Raiti said they expect it to become the new gold standard for housing enterprise data.

Analysis tools in general have matured in their capabilities while also dropping in price.

"The analysis tools to get this done have grown in capability and have also reduced in price. So there really is a confluence of mature technology producing large amounts of data in organizations where process improvements have become harder to find and the easier place to gain value is through data analysis," Raiti said.

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