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How to use visualisation tools to derive data intelligence from unstructured data

Steve Kearns, director of product management at DataGravity | Sept. 20, 2013
Visualisation tools can support data from multiple sources and join or overlay the results, providing companies with a way to extract meaningful business intelligence from unstructured data.

When looking for visualization tools, note that the ability to support data from multiple sources and join or overlay the results is a crucial feature. This will keep the content in context and anchor the results. Based on the stock example above, imagine the value of combining related unstructured information news articles over the same time period.

Imagine plotting news volume and key topics and concepts. It would then be much easier to see what happened by looking at the structured data, and gain insight into why it happened by looking at the related unstructured data. This exploration can work in both directions; I could look for documents describing corporate acquisitions and see which direction the stock price of the acquiring organization tends to go.Small and medium-sized businesses have large data challenges. These companies see their data usage swelling and they see the intelligence in that data remaining untapped. In order to derive big value from big data, companies need to bridge silos and visualize information, so they can answer difficult questions.

With limited resources, these organizations can't build complex systems and hire data scientists. Instead, they need a new generation of data management solutions to help them extract information from stored data and compete in a marketplace where data intelligence is becoming a game changer.

 

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