Enterprise data is made up of structured and unstructured data. Often, enterprises stops mining structured data, as it is visible and accessible. This means unstructured data, which forms 80 percent of all the available data in an enterprise, is underutilized. Jitin Agarwal, Vice President, Enterprise Products, at Epam, says enterprises should consider prioritizing mining unstructured data.
For enterprises, it is a challenge to make sense of unstructured data because, by nature, it is diverse, difficult to search and navigate. It is more challenging today due to the exponential growth in scale and type of unstructured data in enterprises. This is where text analytics and sentiment analysis tools can offer a one-two punch. These tools enable enterprises to assign depth, meaning and intelligence to their unstructured data. In addition, several applications, which can maximize the benefits of using text analytics and sentiment analysis tools, are available today.
For instance, enterprises can apply text analytics and sentiment analysis tools to their business strategy by taking a hybrid approach to enterprise search. Furthermore, enterprises are exploring ways to leverage the rapidly advancing capabilities of these tools to gather and dissect a combination of structured and unstructured data. Additionally, enterprises are endeavoring to unearth powerful insights by converting structured data queries to run against unstructured data sets.
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