Facts of Unstructured Data

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It is necessary to have an integrated information structure that facilitates better insights on multipurpose information to cater to business decision making and significant occasions.

It’s believed that the normal Practice Analyst and Data Scientist spends 70 to 80 percent of the time on data preparation, based on the events they think are important. There are various dimensions to the information. This data is funneled from different sources (net /web data) that is added to the conventional sources making it complex. The more the size it has, the more the complex the information, making it tough to create sustainable business value.

Here are some examples of different dimensions of Unstructured Data:

• Data from corporate & personal email ids and social network profiles
• Text and instant messages
• Data generated from user activity on sites, such as location information
• Client call logs and voicemail data
• Newspaper articles & whitepapers
• Encrypted documents and images
• Images, audio and video files
• Calendar and contacts
• Internet browsing history

A smart technology can make things move smoothly with the right infrastructure in place. Enterprises are increasingly interested in obtaining the unstructured information/data and incorporating it with the structured data. Most of the platforms can identify maximum potential of the important variable followed by determining its relevancy to the business. More precise data allows better evaluation assumptions and easy identification of trends and provides higher confidence in analytical results. Here are the steps to collect the hidden facts:

• Collect relevant data from relevant sources.
• Get a highly effective process in place to store the information.
• Run and determine the critical variables.
• Develop predictive model.

The future of information isn’t merely the analysis of the volume of data but also the implementation of advanced solutions that may allow all people throughout the organization to communicate and interact with the data, thus resulting in the creation of an efficient, effective, productive and effective environment. The technology behind the process of analyzing unstructured information for useful insights is beginning to redefine the way organizations examine info and will significantly decrease the number of hours needed to gather the info. The files of unstructured information often have a rich set of facts and measurements which are otherwise not noticed due to lack of the visibility in a structured format. Therefore, it’s required to tag and annotate the details inherent in the text and its relative measurements, so the structures derived from it might be used for knowledge management and business intelligence.

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