It’s important to have an integrated information structure that facilitates better insights on multi-dimensional information to cater to business decision making and significant occasions.
It’s thought that the average Practice Analyst and Data Scientist spends 70 to 80% of the time on data preparation, depending on the events they think are important. There are different dimensions to the data. This information is funneled from different sources (internet /web data) that’s added to the traditional sources making it complicated. The more the dimensions it has, the more the complex the data, which makes it hard to create sustainable business value.
Here are some examples of different dimensions of Unstructured Data:
• Data from corporate & personal email ids and social networking profiles
A smart technology can make things move smoothly with the right infrastructure in place. Enterprises are increasingly interested in accessing the unstructured information/data and integrating it with the structured data. More exact data allows better test assumptions and effortless identification of trends and provides higher confidence in analytic results. Here are the steps to gather the hidden facts:
• Collect relevant data from relevant sources.
• Get a powerful process set up 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 information but also the implementation of advanced solutions that can allow all people throughout the organization to communicate and interact with the information, thus leading to the creation of an efficient, effective, productive and effective environment. The technology behind the process of analyzing unstructured information for useful insights is starting to redefine the way organizations look at data and will significantly reduce the number of hours necessary to gather the information. The files of unstructured data often contain a rich set of facts and dimensions which are otherwise not noticed because of lack of their visibility in a structured format. Therefore, it is required to tag and annotate the facts inherent in the text and its relative dimensions, so the structures derived from it may be used for knowledge management and business intelligence.