Uncover the hidden facts of unstructured data

Data is a gold mine of insights. It is important to have an integrated information architecture that facilitates a better understanding of multidimensional information to serve business decision making and important events. The most important question is: ‘Where to start and how to find what is hidden in the data?’

It is believed that the average practice analyst and data scientist spend 70-80% of their time preparing data, depending on what events they consider important. There are different dimensions of data. This data is piped from different sources (internet/web data) that are added to the traditional sources, making it complex. The more dimensions you have, the more complex the data, making it more difficult to create sustainable business value.

Here are some examples of different dimensions of unstructured data:

• Data from personal and corporate email ids and social media profiles
• Instant and text messages
• Data generated from user activity on the Sites, such as location information
• Customer call records and voicemail data
• Press articles and white papers
• Files and images encrypted
• Images, audio and video files
• Calendar and contacts
• Internet browsing history

Smart technology can make things run smoothly with the right infrastructure. Companies are increasingly interested in accessing unstructured information/data and integrating it with structured data. Most platforms can identify the maximum potential of the important variable and then determine its relevance to the business. More accurate data allows for better test assumptions and easy identification of trends and provides greater confidence in analytical results. Here are the steps to collect the hidden facts:

• Collect relevant data from relevant sources.
• Get a powerful process to store the data.
• Run and determine the important variables.
• Develop predictive model.

The future of information is not only the analysis of the volume of data, but also the implementation of improved solutions that can allow all people in the organization to communicate and interact with the data, which will lead to the creation of an efficient system. , effective, productive and successful environment. The technology behind the process of analyzing unstructured data for actionable insights is beginning to redefine the way organizations view data and will significantly reduce the number of hours required to collect the insights. Unstructured data files often contain a rich set of facts and dimensions that are otherwise unnoticed due to lack of visibility in a structured format. Therefore, it is required to label and annotate the facts inherent to the text and their relative dimensions, so that the structures derived from it can be used for knowledge management and business intelligence.