Data is a goldmine of knowledge. It is important to have an integrated information architecture that facilitates a better understanding of multidimensional information to support business decisions and important events. The most important question is: ‘Where to start and how to find what is hidden in the data?’

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

Here are some examples of different dimensions of unstructured data:

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

Smart technology can keep things running 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 enables better testing 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 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 everyone 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 starting to redefine the way organizations view data and will significantly reduce the number of hours it takes 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 in the text and their relative dimensions, so that the structures derived from it can be used for knowledge management and business intelligence.