Is Deep Data Analysis Changing the Meaning of Business Intelligence?

A Deep Data is referred to the high quality big data which are relevant as well as actionable. Therefore, A Deep Data Analysis has been considered as one of the applications of sophisticated data processing through which information from multiple data sources are yielded. There are four types of Deep Data Analysis which are: Predictive Data Analysis, Prescriptive Data Analysis along with the Diagnostic Data Analysis and Descriptive Data Analysis as well. These are not only structured data but also contain some of the semi structured data as well. A deep data analysis has an involvement of precise and complex queries. It has therefore a requirement of the real time responses. Deep Data Analysis has a deep association with cloud computing. Famous frameworks such as MapReduce have been managed through workload distribution. Columnar Databases along with the in-memory Analytics have been greatly used in order to speed up the processes of approach. Sectors which have greatly used this deep analytics are: the Financial Sector, the Scientific Community along with the Biomedical Industries. In some of the recent years, there has been a great usage of the practices within the enterprise.

Another name of this Deep Data Analysis is: Big Data Analytics. It has been known that eighty percent of the global data has contained different text, videos and images. Analysis of the data cannot take place without any typical traditional approaches. The founders of the Deep Data Analysis have been greatly influenced by the meaningful insights from the social media campaigns and therefore developed an all in one machine learning solution for the sake of rating the effectiveness of influencer campaigns which are therefore based upon the content and segment. Deep Data Analytics has the usage of Artificial Intelligence along with machine learning and natural language processing in order to obtain the insight issues from each unstructured data.

Deep Data Analysis therefore has an aim of leading the future towards the vertical integrated investment strategies. With the help of increasing the production ready neutral network, a Deep Data Analysis has successfully broadened all the accurate applications to different types of unstructured data challenges.