BigData analytics is the complex process of analyzing large and varied data sets to uncover information like hidden patterns, market trends, customer choice and unknown correlations that help business organizations to make decisions with ease.BigData Analytics and Predictions offered by various data management consulting services are changing the industries at a rapid pace nowadays.

Data analytics and prediction are proving to be immensely useful in the fields of branding and recruitment by helping the industries make easy, well-informed decisions.Along with the previous scopes shown by data analysis technology, these are the new and exciting BigData Predictions and Trends to watch out for in 2020:Automated Data Analysis: Automated data analysis has proven to be a highly favored technology by almost every industry to increase business potentials.

It is hoped that the automation will assist the organizations with accurate analytics for making better decisions based on the predictions.In – memory calculating: Reduction in the cost and complexity of in-memory computation is likely to make the process of IMC a much more popular option among industries.

IMC has the potential of proving to be the solution for a varied number of problems faced by the organizations by the latest technology used behind it, also known as persistent memory tech.Persistent memory tech is new and is a memory tier conveniently placed between the Dynamic Access Memory and Flash Memory.With the widespread implementation of IMC made possible, industries are improving their application performance and instantaneous responses.Data Analytics merged with the Internet of Things or IoT: The Internet of Things or IoT is an interconnection between several different devices, networks, technologies and human resources set to reach a common target.

The data generated by IoT is valuable when analyzed in the context of finding information relevant and necessary for the industries concerned.It is expected that by 2020, more than 20 billion IoT devices will be actively involved in the process of BigData collection, analytics, and prediction.

Augmented Analytics: Augmented analytics has the capacity to automate many analytical operations as well as building models and insights that are much easier to interact with.With its unique approach of merging the AI and ML techniques for creating, developing, sharing and consuming generated data for analysis, Augmented Analytics is expected to become the most popular technology in the field of data analytics and prediction in the upcoming years.Data as a Service Tool: Data as a service, shortened to DAAS is a cloud-based technology that allows users to access digital information with the help of the internet.