Intersecting at the perfect junction of information technology, statistics, and business, Data Analytics is the science of analyzing raw data to extract business insights and trends.

Constructing strategies that go beyond maximizing profits and return on investment, Data Analytics can be broadly categorized as

• Predictive Analytics: It is used to examine the current and historical data patterns to understand if the patterns are likely to occur, or what will happen in the future. 

• Prescriptive Analytics: It relies on machine learning technology to examine the data and answer questions on what should be the best course of action. 

• Descriptive Analytics: It concludes the historical data to understand what had happened in the past, highlighting the areas of strengths and weaknesses in an organization.

• Diagnostic Analytics: This form of advanced analytics helps to reveal the complete spectrum of causes by allowing users a drill-downs to understand why it happened.

These wonderful processes of gathering, collecting, and studying data sets to extract relevant information can help organizations to get real-time insights and gain a competitive advantage.

However making sense to the raw information that is growing exponentially every day,  have the applications of data Analytics improved the world with real-time decisions?

- MADHAVI DESAI