The Art of Creating Value from Data: Big Data Analytics

Analysis of Big Data enables analysts, researchers, and business users to make better and faster decisions using previously inaccessible or unavailable data.

Big Data Analytics is a subset of Business Intelligence (BI) that uses advanced analytical techniques to process large amounts of rich data of varying sizes, structured, semi–structured, or unstructured, from different sources. Big Data Analytics Tools collect data from various sources such as social media, the web, and databases and perform detailed analysis on this large–scale data to reveal patterns and patterns within it. The most important difference between Big Data Analytics from Business Analytics is the size of the data in terms of volume and the analytical techniques applied to these data.

These Big Data Analytics tools often require advanced knowledge of data analytics techniques, and technologies like cloud–based analytics are also used.Big Data Analytics takes collected data and presents it in meaningful ways using visualizations and required tables. Well–presented data can give decision–makers and managers the information and guidance they need before deciding on any issue.

These types of software typically use four types of analytics to help build and uncover insights:

1) Predictive Analytics

2) Normative Analytics

3) Diagnostic Analytics

4) Descriptive Analytics

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- SquareOne Technologies (squareonemea.com)