Published on January 4th, 2019 | by Guest

Big Data and Analytics [Infographic]

Big data and analytics encompasses a highly sophisticated process of evaluating large amounts of information. In this field, information technology (IT) experts use highly advanced applications and frameworks that leverage complex theories such as predictive modeling, statistical algorithms and what-if analysis. Using these kinds of advanced methodologies, IT specialists make use of their expertise in discovering deeply hidden correlations in data.

In general, data analytics technologies and practices give IT experts a way to extract meaningful and actionable insights from information. For instance, in a subdiscipline of data analytics – business intelligence (BI) – researchers evaluate corporate information stores to help executives optimize organizational performance. This research helps business leaders discover opportunities for improvement such as new revenue sources, ways to improve marketing initiatives and vital competitive advantages.

Experts from several disciplines leverage big data analytics. This might include data scientists, predictive modelers, statisticians and other analytics specialists. These talented researchers work with complex applications that can extract deeper insights from information compared to common analytic programs.

The latest innovations in big data and analytics technology is designed to work with unstructured and semi-structured information. This type of data comes from many sources, such as:

Clickstream data
Consumer emails
Social media posts
Survey responses
Web server logs

Along with the emergence of machine data and the Internet of Things (IoT), the digital universe of unstructured information is expanding rapidly, making advanced data analytics technology invaluable.

The problem with this wealth of unstructured information is that it doesn’t work well with traditional relational databases. Furthermore, standard data warehouses may fail to have the power to process unstructured and semi-structured information. This kind of information is updated frequently, if not constantly – as is the case with real-time stock trading data, website activity and mobile application performance. Resultantly, the need for skilled experts who can leverage the latest big data and analytics technology is rising.