Application of Data Analytics to Assist Human Decision-Making

Data analytics is the science of analyzing raw data in order to make conclusions about the information derived from it. In fact, many data analytics methods have been designed to autonomously transform raw data into information for human consumption. This information can then be used to optimize processes and increase the overall efficiency of a business or system. The data analytics process includes the following steps: 1. Determine data requirements; 2. Define the process for collecting data; 3. Organize that data so it can be analyzed; 4. Clean the data before analysis; 5. Perform analysis and generate results to assist with human decision-making. Data analytics is broken down into four basic types: Descriptive analytics describes what has happened over a given time period; Diagnostic analytics focuses on why something happened; Predictive analytics describes what is likely going to happen in the near term; Prescriptive analytics suggests a course of action. 

In summary, the audience will emerge from this presentation with a focused understanding of data analytics principles and, through the examples from 6 use cases, how these principles can be applied to assist humans in making decisions for complex SoS.

The virtual webinar was hosted by the IEEE UK & Ireland Section Chapter.