BACHELOR OF BUSINESS ADMINISTRATION

Detailed explanation-1: -Diagnostic analytics is a form of advanced analytics that examines data or content to answer the question, “Why did it happen?” It is characterized by techniques such as drill-down, data discovery, data mining and correlations.

Detailed explanation-2: -One example of diagnostic analytics that requires using a software program or proprietary algorithm is running tests to determine the cause of a technology issue. This is often referred to as “running diagnostics” and may be something you’ve done before when experiencing computer difficulty.

Detailed explanation-3: -Diagnostic analytics is usually performed using such techniques as data discovery, drill-down, data mining, and correlations. In the discovery process, analysts identify the data sources that will help them interpret the results. Drilling down involves focusing on a certain facet of the data or particular widget.

Detailed explanation-4: -In data analytics and data science, there are four main types of data analysis: Descriptive, diagnostic, predictive, and prescriptive. In this post, we’ll explain each of the four different types of data analysis and consider why they’re useful.