2.
Diagnostic analytics answer the question of why something happened. It measures historical data against other kinds of data. A diagnostic analysis makes you drill down. It helps you to locate dependencies and find out patterns. Businesses make use of this analysis to get in-depth knowledge of a specific problem. Organizations need to have detailed data at all times. Otherwise, the collection of data may appear to be single for each challenge and consume more time. Diagnostic analytics gives phone number list you alerts before a potential issue arises. For example, it lets you know of employees who put in fewer working hours than they should.
3. Predictive Analytics
Predictive Analytics gives you information on what is likely to happen in the future. It makes use of the discoveries of both descriptive and diagnostic analytics. It helps you to discover clusters, tendencies, and exceptions. You can then predict trends likely to take place in the future. Thus, predictive analytics is a crucial forecasting tool. Despite its many advantages, forecasting only provides an estimate. Its accuracy depends on the quality of the data. Thus, it requires regular optimization and careful treatment.