Data Analytics & Reporting

Data Analytics & Reporting

Lead the data revolution

Data analytics is important because it helps organizations to optimize their performances. Implementing it into the business model means organizations can help reduce costs by identifying more efficient ways of doing business. Data analytics can be used to make better business decisions and help analyze customer trends and satisfaction, which can lead to new—and better—products and services.

How analytics can help your data evolve
Types of Analytics Descriptive analytics

This describes what has happened over a given period of example of that comparing current sales of credit cards Year Over Year

Descriptive Analytics
Diagnostic analytics

This focuses more on why something happened. This involves more diverse data inputs , Due to Lockdown happened in the world as a result of COVID 19 Pandemic , Redemption Amounts has dropped significantly on the period March 2020 to August 2020 , as less people could travel and book hotels.

Diagnostic Analytics
Prescriptive analytics

This suggests a course of action. For example a shipping company can outsource multiple couriers in the holy month of Ramadan , as amount of shipments that are being delivered increases during the holy month.

Prescriptive Analytics
Predictive analytics

This moves to what is likely going to happen in the near term. Based on the history , what is likely to happen to the sales , you can setup predictive models in order to answer most of future questions.

Predictive Analytics

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