Insights Of Data Granularity
- Gowtham V

- Apr 28, 2022
- 1 min read
Data Granularity :
Data granularity is the level of detail considered in a model or decision making process or represented in an analysis report. The greater the granularity, the deeper the level of detail. Increased granularity can help you drill down on the details of each business segmentations and assess its efficacy and efficiency.
The following video takes you through how to consume the insights of data from highest to lowest granularity.
As explained in the above video. 1. Initially we were seeing the data at the states level for the country India. 2. And when the user click on to the state, it will show the respective cities level of details. Also the user can see different business overviews like Sales, Profit, Logistics cost and number of orders. 3. Finally when the user click on any city then a cross tab will pop-up and shows the selected city details of different business overview.
Conclusion : Granular measurements shows you how to optimize lacking areas.
Example : If the logistics cost is higher than the profit ratio then it is an actionable area. We can add many more business insights at the lowest level so that you can understand the smaller components.
In the coming articles, I will explain how to build the above report and data driven decision making report with detail explanation.
If any feedbacks or corrections. Please comment below.
Thank you.




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