deva-246 / DataAnalytics-on-Real-time-HR-Dataset

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DataAnalytics-on-Real-time-HR-Dataset

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Insights required by HR :

1. working preference of employees?

2. wfh on which day is most prefered?

3. How much percentage of people are present in a week?

4. Which part of the week does employees prefer wfh mode is it begining/end/mid of the week?

note : this will support to plan team outing/ team lunch
on basis of hybrid mode better capacity planning can be done
so that rental space can be minimized and reduce the cost of infrastructure.

5. what is the sick leave percentage?

note : In case of covid/spreading flu precautions must be taken.
Higher the % of employees take leave, higher the risk and must me taken care of.

6. Period of time in a year where people get sick?

note : this helps to organize sanitation and medical aids in form of campaigns or of any other means.

Extracted Insights

1. wfh interest %

2. release schedules based on absence %

3. Tile based months - analytics

4. % comparision with line chart

5. table representations

Future scope

SCOPE

1. Is there any chance for a email notification? if present % goes below 80 or 75 - HR

sol : - publish the report to cloud

2. dynamic file uploading solution?

sol:- a common drive/google sheet / sharepoint folder 
so no need of updation every time

3. dashboard available to people/employees only charts?

sol:- visual level privilege , low level/option level security 

publish the report on cloud to manager level and create another copy for employee filtered manner