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Agenda
Introduction
BI Tools/Techniques Used
Data Normalization
Analysis
Comparison
Business Value
Conclusion
Introduction
The dataset is based on job market metrics like
salaries, job industries, occupation, countries
etc.
Contains historical data from year 1983 to 1999
Contains wage data of 132 countries
Data source EconomicsWebInstitute.org
Data Normalization
Cleaning the dataset
Removed entries with inappropriate values (1%)
Removed entries with NULL values (0.5%)
Consolidated dataset from different year ranges
Normalized dataset to meet single standard of comparison
Wage rate was standardized to USD
Exchange rate was taken care for country to country and time
to time
Average Wages Vs Occupation
Air transport pilot Miner Post office counter clerk Cook0.00
500.00
1000.00
1500.00
2000.00
2500.00
3000.00
Average Wage Vs Occupation
Average Wage Comparison - Accountant
1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 19990
500
1000
1500
2000
2500
3000
Average Wage Comparison - Accountant
United States China India
Data Visualization
Business Value
The analysis can be used by
Job boards like glassdoor, LinkedIn etc. to recommend
potential employers to candidates based on their profile and
the job industries
University career services department to help students
target specific occupation by considering average salary
metrics by locations, growing trends etc.
This analysis can further be extended to make future
predictions in job trends
Conclusion
The world has seen major shifts in the changing job
markets
Worlds largest economies have shown significant
rise in the average salaries in many job industries
Results will help us compare the historical data and
hence carry out predictive analysis to save cost and
build better solution useful to various organizations
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