IIRF Online > Business > Business Analytics & Intelligence > Business Analytics > Introduction to Business Analytics
Introduction to Business Analytics by Udemy
How to Build a Profitable and Winning Company Using Business Analytics
Course Highlights
- Acquire business acumen
- Build a strategic plan of how your business (or your employer's business) can leverage data for superior performance
- Be able to understand how to measure business performance
- Learn from a professional with a proven track record and valuable experience
- Become familiar with modern business analytics techniques
- Understand stakeholder mapping
- Learn about end-to-end process mapping
- Develop an understanding of the H2R, R2R, S2P , O2C end-to-end processes in a corporation
- Identify key value drivers
- Compare metrics vs KPIs
- Define metrics
- Perform benchmarking
- Learn about the imoprtance of the Master Data function
- Carry out historical analysis, variance analysis, trend analysis, value-based analysis, correlation, time series, regression, as well as machine and deep learning analysis
- Acquire an understanding of how to manage an analytics project
- Gain an understanding of what makes for a successful analytics project
Skills you will learn!
Curriculum
6 Topics
What does the course cover?
Managing expectations of different stakeholder groups
Preparing an annual business plan and a long-range plan
Expectations
Analytics vs analysis
Long range plan and Annual business plan (ABP)
6 Topics
Section intro
Stakeholder mapping
Defining business intelligence
End-to-end process mapping (part 1)
End-to-end process mapping (part 2)
Understanding your business
6 Topics
Hire-to-retire (H2R)
Source-to-Pay (S2P)
Record-to-report (R2R)
Order-to-Cash (O2C)
Global process owners - Conclusion
Global process owners
7 Topics
Identifying a firm's key value drivers
Metrics vs KPIs
Define your metrics
The benchmarking exercise
The importance of data
The master data governance function
Target setting
6 Topics
Section intro
Descriptive analytics
Diagnostic analytics
Predictive analytics
Prescriptive analytics
Maturity stages
17 Topics
Section intro
Trend analysis
Trend analysis in Excel
Comparative analysis
Comparative analysis in Excel
Value-based analysis
Value-based analysis in Excel
Correlation analysis
Correlation analysis in Excel
Time series analysis
Time series analysis in Excel
Regression analysis
Regression analysis in Excel
Machine learning analysis
Natural language processing
Analytics in practice - Conclusion
Analytics techniques in practice
10 Topics
Section intro
Hypothesis development
Situational analysis
Building a RACI matrix
What makes for a successful project?
Current state analysis
Blueprint and design
Build and test
Build and test: Step-by-step
Deploy and operationalise
1 Topic
Data visualization
3 Topics
Practical case study (part 1)
Practical case study (part 2)
Completing 100%
Introduction to Business Analytics
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