1. Operation Data Analysis Hints and Guidelines
EGN Enterprise Systems Collaboration
(Professional MSEM) Fall, 2012

2. Tools to Analyze Data
Tools to analyze data range from simple to complex
Reports and graphs
Advanced statistics forecasting models
Advanced optimization models and tools
Having the right people matters
Having data modeling 2

3. A Large Quantity of Quality Data
All analytic methods feeds on data – in large quantity and good quality
Having good data can be turned into a competitive advantage
Integrated organizations have a lot of data available, they must learn to exploit it 3

4. Interpreting Data
Skills are required to create appropriate graphs, reports, and statistical analysis
Skills are required to interpret correctly graphs, reports and statistics
Skills are required to make the appropriate decisions from the analytics 4

5. Using Queries to Analyze Data
Queries contain 2 basic elements:
Key Figures, KPI
Dimensions.
Margins as a function of time
Sales by country 5

6. An Example
Dimensions
Dimensions
Measures
At the heart of a 6

7. Elements of an Info Cube
Key figures
Dimensions 7

8. Types of Measures
Additive : it makes sense to sum the measures across all dimensions
Quantity sold across Region, Store, Salesperson, Date, Product …
semi additive : additive only across certain dimensions
Quantity on hand is not additive over Date, but it is additive across Store and Product
non additive : cannot be summed across any dimensions
A ratio, a percentage
A measure that is non additive on one dimension may be the object of other data aggregations
Average, Min, Max of quantities on hand over time 8

9. How DW Differs from a Transactional DB?
Characteristic DB DW
Operation
Real-time, transactional
Decision support, strategic analysis
Model
Entity-Relationship
Star Schema
Redundant data
Designed to avoid
Permitted
Data
Raw data, current
Aggregated, Historical data,
# of users
Many
Few
Update
Immediate
Deferred
Calculated fields
None stored
Many stored
Mental model
Tabular
Hypercube
Queries
Simple, some saved
Complex, many saved
Operations
Read / Write
Read Only
Size
Go (Gigabytes)
To(Terabytes) 9

10. Exploring Data

11. Plant A: An overview 11

12. Plant B : an Overview 12

13. Plant C an Overview 13

14. Trying to Maintain Stocks for All Products14

15. Large Variations in Sales per Step15

16. Manipulating Graphs

17. Key Figure or KPI Y-dimension17

18. Graph type: Scattered Bars18

19. Graph Type: Scattered Lines19

20. Graph Type: Lines 20

21. Graph Type: 3D Bars 21 21

22. BI Questions

23. BI Question 1 Current assets include
(i) cash
(ii) receivables
(iii) raw material inventory
(iv) finished product inventory
How well have the teams performed in managing the current assets over time?
Hint: Use the financial data 23 23

24. BI Question 2
Did the winning team bring their highest margin product to market first?
Did they charge a price premium while they were first to market?
Can you see the impact of a competitor entering the market?
Hint: Use the operational data 24 24

25. BI Question 3
One objective of materials management is to make sure that raw materials are available for production when needed
Which company has managed this process well as shown by having the largest variety of products in stock?
Hint: Use inventory data by products over time 25 25

26. BI Question 4
Companies may have different strategies for production management
Some may prefer long productions to minimize setup losses, while others may prefer shorter runs to respond more quickly to market opportunities
Can you determine what strategies were used by each team?
Where there any production disruptions?
Hint: Use production data over time and products. Filter for each individual company. 26 26

27. BI Question 5 Companies want to maximize sales
If sales are too high, the price may be too low, and vice versa
Can you tell sales is affected by prices? 27 27

28. BI Question 6
Who owns the market (as measured by market share) for each product?
Hint: Use sales data filtered by product with drilldown across plant
Use a stacked area chart 28 28