The document outlines a business intelligence project for a shipping company. It discusses the existing database, key performance indicators like delivery delay and product inflow, dimensional modeling, ETL processes, and sample reports. The objectives are to analyze business data, understand management concerns, and develop BI reports on KPIs to help decision making. Dimensional models, master data upload, transaction data processes, and sample Excel and BEx reports are presented. Lessons learned focus on naming conventions, file formats, data types, object activation, and team communication.

1. LOGO
Business Intelligence Solution

2. Agenda
 Business case
 Existing database design of the business
 Objectives of project
 Key performance Indicators
 Delivery Delay
 Product Inflow to particular location
 Most used shipment leg for particular time frame
 Project plan and Execution steps
 Dimensions , Key figures , Star schema
 Master and transaction data upload
 Reporting
 Lessons learnt
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3. Business Case United Shipping GmbH
 United Shopping is a private limited company with
approximately 500+ employees distributed all over the
world.
 Generically companies operations include management of
the shipment process from location A to B via optimal
path(or in the technical term the optimal shipment legs).
 BI solution has been adapted to help the management in
taking the critical decisions about the business growth
using historic and current data.
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4. Business Case United Shipping GmbH
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5. Objectives of the Project
 Analyze the Business Case (As is analysis).
 Understanding the key areas of concern for the
management.
 Developing a business intelligence solution using SAP Net
weaver BI platform which will generate reports regarding
the needed KPI’s for the higher management. Ultimately
simplifying the process of decision making.
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6. Database Design for the Business
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7. Key Performance Indicators
1. Delivery Delay
 Shipment Leg location for which delivery is frequently
not on time and how late it is (time in days).
 Importance : It is very Important for a shipping company
to find out the shipping legs which are not performing as
expected and take important decisions to improve the
conditions.
 Formula used :
Delivery Delay = (Expected end date - Actual end date ).
 KF/ Dimensions used :End Leg location , Delay in days.
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8. Key Performance Indicators
2. Product Inflow to particular location.
 To Find out what is the quantity of particular product
Shipped to particular location in fixed time frame.
 Importance : This KPI provides important information to
shipping company (by enabling them to forecast the
shipments of particular products to particular area ) and
also to its customers(by making available the data which
tells them to where there products are in most demand).
 KF/ Dimensions used: End leg location , Product ID ,
Product Quantity.
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9. Key Performance Indicators
3. Most Used Shipment leg for particular Time
period
 To Identify the most used shipment leg in a particular
Season or time period.
 Importance: this KPI helps shipping company to identify
which are the shipping leg that are used most number of
time during particular season / time of the year enabling
them to serve there customers in better way.
 KF/ Dimensions used: Time dimension as filter and
shipment id.
9 United Shipping GmbH

10. Project Plan
Durati Responsibilit
Tasks on ies Start Finish Status
04.05.11 11.05.11
Analysis 6 days Team 08:00 17:00 Completed
12.05.11 16.05.11
Find KPI's and define KPI's 08:00 17:00 Completed
12.05.11 16.05.11
3 days Team
Capture Key Figures 08:00 17:00 Completed
12.05.11 16.05.11
Dimensions 08:00 17:00 Completed
17.05.11 18.05.11
Design of the Star Schema 2 days Team 08:00 17:00 Completed
18.05.11 18.05.11
Presentation on the basic Business process 1 day Team 08:00 17:00 Completed
19.05.11 24.05.11
Prepare master and Transaction data Design /ETL 4 days Team 08:00 17:00 Completed
25.05.11 27.05.11
Perform ETL 3 days Team 08:00 17:00 Completed
28.05.11 02.06.11
Construction/report 4 days Team 08:00 17:00 Completed
03.06.11 09.06.11
Prepare for the Final Presentation 5 days Team 08:00 17:00 Completed
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11. Final status
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12. Dimensions
Shipment
Unit Product
Dimensions
Time Location
Status
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13. Key Figures
Shipment product quantity • Number of PC’s / Product / Shipment
Shipment start date • Date at which shipment process starts
Shipment end date actual • Actual Date at which shipment reaches destination
Shipment end date • Expected Date at which shipment reaches
expected destination
Shipment start Leg • Start location code for a shipment leg
Shipment end Leg • End location code for a shipment leg
Shipment delay in days • Difference between actual and expected delivery date
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14. Star Schema
Shipment
Shipment ID
Status Sender
Shipment Status ID Receiver
Shipment Status Details Start Location
End Location
Shipment Start Date
End Date Expected
End Date Actual
Shipment Start Leg
Shipment End Leg
Quantity Location
Unit Unit Location ID
Shipment Delay in days Location Details
Shipment Status ID
Shipment ID
Location ID
Product ID
Product
Product ID
Time Product Details
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15. Master Data upload
Info Objects - CH
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16. Master Data upload
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17. Transaction Data upload
Info Objects - KF
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18. Transaction Data upload
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19. Transaction Data upload
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20. Transaction Data upload
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21. Report in BEx
Report/Chart
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22. KPI one – Delay in Days (Excel )
Report/Chart
Time frame Filter
Loc Number End Leg Location Sum of Delay
1 27 0
2 33 0
3 34 168
4 39 0
5 44 88
6 45 0
7 46 0
8 61 328
9 81 72
10 91 6
11 93 9
12 94 3
13 95 4
14 385 0
15 960 15
16 964 0
17 965 2
18 967 0
19 970 0
20 971 0
21 975 0
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23. KPI one – Delay in Days (BEx)
Report/Chart
Report For all the data for year 2010
Sum of Delay
350
300
250
200
Sum of Delay
150
100
50
0
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21
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24. KPI two – Product inflow (Excel )
Report/Chart
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25. KPI three – Most used shipment path (Excel )
Report/Chart
Time frame Filter
Shipment ID Count of shipment_id
1000000 4
1000001 6
1000002 16
1000003 2
1000004 6
1000005 15
1000020 352
1000023 176
1000024 352
1000028 440
Grand Total 1369
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26. KPI three – Most used shipment path (BEx)
Report/Chart
Report For all the data for year 2010
Count of shipment_id
500
450
400
350
300
250
Count of shipment_id
200
150
100
50
0
1000000 1000001 1000002 1000003 1000004 1000005 1000020 1000023 1000024 1000028
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27. Lessons learnt !
Naming conventions are very important.
Take care while creating the csv file.
Take care of automatic assignment of data types
Make sure that you activate all the objects
immediately after saving.
Make sure that there is very clear communication
between all the members of the team
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28. LOGO
United Shipping GmbH 34