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8/6/2019 Final_United Shipping GmbH
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LOGO
Business Intelligence Solution
United Shipping GmbH
Amit UpadhyeFelix MartinezMelik Erfidan
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Agenda
Business caseExisting database design of the businessObj ectives of pro jectKey performance Indicators
D elivery D elayProduct Inflow to particular locationMost used shipment leg for particular time frame
P ro ject plan and Execution stepsD imensions , Key figures , Star schema
Master and transaction data uploadR eportingLessons learnt
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Business Case United Shipping GmbH
United Shopping is a private limited company withapproximately 500+ employees distri buted all over theworld .
Generically companies operation include management of the shipment process from location A to B via optimalpath(or in the technical term the optimal shipment legs).
BI solution has been adapted to help the management intaking the critical decisions a bout the business growthusing historic and current data.
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Business Case United Shipping GmbH
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Obj ectives of the P ro ject
Analyze the Business Case (As is analysis)
Understanding the key areas of concern for themanagement.
Developing a business intelligence solution using SA P Netweaver BI platform which will generate reports regardingthe needed K P I s for the higher management. Ultimatelysimplifying the process of decision making.
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Data base Design for the Business
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Key P erformance Indicators
1. Delivery DelayShipment Leg location for which delivery is frequentlynot on time and how late it is (time in days).
Importance : It is very Important for a shipping companyto find out the shipping legs which are not performing asexpected and take important decisions to improve theconditions .Formula used :
D elivery D elay = (Expected end date - Actual end date )KF/D imensions used :End Leg location , D elay in days
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Key P erformance Indicators
2. P roduct Inflow to particular location.T o Find out what is the quantity of particular productShipped to particular location in fixed time frame.
Importance : T his kpi provides important information toshipping company (by enabling them to forecast theshipments of particular products to particular area ) andalso to its customers(by making available the data whichtells them to where there products are in most demand)
KF/D imensions used: End leg location , Product I D ,Product Quantity
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Key P erformance Indicators
3. Most Used Shipment leg for particular TimeperiodT o Identify the most used shipment leg in a particularSeason or time period
Importance: this kpi helps shipping company to identifywhich are the shipping leg that are used most number of time during particular season / time of the year enablingthem to serve there customers in better way .
KF/D imensions used: T ime dimension as filter andshipment id
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P ro ject P lan
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TasksDurati
onResponsibilit
ies Start Finish Status
Analysis 6 days Team04.05.11
08:0011.05.11
17:00 Completed
Find KPI's and define KPI's
3 days Team
12.05.1108:00
16.05.1117:00 Completed
Capture Key Figures12.05.11
08:0016.05.11
17:00 Completed
Dimensions12.05.11
08:0016.05.11
17:00 Completed
Design of the Star Schema 2 days Team17.05.11
08:0018.05.11
17:00 Completed
Presentation on the basic Business process 1 day Team18.05.11
08:0018.05.11
17:00 Completed
Prepare master and Transaction data Design /ETL 4 days Team19.05.11
08:0024.05.11
17:00 Completed
Perform ETL 3 days Team 25.05.1108:00 27.05.1117:00 Completed
Construction/report 4 days Team28.05.11
08:0002.06.11
17:00 Completed
Prepare for the Final Presentation 5 days Team03.06.11
08:0009.06.11
17:00 Completed
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F inal status
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Dimensions
D imensions
Shipment
Product
Location
Status
T ime
Unit
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Key F igures
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Number of PC s / Product / ShipmentShipment product quantity
D ate at which shipment process startsShipment start date
Actual D ate at which shipment reaches destinationShipment end date actual
Expected D ate at which shipment reachesdestination
Shipment end dateexpected
Start location code for a shipment legShipment start eg
End location code for a shipment legShipment end eg
D ifference between actual and expected delivery dateShipment delay in days
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Star Schema
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Time
Shipment Start DateEnd Date ExpectedEnd Date ActualShipment Start LegShipment End LegQuantityUnitShipment Delay in days
Shipment Status IDShipment IDLocation IDP roduct ID
LocationLocation ID
Location Details
P roductP roduct ID
P roduct Details
StatusShipment Status IDShipment Status Details
ShipmentShipment ID
SenderR eceiver
Start LocationEnd Location
Unit
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Master Data upload
Info Objects - CH
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Uploading master data from excel sheet
Master Data upload
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Master Data upload
Master D ata in PSA
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Master Data upload
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Master Data upload
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Transaction Data upload
Info Objects - KF
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Transaction Data upload
Uploading Transaction data from excel sheet
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Transaction Data upload
Transaction D ata in PSA
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Transaction Data upload
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Transaction Data upload
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Transaction Data upload
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Complete P icture in the system
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KP I one Delay in Days (Excel )
Report/Chart
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Time frame Filter
End Leg Location Sum of Delay
27 0
33 0
34 168
39 0
44 88
45 0
46 0
61 328
81 72
91 6
93 9
94 3
95 4385 0
960 15
964 0
965 2
967 0
970 0
971 0
975 0
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KP I one Delay in Days (BEx)
Report/Chart
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KP I two P roduct inflow (Excel )
Report/Chart
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KP I two P roduct inflow (BEx)
Report/Chart
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KP I three Most used shipment path (Excel )
Report/Chart
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Time frame Filter
Shipment ID Count of shipment_id
1000000 4
1000001 6
100000
16
1000003
1000004 6
1000005 15
10000
0 35
10000
3 176
10000
4 35
10000
8 440
Grand Total 136
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KP I three Most used shipment path (BEx)
Report/Chart
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Lessons learnt !
Naming conventions are very important.Take care while creating the csv file.Take care of automatic assignment of data typesMake sure that you activate all the o bjectsimmediately after saving.Make sure that there is very clear communicationbetween all the mem bers of the team
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LOGO
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