1. SMAC: Sales Marketing & Communication
This is an DW/BI System based upon imported SAP SI data combined with manually inserted Forecast
etc, imported internet market info etc.
We defined what we named the Blood Vein of companies in the production/sales business.
This consists of the following (generating $):
After creating a DW based upon these information types we created a BI Solution on top of this more or
less being able to visualize all sorts of valuable business information related to this Blood Vein.
This enables the business to take full advantage of all the valuable business information already available
in your ERP system, on Internet etc.
From this the business is able to take full control of this very important information value chain and
thereby refine the business accordingly, do the necessary organisational changes, educate the workforce
to work more effective and professional, all focusing on the common and clearly defined goals etc.
Some of the functionality related to this BI Solution is shown below in this document:
Order
data
Delivery
data
Invoice
data
Accounting
data
Payment
data
Stock
data
Production
data
Market
prices
Forecast, Budget &
Planning data
7. YTD September-2007 Quantity Deviation
-120
-100
-80
-60
-40
-20
0
20
40
60
West Europe
exNordic
Nordic East Europe Middle East Far East Oceania Africa South America North America Div. Countries
Deviation(%)
50 000
100 000
150 000
200 000
250 000
300 000
350 000
400 000
Quantity(MT)
Actual
Quantity
(MT)
Last
Year
Dev (%)
Forecast
Dev (%)
Forecast
Backup
Dev (%)
Budget
Dev (%)
Planning
Dev (%)
Quarterly Q3-2007 Quantity Deviation
-150
-100
-50
0
50
100
150
West Europe
exNordic
Nordic East Europe Middle East Far East Oceania Africa South America North America Div. Countries
Deviation(%)
20 000
40 000
60 000
80 000
100 000
120 000
140 000
Quantity(MT)Actual
Quantity
(MT)
Last
Year
Dev (%)
Last
Quarter
Dev (%)
Forecast
Dev (%)
Forecast
Backup
Dev (%)
Budget
Dev (%)
Planning
Dev (%)
8.
9.
10. Early & late days Averages, (EUR), 200601 - 200712
For Strat. Unit=Suspension
-9
-6
-15
-10 -11 -10
-16 -15
-11 -12
-7
-9
-15
-7
-16
-12 -13
-10
-14 -13 -12
-17
-14
2 2 2 2 2 2 3 2 2 2 2 2 2 2 2 2 2 2 2 1 2 1 2
6 6 5 6 6 6 6 7 6 6 6 6 6 5 5 6 5 5 6 6 7 7 6
31
26 26
18
30
23
18
29
21
18
21
24
21
22
45
26
17
35
20
42
19
22
15
-20
-10
0
10
20
30
40
50
jan
2006
mar
2006
mai
2006
jul
2006
sep
2006
nov
2006
jan
2007
mar
2007
mai
2007
jul
2007
sep
2007
nov
2007
AverageDays
Average early days Average 1-3 days late
Average 4-10 days late Average >10 days late
Early & late days Distribution, (EUR), 200601 - 200712
For Strat. Unit=Suspension
0
10
20
30
40
50
60
70
80
90
100
jan
2006
mar
2006
mai
2006
jul
2006
sep
2006
nov
2006
jan
2007
mar
2007
mai
2007
jul
2007
sep
2007
nov
2007
%
% early % of on time % 1-3 days late % 4-10 days late % >10 days late
Days given v.s days taken, (EUR), 200601 - 200712
For Strat. Unit=Suspension
0
10
20
30
40
50
60
70
jan
2006
mar
2006
mai
2006
jul
2006
sep
2006
nov
2006
jan
2007
mar
2007
mai
2007
jul
2007
sep
2007
nov
2007
AverageDays
Average days given Average days taken
Average Days, (EUR), 200601 - 200712
For Strat. Unit=Suspension
0
10
20
30
40
50
60
70
jan
2006
mar
2006
mai
2006
jul
2006
sep
2006
nov
2006
jan
2007
mar
2007
mai
2007
jul
2007
sep
2007
nov
2007
AverageDays
Days
Given
Days
Early
Days
Late
Days
Taken
All Payments, (EUR), 200601 - 200712
For Strat. Unit=Suspension
0
100
200
300
400
500
600
700
800
jan
2006
mar
2006
mai
2006
jul
2006
sep
2006
nov
2006
jan
2007
mar
2007
mai
2007
jul
2007
sep
2007
nov
2007
0
100
200
300
400
500
600
700
800
AverageDays
WCC
Given
KEUR
WCC
Gain
KEUR
WCC
Loss
KEUR
Days
Given
WCC
Taken
KEUR
Late Payments, (EUR), 200601 - 200712
For Strat. Unit=Suspension
0
50
100
150
200
250
300
350
400
jan
2006
mar
2006
mai
2006
jul
2006
sep
2006
nov
2006
jan
2007
mar
2007
mai
2007
jul
2007
sep
2007
nov
2007
0
10
20
30
40
50
60
70
AverageDays
WCC
Given
KEUR
WCC
Loss
KEUR
Days
Given
Days
Delay