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ENBIS Challenge 2009 Thomas Mühlenstädt Institut für Mathematische Statistik und industrielle Anwendungen

ENBIS Challenge 2009 Thomas Mühlenstädt Institut für Mathematische Statistik und

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ENBIS Challenge 2009 Thomas Mühlenstädt Institut für Mathematische Statistik und industrielle Anwendungen. New Configurations: 4 GB RAM 2.4 GHz 17‘ Screen. Configuration:. Further comments on Configurations: No differences between stores - PowerPoint PPT Presentation

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Page 1: ENBIS Challenge 2009 Thomas Mühlenstädt Institut für Mathematische Statistik und

ENBIS Challenge 2009

Thomas Mühlenstädt

Institut fürMathematische Statistik und industrielle Anwendungen

Page 2: ENBIS Challenge 2009 Thomas Mühlenstädt Institut für Mathematische Statistik und

Time

Rev

enue

per

day

Jan Feb Mar Apr May Jun Jul Aug Sep Okt Nov

2000

0060

0000

1000

000

Further comments on Configurations:

• No differences between stores• 864 possible combinations• No empty class• Costumers prefer „medium“ configurations

Configuration:

possible specifications Screen 15” 17” *Battery 4 h 5 h 6 hMemory 1 GB 2 GB 4 GB *CPU 1.5 GHz 2GHz 2.4 GHz *HD 40 GB 80 GB 120 GB 300 GBW Lan No YesBundled No Yes

New Configurations:

4 GB RAM 2.4 GHz 17‘ Screen

Page 3: ENBIS Challenge 2009 Thomas Mühlenstädt Institut für Mathematische Statistik und

Price minimum requirement: £ 300 15“, 4h Battery, 1 GB RAM, 1.5GHz, 40 GB HD

Promotional sales activities:August / September:

Increase of daily sales volume: 100 %Increase of daily revenue: 86 %

December:Increase of daily sales volume: 78 %Increase of daily revenue: 70 %

Time

Rev

enue

per

day

Jan Feb Mar Apr May Jun Jul Aug Sep Okt Nov

2000

0060

0000

1000

000

Price / Revenue:

RAM: 2GB: £ 50 4GB: £ 150HD: 80GB: £ 40 120GB: £ 60

300GB: £ 120Screen: 17”: £ 100

CPU: 2GHz: £ 25 2.4GHz: £ 50Battery: 5h: £ 20 6h: £ 100

Wlan: Yes: £ 20Bundled: Yes: £ 50

New Configurations:

4 GB RAM 2.4 GHz 17‘ Screen

Second and Third Jump:

Marketing, Price?

Store: No influenceTime: Decreasing trend,

depending on memory

Discount?: 5 stores granted discount of approx 30% duringMarch, June, September, December

Page 4: ENBIS Challenge 2009 Thomas Mühlenstädt Institut für Mathematische Statistik und

Time

Rev

enue

per

sto

re

Jan Feb Mar Apr May Jun Jul Aug Sep Okt Nov Dec

050

000

1500

0025

0000

Spatial topics:

Revenue per day in each store:Big differences between stores

Map of LondonLocation of Stores: „big“ stores „medium“ stores „small“ stores

population density plot

Conclusions:• Some stores might be better• Location not always good

Page 5: ENBIS Challenge 2009 Thomas Mühlenstädt Institut für Mathematische Statistik und

Conclusions:

• Configurations:– Offer more hard ware– Also „smaller“ specifications

• Price / Revenue:– Discounts not effective,– Revenue increased two times

• Store locations:– Concentrate on „big“ shops– Some stores might perform better– Some stores are not located very good

• Use of data:– More connotation