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

2. Further comments on Configurations: No differences between stores 864 possible combinations No empty class Costumers prefer „medium“ configurations Configuration: possible specifications Screen15”17” * Battery4 h5 h6 h Memory1 GB2 GB4 GB * CPU1.5 GHz2GHz2.4 GHz * HD40 GB80 GB120 GB300 GB W LanNoYes BundledNoYes New Configurations: 4 GB RAM 2.4 GHz 17‘ Screen

3. 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 % Price / Revenue: RAM:2GB:£ 504GB:£ 150 HD:80GB:£ 40120GB:£ 60 300GB:£ 120 Screen:17”:£ 100 CPU:2GHz:£ 252.4GHz:£ 50 Battery:5h:£ 206h:£ 100 Wlan:Yes:£ 20 Bundled:Yes:£ 50 New Configurations: 4 GB RAM 2.4 GHz 17‘ Screen Second and Third Jump: Marketing, Price? Store:No influence Time:Decreasing trend, depending on memory Discount?:5 stores granted discount of approx 30% during March, June, September, December

4. Spatial topics: Revenue per day in each store: Big differences between stores Map of London Location of Stores: „big“ stores „medium“ stores „small“ stores population density plot Conclusions: Some stores might be better Location not always good

5. 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