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Laptops Case Study Business Case Objective: • One of the leading retail chains in London having more than 15 stores which sells Laptops and accessories

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Laptops Case Study
Business Case Objective:
• One of the leading retail chains in London having more than 15 stores
which sells Laptops and accessories.
• The company would like to define the product strategy and pricing policies
that will maximize company projected revenues in 2016.
Data Availability:
1. Point of Sales POS Transactions: 2015 Year Laptop Sales information
2. Laptops: Laptop’s configuration & product information
3. Store Locations: Store’s geographical information

Laptops Case Study
Q1. Which are the top 20 laptop configurations that were sold in 2015? Make the ‘20’ dynamic
Q2. For these top ‘20’ laptops, has the average price varied with time?
Q3. Are average prices for these top ‘20’ laptops consistent across all the 15 stores? (use laptops as filters)
Q4. Does laptop sales vary by Month OR Day of the month? (eg: More Sales in December or Low Sales at the
end of the Month)
Q5. Do stores with lower average pricing also sell more?
Q6. Reduce the 864 Configurations to 32 Configuration groups. Do this by making High-Low groups for each
of the 5 configuration parameters. How does the average price for these 32 configuration differ from each
other? (Hint: Use Combined Fields)
Q7. On average how far do customers travel to buy laptops? (Create the distance between Customer and
Store and calculate the average distance travelled at an overall level as well as for each store
Distance = sqrt[square(COSX-OSX) + square(COSY-OSY)]
Q8. Does store proximity help in increasing sales of the store?
Q9. Create a Store-view dashboard to include worksheets related to Store numbers (Use interactive filter)
Q10. How does the Story look?