2019: Week 31
Chin & Beard Suds Co has a problem in the North of England. A number of customers are not following the normal buying behaviour. We would normally expect a customer to:
But this hasn't been happening. We have convinced our sales team (sorry for some poor data input if you are using certain tools) to send us their first 10 days sales of 2019 to help us spot the trend. We need you and your data preparation skills to help us understand why. Jonathan and I would like to understand:
2. Average time to review from the order being sent
3. Cities where orders not sent
4. % of orders meeting KPI
But this hasn't been happening. We have convinced our sales team (sorry for some poor data input if you are using certain tools) to send us their first 10 days sales of 2019 to help us spot the trend. We need you and your data preparation skills to help us understand why. Jonathan and I would like to understand:
- Average Time for a customer to have their order sent after placing their order
- Average Time for a customer to review their products after we sent their order (for those that have reviewed)
- In how many cities have customers not had their order sent after placing an order
- For orders sent, which % of each cities orders have not been sent out within 3 days or less
Requirements
- Input data
- Create four outputs, one for each answer
- Answer the questions above by Tweeting answers with #PreppinData31
Output
This week outputs do not have to be individual files but answers to our questions instead. Images of our answers below:
1. Average time to send the order: 8 Rows (9 including headers), 2 Columns
1. Average time to send the order: 8 Rows (9 including headers), 2 Columns
2. Average time to review from the order being sent
3. Cities where orders not sent
4. % of orders meeting KPI
The output can be found here for comparison. Don't to forget to fill in our participation tracker and share your solutions with us using #PreppinData on Twitter!