Question: Identify the data questions and data sources. Pick the business questions you identified last week, and translate them into data questions by applying the learnings
Identify the data questions and data sources. Pick the business questions you identified last week, and translate them into data questions by applying the learnings from this week. Then, identify the likely data sources for each question.
| Business Questions | ..translated into data questions | ..and potential data sources identified |
| How many high value customers did they lose? | Compute total churn last month & filter for high value customers | Customer activity data |
| Why do most of the customers leave? | Analyze exit VOC of churned customers. Do casual analytics of driving factors | VOC survey, Customer transactions, CRM data |
| What are the satisfied customers most happy about? | Analyze survey feedback of customers with highest VOC. Pick top factors. | VOC survey, Customer transactions, CRM data |
| What customers might churn next? | Identify top factors that cause customers to churn; apply on active ones & then predict | VOC survey, Customer transactions, CRM data |
| Which product will customers buy next? | Analyze historical purchases & sequence by customer types; apply & predict | Customer transactions, CRM data, Product data |
~ swetha
Import the business case data & impute missing values.
| Customer ID | Data generated by SPSS by missing Value | SPSS Method name used to Replace Missing Values |
| 6 | ||
| 9 | ||
| 15 | ||
| 47 | ||
| 73 | ||
| 91 |
I need someone that understands Saas, and is familiar with imputations. The business case is the table box above for reference and for the second table box, I have to impute numbers
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