Term
| What are the three pillars of a data scientist/mining |
|
Definition
Business/domain understanding
statistics understanding
coding |
|
|
Term
| what are the steps to creating business value |
|
Definition
identifying high priority business opportunities and problems
mining data to transform the data into actionable information
acting on the information
measuring the results |
|
|
Term
| If the ___ group has a higher response rate than the control group, it indicates the model is ___ |
|
Definition
|
|
Term
| if the ___ group has a higher response rate than the holdout group, it indicates the ___ is working |
|
Definition
|
|
Term
| what are the 6 parts of the business side of a data miner |
|
Definition
1. prioritize business problems that need to be acted upon
2. figuring out what data needs collecting
3. figuring out for how long certain data needs to be collected
4. deciding what reports would empower managers to make better decisions.
5. making it easier for managers to understand reports and take actions
6. measuring the results of actions |
|
|
Term
| What does CRISP-DM provide |
|
Definition
1. step by step blueprint for conducting a data mining project
2. specified set of deliverables for each phase of a project
3. set of documentation standards in terms of what info should be included |
|
|
Term
| What are the phases of CRISP-DM |
|
Definition
1. business understanding
2. data understanding
3. data preparation
4. modeling
5. evaluation
6. deployment. |
|
|
Term
| what are some good followup questions to a campaign |
|
Definition
did it reach and bring in profitable customers
did a higher model score indicate a higher response rate?
were these customers retained as well as was expected? |
|
|
