Qm - Module 4 - Data Analysis

Front 1

What is data analysis concerned with?

Back 1

Seeking illumination, not support from a set of numbers.

Front 2

What are the management problems in Data Analysis?

Back 2

1. Statistical gap - mgr. needs methods to detect patterns. Statistics does not provide.
2. Lack of confidence - fear of numbers, etc.
3. Overcomplication by experts - jargon, complicated methods, complex reports.

Front 3

What are the guidelines for Data Analysis?

Back 3

1. Reduce the data
2. Re-present the data
3. Build a model
4. Exceptions
5. Comparisons

Front 4

Steps in re-presenting data?

Back 4

1. Round to 2 effective figures
2. Rows and columns in size order
3. Interchange rows and columns, when it makes sense.
4. Use summary measures
5. Minimal white space and lines
6. Clear labeling
7. Use verbal summary

Front 5

What is the aim of a model in Data Analysis?

Back 5

to find a pattern in the numbers and some way of summarizing them.

Front 6

A good model can be used for ...

Back 6

1. a Summary
2. Spotting exceptions
3. Making comparisons.
4. taking action.

Front 7

What are the possible actions with Exceptions?

Back 7

1. Correct if the data is in error
2. Disregard - esp. if beyond mgmt. control
3. Action by management
4. Possibly the model is not sufficient.

Front 8

What step must be taken before dealing with Exceptions?

Back 8

Must discern the pattern in the data.