August 2006 meeting reading guide
Titles
Enterprise Knowledge Management: The Data Quality Approach by David Loshin, published by Morgan Kaufmann, © 2001, ISBN:0-12-455840-2
Three chapters will be discussed:
- 15 – Root Cause Analysis and Supplier Management
- 18 – Building the Data Quality Practice
Chapter 15 – Root Cause Analysis and Supplier Management
- What is root cause analysis?
- Describe examples or situations in your company that illustrate the difference between symptoms and causes.
- What are Loshin's five general steps in determining a root cause?
- What are the two parts of root cause analysis?
- What is the road map for tracing incorrect data back to its origin?
- When debugging a problem, what are the two ways Loshin segregates the problems and why?
- What is the purpose of the correction report? Any comments on the template provided for the correction report?
- Describe times when your company only addressed symptoms and when your company addressed root causes. What were the outcomes and impact to the business – long term and/or short term?
- What is Loshin's definition of supplier management?
- What is the key to supplier management?
- Any examples of how you have used supplier management in your company?
Chapter 18 – Building the Data Quality Practice
- How many steps does Loshin describe in building the data quality practice and what are they?
- What is a data ownership policy and why is it important?
- What does a data quality scorecard provide?
- What are some of the impacts of low data quality?
- Has your company built a data quality practice? Did you include additional areas not covered in this chapter? Did you not include areas mentioned in this chapter? What would you do differently next time?
- What did you learn from reading these two chapters?
- What action are you going to take as a result of this reading assignment?