Q. What principle should be applied when determining the extent of data cleansing for a data warehouse?

View solution

Q. What fundamental question must be answered when deciding which data to cleanse?

View solution

Q. Where in the data flow process can data cleansing be applied?

View solution

Q. What is a drawback of cleansing data in the staging area?

View solution

Q. Why is cleansing data in the source systems a complex task?

View solution

Q. What factors should you consider when deciding whether to use vendor tools, integrate cleansing toolkits with ETL tools, or use in-house programming for data cleansing?

View solution

Q. What is the first step in assessing the extent of data pollution before applying data cleansing techniques?

View solution

Q. How can you detect the presence and extent of data pollution in your environment?

View solution

Q. What is the purpose of a data quality framework?

View solution

Q. Who should be responsible for data quality in source systems?

View solution

Q. What is the main challenge in operational systems regarding data quality responsibilities?

View solution

Q. What is the role of a steering committee in data quality initiatives?

View solution

Q. What responsibilities does a Data Expert have in the data quality framework?

View solution

Q. What is the role of a Data Correction Authority in the data quality framework?

View solution

Q. What factors should determine how much data to cleanse in a data warehouse?

View solution

Q. How should you prioritize data elements for cleansing in the data warehouse?

View solution

Q. How should you handle external data obtained for the data warehouse in terms of data quality?

View solution

Q. What is the first step in the overall data purification process?

View solution

Q. What should organizations consider when it comes to data quality?

View solution

Q. What is a practical tip for ensuring data quality?

View solution