Chapter 3, Problem 1IQ

Explanation of Solution

Data quality:

• Data quality is refers to a measure of the condition of data based on factors like accuracy, completeness, consistency, reliability and whether the data is up to date.
• The quality depends on the context in which it is used.
• Good data quality exists when data is suitable for the use case at hand.

Data management:

• Data management includes all disciplines related to managing the data as a valuable resource.
• It is an administrative process that incorporates acquiring, validating, storing, protecting and processing the data.
• Data management ensures the accessibility, reliability, and timeliness of the data to the users.

Explanation of Solution

Experience in data quality and data management:

“Yes”, one can have an experience in data quality and management.

Reasons:

• The use of data management leads to high-quality of data.
• Improved data quality results in decision-making across an organization.
• Good data decreases risk and it results in consistent improvement.

Explanation of Solution

Data quality problem:

“Yes”, one might encountered the data quality problem.

Reasons:

• It may due to manual data entry errors. Humans can make errors and even small data set manually entered by humans likely to contain errors.
• Lack of complete information leads to data quality problem.
• In some cases, one can find data ambiguity, which leads to data quality problems.

Explanation of Solution

Solving data quality problem:

• The common data quality problem issues it that missing information.
• To solve this issues, one might understand the reason behind why the values are missing.
• The next step is to track the data lineage of the data source to identify the systemic issues during data capture.
• Knowing the source of missing value will often reduce to solve the problem.