What are business data quality rules?

Data quality rules are the requirements that businesses set to their data. To define the format the data should comply with and the dependencies that should exist among data elements. To serve as references for a business to measure and check the quality of their data against these requirements.

What is data quality rules?

Data quality rules (also known as data validation rules) are, like automation rules, special forms of business rules. They clearly define the business requirements for specific data. Ideally, data validation rules should be “fit for use”, i.e. appropriate for the intended purpose.

How do you implement data quality rules?

Data Quality – A Simple 6 Step Process

1. Step 1 – Definition. Define the business goals for Data Quality improvement, data owners / stakeholders, impacted business processes, and data rules.
2. Step 2 – Assessment.
3. Step 3 – Analysis.
4. Step 4 – Improvement.
5. Step 5 – Implementation.
6. Step 6 – Control.

Which is an example of a data quality rule?

For example, a rule for valid values of Marital Status Code for Customers might look like: Business Data Quality Rule: The Marital Status Code may have values of Single, Married, Widowed, and Divorced. It may not be left blank. A value must be picked when entering a new customer.

How to use data for your business purposes?

One of the crucial rules of using data for business purposes is as simple as this: the quality of your decisions strongly depends on the quality of your data. However, simply knowing it isn’t extremely helpful. To get tangible results, you should measure the quality of your data and act on these measurements to improve it.

How does data quality services work in Excel?

Data Quality Services functionality has been integrated into Master Data Services (MDS), so you can perform de-duplication on source data and master data within the Microsoft SQL Server 2014 Master Data Services Add-in for Microsoft Excel.

How does the quality of your data affect your business?

For more information, check our data management services. One of the crucial rules of using data for business purposes is as simple as this: the quality of your decisions strongly depends on the quality of your data. However, simply knowing it isn’t extremely helpful.