Customer Data Quality Maintenance
Posted by: Brad
Tags: Business, customer data hub, customer data quality, data, data quality
Managing customer data is quite a crucial job because the data should be accurate when used to create quality reports for the company. Keeping the customer data quality high is quite a challenging job for a data encoder because a single error can really affect the records of the company.
Data such as names, addresses, ages, etc. that are spoken, written, and/or encoded in the computer system are prone to changes and even errors. Errors and changes to the data can be reduced but they can’t be entirely eliminated. All companies deal with data and at the human level there will always be some mistakes when managing data. However, computer systems today are minimizing the amount of errors that occur.
Maintaining customer data quality with the use of a computer system depends on the rules and constraints enforced in the database to ensure data reliability and accuracy. It is quite easy to determine the changes or errors because the computer system will alert the database users when an error occurs. Many computer systems have an online search feature that allows the database to search for customer data and identify the possible matches to it and check whether a certain customer name exists in the company’s database.
Sometimes maintaining data quality is an issue because of data entry and processing. One common problem is known as granularity. Sometimes data models are not clearly structured, such as telephone numbers and address are encoded into a single unit instead of separate fields. Sometimes data being entered in the system does not even exist in the real world thus leading to faulty data.
Other problems regarding data entry and database models include mistakes in data entry. These can often be attributed to wrong spelling, entering the data in the wrong field, spilling over of data from one database field to another, having a lot of variations of data abbreviations, and misspelling because of phonetics. In short there are a lot of ways to mess up your data.
In order to address all these possible issues and minimize errors as much as possible, try the following ideas: Try having proper design with the forms and other information sheets that are used by the customers. Try providing data standards and formats to maintain consistency in the database and try conducting training for the personnel who are directly encoding and accessing the data of the customer. The customer data quality of your company really matters.