Data Integrity Testing

Data integrity refers to the quality of the data in databases and is the measurement by which users examine data quality, reliability, and usefulness. Data integrity testing verifies that converted data is accurate and functions correctly within a given application.

Testing data integrity involves:
1. Ensuring the compatibility of data with old hardware, old versions of operating systems, old data and with different interfaces;
2. Verifying whether a blank value can be retrieved from the data;
3. Verifying that default values are saved in databases;
4. Verifying that each value of a single set of data is fully saved to the database;
5. Making sure that data in data tables can be modified and deleted
6. Running data tests for all data files, including clip art, tutorials, templates, etc.

Testing data integrity is the only way to ascertain that stored data is accurate, complete, and consistent. Data quality tests should be run on a regular basis because backed up and stored data can change over time.

Typically, data entry services focus more on “deliverables” such as data analysis, technical specifications, and data conversion than they do on data testing. While this may be true for other data entry companies who may not have the resources needed for efficient data testing, it is certainly not the case at Capital Typing’s Data Entry Services and Market Research Department. The expertise and efficiency of our data entry project managers and our data entry specialists are unmatched by other outsource data entry businesses, and we employ over 25 well-trained offshore outsourcing data entry operators.

A number of automated tools exist for data integrity tests. Automated data verification tests are very useful when data tests have to be run repeatedly because manual verification tasks can be very time-consuming and tedious for data entry clerks. In addition, automated data verification tests can be carried out simultaneously, on different machines, while manual tests must be run sequentially. However, manual data quality testing is less costly and allows users to perform random data testing, increasing the odds of finding real user bugs.

The ideal solution is to combine both data testing methods. Data entry project managers at Capital Typing’s Data Entry Services and Market Research Department weigh the advantages and disadvantages of automated vs. manual data verification processes for each client project, adopting the best approach for each project. Other data entry companies who do not have the training, experience, or resources that are available to Capital Typing, or simply cannot afford to analyze individual clients’ needs the way we do.

Call us today and see for yourself why you should outsource data entry and market research operations to Capital Typing. Discover our complete range of office support solution services and learn how our various departments will work together to meet all of your data management requirements in a timely and cost-effective manner.