Inaccurate data may cost from $1 to millions. Auditing data is a must and accuracy needs to be strictly ensured. Data capture, data transfer, data structure conversion, automated or semi-automated solutions such as Spider, OCR and CCR among others are examples of processes that could have an effect on the original data's integrity and accuracy.
We utilize a proven six-tier processes to identify inaccurate and corrupted data as follows:
Defining
Locating
Profiling
Standardizing
Matching & Merging
Deploying
Audit all different data types and formats whether manually entered or software generated
Crosscheck data cleansing rules throughout the database
Extensive know-how and experience in business data handling and database management
Maintain accurate, consistent and high-quality data