Data Services > Data Clean-up

Data Clean-up

Employing standards within a dataset or across multiple datasets is an important key to achieving true data quality. Without standards, data can be difficult or impossible to find, let alone use. In addition, if duplication within datasets becomes rampant, it will only diminish the usefulness of the data.

Our Data Clean up services uses sophisticated tools to quickly identify areas that require standardization and remedy the problem.

Profile Standards

Our data quality experts use DataVera HealthCheck to provide a quick and thorough analysis on the conformity to standards with the data. It is used to identify the scope of the problem and areas of possible concern.

Auto-Standardize

• Our Energy sector data specialists apply our DataVera tools to standardize the data to your standard of choice (IEEE, ISO, PPDM, POSC, etc.)
• Source data sets are standardized retaining the original values for audit and reference
• Working with you, our experts help you validate and approve the cleanup up effort without having to look at every value

Data Cleansing

For those elements that cannot be standardized automatically, data cleansing is an efficient way to finish the standardization effort. These new standards automatically are applied to any other data sets.

• Standardizes the individual source data sets
• Can connect to multiple data sources and formats
• Allows experts to rapidly change standards while maintaining an audit trail
• Enables business decisions on setting global standard rules and applying them immediately
• Enables technical resources to fix and prepare ‘key fields’

What’s Your Data Telling You™

Traditional efforts to clean-up databases rely on manual processes to look at the data, fix the data and then apply the fixes to production. This often takes multiple spreadsheets and numerous data scripts to fix the problem. When using these manual methods, decisions are not automatically shared with the whole project and record-by-record standardization takes a significant amount of time.

We use data quality best practices and leverage our advanced tools to make data cleanup easier.

Contact us for more information.