Data Quality Practices to Data Governance Programs

Data Profiling

Data profiling, also called data archaeology, is the statistical analysis and assessment of data values within a data set for consistency, uniqueness and logic

  • Profile full volumes of data, not just samples
  • Browse and interrogate data and metadata
  • Discover unknown data entities or unusual values
Data Cleansing

Data cleansing is the process of altering data in a given storage resource to make sure that it is accurate and correct.

  • Detect and eliminate formatting errors
  • Build business rules to keep data formatted consistently
  • Transform and improve the quality of your consumer data
Data Monitoring

Data monitoring is the process of proactively reviewing and evaluating your data and its quality to ensure that it is fit for purpose.

  • Control your data quality with a platform designed for business users
  • Monitor your data quality and receive alerts if quality drops
  • Generate visual dashboards and reports