Customer Data Quality Management

Quality data is very important for decision-making and planning. The goal of building a data warehouse is to have a single source, integrated data that can be used to make business decisions. Data is usually sourced from a number of disparate systems, and it is important to ensure that the data is standardized and cleansed before loading into the data warehouse.

Techwave comprehends that the state of completeness, consistency, validity, timeliness & accuracy makes data appropriate for use. To achieve this, level of conformity, data quality processes and the correct technology needs to be implemented.

What we do?

  • Data Quality assessment
  • Analyze data sources and size
  • Business rules validation
  • Identify patterns, consistency and other information
  • Enrich incomplete data
  • Identify duplicate data
  • Data contamination
  • Knowledge based methods for cleaning.

Sample Solution