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dq framework is a robust Data Quality Framework
enabling quality measures by-design in every project.



Why dq framework?  How it works? 
 
Simple and robust

  • Generic framework
  • Addresses the enterprise data quality needs of all projects

  • Effortless setup
  • Get started right away with your own Data Quality Framework without any development overheads

  • SQL-Driven automation
  • Easy integration with SQL database projects i.e, MS-SQL, Azure SQL, AWS RDS
    Trusted data ecosystem

  • DQ by-design
  • Enabling data quality measures by-design in every project

  • Sets reference
  • Creates trustworthy Data Quality reference among the stakeholders and team members.

  • Compliance
  • Supports data governance initiatives to embark on compliance
     
    Harmonized

  • Standardized
  • Available organization-wide for all projects, facilitating an efficient and effective data validation process

  • Boost team efficiency
  • Eliminate costly data discrepancies, automate operations in order to boost company's income and productivity

    Custom insights

  • Integration
  • Insights using SQL views, facilitates DQ score, integrates well into reporting tools

  • Streamlined monitoring
  • SQL views for continuous monitoring of data quality across your data domain


    Our motto is that every organization reports on trusted data.