Data Quality Management

Every company, every organization today - regardless of size - has to make decisions in the shortest possible time. To ensure this, high quality, reliable data is a must, but getting it is a challenge.

Grafik: Integrierte Data Intelligence mit CONET

A secure database forms the basis on the way to a comprehensive digitization. Data Quality Management (DQM) is the tool, because the decisive factor is not just the collection of data or the technical infrastructure, but asking the right questions and finding the right answers.

Our Services

Data Governance

Processes, Methods and Technologies

  • Data of high quality, reliable and clear
  • Trusted results
  • Metadata management

Standardization and Systematization

  • Data control and management
  • Usage, storage, processing
  • Information and data flow

Data Values

  • Identifying of business value
  • Ignoring or deleting of unnecessary data
  • The right data in the right place at the right time


BI and DQM Organization

  • Strategy
  • Competence center
  • Information map, data catalog
  • Requirements analysis: Structured data collection, Maturity level assessment, Report and KPI profiles


Data Quality Management


  • Data profiling
  • Requirements analysis
  • Vulnerability analysis



  • Data quality standards
  • Master data and metadata catalogs
  • DQM rules
  • Organization and roles
  • Maturity levels, measurements



  • Data cleansing
  • Connection of DQ systems to operative systems
  • Automated processing

Contact us

CONET offers you individual consulting, from a free and non-binding first discussion as well as one-day workshops for demonstration and initial situation analysis to the complete data intelligence project.

Feel free to contact our experts for questions about data intelligence. The initial consultation is not binding and free of charge.

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