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.
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
Analysis
- Data profiling
- Requirements analysis
- Vulnerability analysis
Design
- Data quality standards
- Master data and metadata catalogs
- DQM rules
- Organization and roles
- Maturity levels, measurements
Transformation
- 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.
Related Solutions
Follow us