IT landscape assessment

• Free inventory of your existing IT infrastructure and identification of areas for action

Data quality check

• Inventory of existing data quality for important use cases
• Verification of data consistency
• Identification of key data sources
• Validity check
• Duplicate and completeness detection

Data quality promise

• Targeted cleansing and improvement of existing data for more precise analyses and better decisions
• Monitoring: Establishment of checks for data consistency and validity

Data integration​​​

• Integration of basic systems such as ERP, control systems or simple machine data
• Connection of complex data sources and databases and mapping of ETL processes

Data privacy and security

• Vulnerability scan: Targeted identification of potential vulnerabilities in your IT infrastructure
• Risk analysis: assessment of risks and their potential impact on your business
• Action plan: Clearly structured, prioritized recommendations for improved data security