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Your AI Needs Operational Data.
Security Blocks it.

Every operational database holds patterns that could transform your analytics, power your AI, and drive competitive advantage. But security was never designed into data movement, so PII blocks access, sensitive fields contaminate tables, and critical use cases remain impossible.

Cloud-only tools create sovereignty violations
SaaS solutions require sending sensitive data to external clouds, violating data residency requirements and regulatory mandates
Sensitive data trapped in databases
Tables with PII sit untouched because there's no way to mask SSNs, encrypt credit cards, or tokenize emails before moving downstream
Manual protection creates exposure
Raw operational data gets copied to Snowflake, S3, and Tableau with PII intact because teams don't realize which columns are sensitive
IT bottlenecks kill momentum
Data access requests sit in JIRA for weeks while IT validates security, creates credentials, and documents approvals
Schema changes break everything
Every database change requires manual pipeline fixes across multiple teams, causing cascading failures
No visibility or lineage
Teams can't verify data freshness, completeness, or transformations applied, making every analysis suspect
Pipeline duplication creates chaos
Multiple teams extract the same data with different tools and logic, creating conflicting metrics
Cloud-only tools create sovereignty violations
SaaS solutions require sending sensitive data to external clouds, violating data residency requirements and regulatory mandates
Sensitive data trapped in databases
Tables with PII sit untouched because there's no way to mask SSNs, encrypt credit cards, or tokenize emails before moving downstream
Manual protection creates exposure
Raw operational data gets copied to Snowflake, S3, and Tableau with PII intact because teams don't realize which columns are sensitive
IT bottlenecks kill momentum
Data access requests sit in JIRA for weeks while IT validates security, creates credentials, and documents approvals
Schema changes break everything
Every database change requires manual pipeline fixes across multiple teams, causing cascading failures
No visibility or lineage
Teams can't verify data freshness, completeness, or transformations applied, making every analysis suspect
Pipeline duplication creates chaos
Multiple teams extract the same data with different tools and logic, creating conflicting metrics

IT bottlenecks kill momentum
Data access requests sit in JIRA for weeks while IT validates security, creates credentials, and documents approvals
Schema changes break everything
Every database change requires manual pipeline fixes across multiple teams, causing cascading failures
No visibility or lineage
Teams can't verify data freshness, completeness, or transformations applied, making every analysis suspect
Pipeline duplication creates chaos
Multiple teams extract the same data with different tools and logic, creating conflicting metrics
Cloud-only tools create sovereignty violations
SaaS solutions require sending sensitive data to external clouds, violating data residency requirements and regulatory mandates
Sensitive data trapped in databases
Tables with PII sit untouched because there's no way to mask SSNs, encrypt credit cards, or tokenize emails before moving downstream
Manual protection creates exposure
Raw operational data gets copied to Snowflake, S3, and Tableau with PII intact because teams don't realize which columns are sensitive
IT bottlenecks kill momentum
Data access requests sit in JIRA for weeks while IT validates security, creates credentials, and documents approvals
Schema changes break everything
Every database change requires manual pipeline fixes across multiple teams, causing cascading failures
No visibility or lineage
Teams can't verify data freshness, completeness, or transformations applied, making every analysis suspect
Pipeline duplication creates chaos
Multiple teams extract the same data with different tools and logic, creating conflicting metrics
Cloud-only tools create sovereignty violations
SaaS solutions require sending sensitive data to external clouds, violating data residency requirements and regulatory mandates
Sensitive data trapped in databases
Tables with PII sit untouched because there's no way to mask SSNs, encrypt credit cards, or tokenize emails before moving downstream
Manual protection creates exposure
Raw operational data gets copied to Snowflake, S3, and Tableau with PII intact because teams don't realize which columns are sensitive

The Consequences

GDPR audits reveal PII in 14+ unexpected locations

Many dashboards break from a single schema change

4 engineers doing nothing but pipeline maintenance ($800k/year)

Finance, Sales, and Marketing report different revenue numbers from the same source

Datenmanagement in großem Maßstab

Zugriffs- und Berechtigungsmanagement für Daten auf Cluster-, Einzel- oder Teamebene.