Organizations spend millions on Snowflake, Databricks, and Splunk - moving, storing, and processing data that shouldn't have moved in the first place. Data Gov Ops fixes this at the source.
Three perspectives, one problem: uncontrolled data costs and risks
Snowflake bills growing 30%+ annually. Databricks compute costs unpredictable. Splunk licensing based on data volume you can't control. You're paying for data that delivers no value.
GDPR, HIPAA, CCPA, and data sovereignty requirements are manual processes. Audits reveal gaps months after violations occur. One breach away from headlines.
Data strategy is reactive. Teams build ad-hoc integrations. No visibility into data quality, lineage, or governance. Technology decisions driven by legacy constraints.
Automate data governance at the source - not as an afterthought in your warehouse
For CFOs
Filter noise, duplicates, and bad data before it hits expensive platforms. Pay only for data that delivers value.
For CISOs
PII masking, data sovereignty, and regulatory compliance enforced at the source. Audit trails from creation to consumption.
For CIOs
Unified data governance across hybrid and multi-cloud. Enable AI and analytics with clean, governed data.
Set PII masking, data sovereignty, compliance rules, and cost thresholds in declarative configuration.
Lightweight agents enforce policies at every data origination point - devices, applications, databases, cloud services.
Bad data, duplicates, and non-compliant records filtered at source. Only governed data reaches platforms.
Every governance action logged immutably. Complete audit trail from creation to consumption.
We'll show you how Data Gov Ops reduces platform costs, automates compliance, and enables strategic data initiatives.