Use case · Data Gov Ops

Stop paying for bad data

Organizations spend millions moving, storing, and processing unusable data. Data Gov Ops automates governance at the source, cutting costs.

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The hidden cost of bad data governance

Governance failures impact the entire organization.

Paying for bad data

Organizations pay Snowflake, Databricks, and Splunk to store and process data that shouldn't have moved in the first place. Bad data, duplicates, and noise consume enormous amounts of platform spend.

Millions wasted on bad data

Compliance violations

GDPR fines, HIPAA violations, and data sovereignty breaches happen because governance is manual and reactive. Audits reveal gaps months too late.

Fines + reputational damage

No governance visibility

Organizations can't prove where data came from, what happened to it, or who accessed it. Audit trails start when data lands in S3, too late.

Failed audits, litigation risk

Introducing

Data Gov Ops

Just as DevOps automated software deployment, Data Gov Ops automates data governance.

Policy at source

Apply customer-defined routing and transformation policies before data moves, then validate the results against your requirements.

Set once, applied at each source

Cost control upstream

Filter out noise, duplicates, and bad data before it hits expensive platforms. Only clean, governed data reaches Snowflake and Databricks.

Cost and risk reduction

Transformation records

Capture origin and transformation metadata so teams can review what happened from creation to consumption.

Evidence for review

How Data Gov Ops works

  1. 01

    Governance configuration

    Set handling, routing, and residency requirements in declarative configuration.

    YAML policies support repeatable reviews

  2. 02

    Deploy to selected nodes

    Apply policies at selected data origination points such as devices, gateways, applications, and databases.

    Consistent configuration across connected nodes

  3. 03

    Filter before data moves

    Filter bad data, duplicates, and records that break your policies at the source.

    Significant cost reduction

  4. 04

    Review operational records

    Inspect workflow events and transformation metadata as inputs to your audit process.

    Customer-validated evidence trail

Learn more

Data governance in big data: a practical guide

Key strategies, tools, and best practices for data governance.

Security and governance

How Expanso enforces security and compliance at the source.

Ready to get started?

See how Data Gov Ops reduces costs and helps prevent compliance violations.

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