SVG

Deliver trustworthy customer data

Use a comprehensive tool kit to deliver clean, consistent data that gives stakeholders confidence

40,000+ sites and apps run RudderStack

Move fast without breaking things

From "you can’t trust that report..."

Those are the worst five words you can hear from the business as a data person. The consequence is months of low-value data wrangling and cleanup.

...to data even your CFO trusts

With RudderStack's data governance tools, you can ensure quality at the point of collection and quickly fix problems, making customer data the gold standard for your company.

Clean data: behavioral data collection best practices

Learn best practices for collecting clean customer data at the source and enforcing standardized schemas.

Get full confidence in your first-party data

Use RudderStack’s data governance tools to ensure quality at every point in the pipeline, from collection to transformation and delivery.

Ensure quality at capture

Minimize “garbage in” with modern SDKs, standardized schemas, and dev tools for event instrumentation.

Fix bad data fast

Set predefined tracking plans to catch issues in transit, then fix and filter data before it impact downstream teams.

Get control with end-to-end monitoring

Monitor ongoing data quality across all of your customer data pipelines and take action quickly when problems occur.

Case Study

How Grafana increased revenue with high-quality data

‎Learn how Grafana used RudderStack to solve data quality at collection across multiple disparate sources, enabling them to focus on driving revenue instead of tracking down reporting bugs.

Grafana logo
“Our discussions are no longer about opinions. Knowing our data is reliable allows us to increase revenues, save money, and mitigate risks to our business without relying on faulty feedback, intuition, or educated guesses.”

John Marbach, Data Leader at Grafana Labs

Data quality built-in

RudderStack's toolkit enables proactive monitoring and management of data, fixing bad data at the source and creating a consistent event catalog. This allows you to build trust and empower your teams with high-quality, reliable data.

Tracking plans for every source

Tracking Plans use pre-defined rules to proactively monitor and act on non-compliant event data.

Customizable integrations

Write JavaScript or Python to filter, shape, re-map, and enrich events through extensible transformations.

Event catalog and lineage

Get a global view of all events and their lineage in a collaborative, centralized catalog.

Schema violation management

Apply custom rules to drop, quarantine, or fix events that violate schemas in your tracking plan.

Event Audit API

Rapidly troubleshoot missing fields, data types, and formatting errors within your existing workflow.

Semantic events

Map granular historical events to business logic to build unified, re-usable data definitions.

Ship data products that stakeholders trust

One data problem can erode trust in an instant, creating months of work to rebuild trust and maintain relationships with stakeholders. RudderStack's Data Governance Toolkit helps you catch and address problems with customer event data before they become a problem, freeing you to ship data and products your internal customers trust.

Move from maintenance to modeling

RudderStack’s automated data quality tools save you from constant firefighting, freeing you to build predictive models, derive insights, and accelerate value creation.

Bridge the data divide

Make data quality ownership a team sport. Keep everyone on the same page with observability, monitoring, and shared data quality standards.

Move fast with a trustworthy foundation

With the confidence to move faster, your business can make data-informed decisions, accelerate product innovation, and expand revenue channels to drive growth.

More resources on data quality

Blog
Better data, better ML

Learn how to accelerate AI/ML projects with clean data

Case Study

Data quality case study

How InfluxData built a single source of truth with high-quality data

Blog

Building data trust

Learn how to build trust, starting at the point of data capture