Data Master
Build a scalable, cohesive data strategy with adaptable data plans everyone can get behind. Create a pipeline of consistently clean, accessible data for all stakeholders and downstream systems with Data Master.
![Chow Now Logo]()
![Jordan Plecque]()
The data plan is far-and-away my favorite feature in mParticle. It helps us vet and validate data in a centralized tool. Because as long as we know that the data in mParticle is accurate, complete, and consistent, then it’s easy to send that data downstream using mParticle’s integrations.
![Jordan Plecque]()
![Chow Now Logo]()
![Jordan Plecque]()
The data plan is far-and-away my favorite feature in mParticle. It helps us vet and validate data in a centralized tool. Because as long as we know that the data in mParticle is accurate, complete, and consistent, then it’s easy to send that data downstream using mParticle’s integrations.
![Jordan Plecque]()
What’s included?
Centralized repository of all customer data points.
Catalog
Collaborative, adaptable data schemas that define how your customer data is collected, managed, and validated.
Plan
Monitor every facet of customer data in real time, including data source type, business terms, and errors with detailed data validation and schema violation statistics.
Live Stream
Data quality enforcement rules allow you to identify and address unexpected, incorrect, and unplanned data that doesn't conform to your data plan.
Validation
How data master helps
Stop bad data at the source
Establish unified data conventions across teams
Create a shared understanding of how all your customer data points are collected, named, and processed. Review all data points collected in one place with a centralized data dictionary.
Empower your teams with the data they need
Create a collaborative data plan that defines how your customer data is collected, managed, and validated. Adapt your data plans over time and track data plan evolution with a granular changelog.
Validate your data pipeline
Identify and address unplanned and invalid data points that don’t conform to your Data Plans with data quality enforcement rules and validation reporting. Automatically validate the data your applications and digital properties are sending matches what you expect.
