- Build trust by aligning stakeholders
Increase confidence in your customer data by fostering a culture of trust across all data stakeholders.
- Say no to bad data
Avoid costly cleanups, reduce schema errors, and increase developer velocity.
- Democratize your customer data
Remove the black box surrounding your customer data and increase transparency with marketers, product managers, and data scientists.
6 tips for building a Customer Data Platform tracking plan
The value of your Customer Data Platform depends on the quality of data that you get into it. Here are six implementation tips you can follow to set yourself up for success.
What is a data tracking plan, and why should engineers care?
"Wait, why do we need this data again?" "Was that attribute supposed to use snake or camel case?" Data tracking plans keep everyone in your organization aligned on your data efforts, from the high-level strategy to the nittiest, grittiest details.
Leverage mParticle’s data quality developer tools to create, implement, and QA a data plan
mParticle makes it easy to create a robust data plan, implement it with ease, and seamlessly check incoming events to prevent bad data from making its way to downstream systems. Here, we walk through all three steps in a sample application.
Debug customer event collection in real time
If you are responsible for implementing data tracking plans across your apps and websites, you’re probably familiar with how tedious and time consuming it can be to track down data collection bugs when they pop up. See how to use mParticle’s Live Stream to simplify your team’s testing and debugging cycles.
Improve data quality with mParticle’s data planning infrastructure
Data planning is the foundation of any mature data strategy. But without the ability to translate a data plan into views conducive to each team's needs, it's hard to turn planning into action. Learn how mParticle's data planning infrastructure can help you get more out of your data plan.