Blog

Growth

Should you build or buy a Customer Data Platform?

Customer Data Platforms are a critical piece of the modern data infrastructure. Learn what it takes to build a Customer Data Platform and how to determine whether building a solution or working with a leading vendor is the right path for your organization.

mParticle Product

Introducing Block Data: Diagnose, quarantine, fix, and backfill bad data

Bad data leads to bad decisions, but most teams are unable to address their data quality problems proactively in real time. Today, we are excited to announce Block Data, a new early access feature that helps teams automatically identify and drop unplanned data before it’s forwarded downstream, review and quarantine suspected bad data for investigation, and replay quarantined data once it’s been inspected and modified.

Engineering

Future-proof your customer data strategy: Get ready for iOS 14 privacy updates

There are significant changes coming to iOS relating to user privacy, tracking transparency, and specifically the use of the iOS advertising identifier (IDFA). Since the announcement, mParticle has been collaborating with some of the largest consumer brands in the world to holistically achieve a balance between adhering to compliance obligations and ethical data collection policies to protect consumer choice, while also delivering personalized and relevant information to people globally.

Engineering

Improve mobile app performance with SDK abstraction

Implementing third-party SDKs in your mobile app allows Marketers and Product Managers to get data into the tools they love, but unstable third-party code can impact mobile performance and drain engineering resources. Learn how you can get high quality customer data to your team's favorite tools without having to manage excess third-party code.

Growth

Meet your marketing goals with customer data

Your marketing campaigns will only be as effective as the customer data that you use to power them, especially if leveraging AI/ML. Check out these tips and tricks to get your customer data in the best shape possible and begin accelerating your marketing strategy.

Engineering

Generate in-warehouse predictive audiences

Learn how Jayant Subramanian, data science intern, developed a proof-of-concept machine learning pipeline for predicting user behaviors from data pre-processing to model training and beyond using Snowflake and Apache Airflow.

mParticle Product

Seamless first- and third-party data enrichment

The newly debuted Data Partners Program is a group of enrichment data partners that meet the highest standard of data integration with mParticle’s CDP; these integrations allow third-party data to be collected and connected to the first-party persistent customer profiles existing within mParticle to provide a complete, real-time view of the customer which can then be used to seamlessly connect insights to a growing ecosystem of 250+ outbound integrations.

Engineering

How a CDP supports customer data security

The trust between a customer and brand is the foundation of a strong customer relationship. Part of maintaining that trust is sound customer data management and security. Learn how a Customer Data Platform helps you secure your customer data pipeline so that you can build trust throughout the customer journey.

Growth

iOS 14, third-party cookies, and the future of data-driven marketing

This year, at its annual developer conference, a significant announcement that will have a wide-ranging impact on the future of mobile customer experience was sandwiched between the usual product announcements. The IDFA (the ID present on all Apple mobile devices and used across the martech and adtech industries) would now require explicit user permission to use. This change dramatically limits the usability of the IDFA as a form of universal identity that brands and vendors can use to power marketing, measurement, and everything in between.

Engineering

Test in production with mParticle and Split

Testing with production data allows you to release features with more efficiency and greater confidence, but doing it successfully requires good testing control and data management processes. Learn more about using mParticle and Split feature flags to simplify testing in production.

Engineering

Smartype: Proper event collection at run time

Smartype, a data quality product that translates any data model into type-safe code to help developers ensure proper event collection at run time. Smartype generates personalized SDKs, based on any data model, providing automated code completion and improving data collection and quality at scale. Now available in beta.

mParticle Product

Introducing Developer Tools: Linting and CLI

Announcing the beta release of two new open-source data validations tools for developers: CLI and Linting. Learn how these Customer Data Platform open source developer tools can help you ensure proper event collection at run time and introduce instant data quality protection into your integrated development environments (IDE).