Blog

data foundation

Data Master 2.0: Create a data flywheel

Introduce total data quality management and enforcement to your data foundation with new Data Master features and Calculated Attributes. With Data Master and Calculated Attributes, establish a source of better data that will create a customer data flywheel, where data quality and data’s impact on the product cycle will continuously improve over time.

Craig Kelly – January 29, 2020
Ensure data quality

Data Master 2.0: Ensure data quality

New Data Master features, now in Early Access, provide teams with an easy way to stop bad data at the source with data frameworks, data validation, and data quality enforcement.

Rashel Shehata – November 19, 2019
looker partners

Connect your Looker Data Actions to mParticle

Take action on your Looker insights by connecting data to mParticle with Looker Data Actions.

Kale Bogdanovs – November 05, 2019
user activity monitoring

Activity Overview and new Audience features

The new Audience Overview, Nested Audiences, and Forward-Looking Audiences provide teams with the insight and capabilities to make better, data-driven decisions and improve engagement.

Ben Hoxie – October 22, 2019

Data is a team sport: Q4 feature announcements

Bad news for the rogue product manager, the lone wolf data scientist, the intransigent head of infosec, and the obstinate engineering manager: Data is a team sport. Learn about the forthcoming releases designed to help your whole team do more with more of your data.

Craig Kelly – October 09, 2019
how to measure video performance

Measure video performance with Media SDK

mParticle's Media SDK offers a single solution to measure video performance across platforms with a quick and easy setup. With Media SDK, you get a unified media session API that maps to leading client-side media analytics services, a single data source for all your content engagement data, and compatibility with all major media players.

Michael Kleeman – October 08, 2019
event driven architectures

Real-time event processing with Kafka

Learn how mParticle's Kafka integration can help you stream customer data to systems and applications with event data forwarding, advanced filtering and compliance, distributed event notification, and event sourcing.

Kale Bogdanovs – September 30, 2019
mParticle and Responsys logos separated by a green arrow pointing to the right.

Create personalized campaigns with Responsys

Power your Oracle Responsys communications with rich user data, without the hassle of manual file uploads.

Haarthi Sadasivam – September 25, 2019
user-aliasing-API

User Aliasing API: Clarify customer journeys

mParticle’s User Aliasing API allows brands to programmatically merge anonymous user events with their logged-in events, providing brands with a complete, accurate view of their customers’ profile and event journeys as they move from being anonymous to authenticated across every touchpoint.

Shabih Syed – July 17, 2019
Mobile tag management

Google Tag Manager: Scalable web and mobile tag management

The new Google Tag Manager integration from mParticle helps product and marketing teams easily launch pixels and trackers without pre-built connectors across web and mobile applications and collect customer data consistently and compliantly, at scale.

Shabih Syed – July 17, 2019
website sdk

Support for self-hosting and module bundler

Learn how the newly-available self-hosting and module bundler support provide development teams with finer-grained control over their web apps, a more idiomatic integration for today's web ecosystem, increased flexibility, and improved performance.

Sam Dozor – July 17, 2019
Data warehousing snowflake

Load data to Snowflake data warehouse

Learn how mParticle's Snowflake integration can help you warehouse your customer data more efficiently and securely at scale with automated data exports, advanced filtering and compliance, and easier querying.

Craig Kelly – April 29, 2019