Connected, by mParticle Episode 9: Hospitality & Tech with Phil Crawford of CKE Restaurants
On this episode of Connected, I sit down with Phil Crawford, Chief Technology Officer of CKE Restaurants to discuss all things customer experience in the Hospitality space.
How to assess your organization's customer data maturity
Successful personalization at scale requires intentional planning around customer data management, process, and tooling. Learn more about customer data maturity and how you can take your organization's data strategy to the next level.
Meet mParticle IDSync: The flexible identity framework you didn’t know you needed
When it comes to resolving cross-channel user events to a single profile, there is no one-size-fits-all approach. mParticle’s identity framework prioritizes flexibility, and empowers data stakeholders to take control over how profiles are created.
Snowflake vs. BigQuery: What are the key differences?
Learn more about the differences between two popular data warehouse solutions, Snowflake and Google BigQuery, and understand how to identify which is right for your team.
How we improved performance and scalability by migrating to Apache Pulsar
We recently made a significant investment in the scalability and performance of our platform by adopting Apache Pulsar as the streaming engine that powers our core features. Thanks to the time and effort we spent on this project, our mission-critical services now rest on a more flexible, scalable, and reliable data pipeline.
New ways to understand in-app behavior with Apple iOS 16
With the latest updates to iOS and Xcode, Apple has introduced changes to its operating system and developer environment that give engineers and product teams creative new ways to uncover user behavior.
How does Azure work? An explanation of Microsoft’s cloud platform
Learn more about cloud platform Microsoft Azure and how it fits into your data infrastructure.
How does Snowflake work? A simple explanation of the popular data warehouse
Learn more about what Snowflake is and how it fits into your data stack.
Enhancements to mParticle’s developer tools make it easier to collect data and ensure quality at the source
mParticle makes it easy for engineers to accurately collect customer data by translating data schemas into production-ready code.
How we reduced Standard Audience calculation time by 80%
mParticle’s Audiences feature allows customers to define user segments and forward them directly to downstream tools for activation. Thanks to our engineering team’s recent project to optimize one of one of our audience products, mParticle customers will be able to engage high-value customers with even greater efficiency.
The engineer’s guide to working with marketers
While developers don’t readily admit it, working with marketers can sometimes be a pain. But when engineers and marketers collaborate effectively on data, amazing things can happen. We’ve assembled this guide to provide engineers with a roadmap for effectively working with their colleagues in marketing and making friends out of frenemies.
Harveer Singh leads Western Union’s digital transformation with data
Chief Data Architect Harveer Singh creates the data and tech roadmap that will help the iconic company emerge as a leader in fintech.
Developer Deep Dive: mParticle Sample Apps
Recently, a cross-functional squad of engineers, PMs and designers at mParticle assembled to produce a labor of love––sample applications. These sample apps help developers implement our SDK in Web, iOS, and Android environments and understand the value of mParticle. Here’s the nuts-and-bolts story behind what they built, the technical choices they made while building these apps, and what they learned along the way.
Implement a CDP with ease using mParticle's sample applications
Developers rarely look forward to integrating third-party systems into their projects. The learning curve to understand vendor platforms is time-consuming and diverts attention away from more interesting product initiatives. Our sample applications address this problem by helping developers understand how mParticle works on various platforms and providing production-quality, copy/paste-ready code to implement our CDP with ease.
How we cut AWS costs by 80% while usage increased 20%
How do you replace a tire while driving on the highway? This is what it felt like to re-architect the engine behind one of our most heavily used and relied upon products, the mParticle Audience Manager. Here's how we optimized this critical piece of our architecture and positioned it to play a key role in the next phase of our growth, all while customer adoption and usage steadily increased.