mParticle acquires Vidora, AI personalization platform for customer data
Vidora’s Cortex platform enables brands to predict future user behavior, and leverage those insights in their marketing tools to proactively take action.
The great migration: How to navigate the transition from Google Analytics Universal Analytics to GA4
On July 1, 2023, Google will be sunsetting their widely adopted Universal Analytics solution, recommending that users migrate to their new offering, GA4. This article discusses how Universal Analytics and GA4 are different, what the migration means for the industry, and how your team can navigate the transition.
How BD myShopi improved personalization while protecting consumer data privacy
BD myShopi connects consumers with exclusive deals from Europe's leading retailers. Learn how they leverage mParticle to present consumers with relevant offers while also supporting data privacy.
3 Tips on Growing a Startup from Nick Warner at Route
The future of every business is dependent on improving the customer experience. The first step to improving that experience is to know your customer. We spoke to one of the rising stars in growth hacking to learn his strategy.
Connected, by mParticle Episode 3: Leveraging emerging platforms with Miguel Navarro
In this episode of the Connected, by mParticle podcast we welcome Miguel Navarro, digital transformation leader and patented inventor.
Why I’m Here — I’ve joined mParticle to build the future of customer relationships
Access to accurate customer data, and the ability to turn it into actions that benefit customers, is the future of customer relationships. In this post, Katie Cerar discusses how she'll be helping brands build that future as Head of Product Strategy at mParticle.
How to implement an mParticle data plan in an eCommerce app
This sample application allows you to see mParticle data events and attributes displayed in an eCommerce UI as you perform them, and experiment with implementing an mParticle data plan yourself.
What does good data validation look like?
Data engineers should add data validation processes in various stages throughout ETL pipelines to ensure that data remains accurate and consistent throughout its lifecycle. This article outlines strategies and best practices for doing this effectively.
Should you be buying or building your data pipelines?
With demand for data increasing across the business, data engineers are inundated with requests for new data pipelines. With few cycles to spare, engineers are often forced to decide between implementing third-party solutions and building custom pipelines in-house. This article discusses when it makes sense to buy, and when it makes sense to build.
Three threats to customer data quality (and how to avoid them)
In this video, Jodi Bernardini, a Senior Solutions Consultant at mParticle, lays out three major threats standing in the way of customer data quality, and offers advice on how organizations can address them.
Ask an mParticle Solutions Consultant: What is data quality?
In this video, Andy Wong, a senior leader on mParticle’s Solutions Consulting team, discusses what data quality means, why it is important prioritize, and the benefits of creating a centralized data planning team to oversee data quality.
When to use a data lake vs data warehouse
Enabling teams with access to high-quality data is important for business success. The way in which this data is stored impacts on cost, scalability, data availability, and more. This article breaks down the difference between data lakes and data warehouses, and provides tips on how to decide which to use for data storage.
From spreadsheet to source code: Leveraging mParticle’s Data Plan Builder
Effective data planning is critical to ensuring that the data entering an organization's internal systems is accurate, reliable, and actionable. mParticle’s Data Plan Builder is available to help both mParticle customers and prospects with the key aspects of data planning: collaboration, implementation, and continuous iteration.
How Reverb’s engineers optimized their data workflows at scale and gave users the rockstar treatment
With mParticle at the heart of their data stack, engineers at the world’s largest online music marketplace said goodbye to burdensome ETL pipelines, slashed their data maintenance workload, and unlocked new opportunities to build data-driven features into their product.