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.
How to use a CDP with your data warehouse
Data warehouses and CDPs are two pillars of the modern data stack. Recently, a perception has emerged that companies need to choose one system or the other as a “source of truth” for their data. This article poses a counter perspective, and demonstrates how when used together, a CDP and a data warehouse can form a dynamic duo at the core of your data infrastructure.
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.