Connected, by mParticle Episode 13: How to develop a world-class MarTech department with Sesi Sijuade
On this episode, host Abhi Seeth connects with Sesi Sijuade, Head of Product - Marketing Technology at Sky to discuss the art and science of MarTech.
The Future of CDPs: Packaged and Composable
Just because you can unbundle a CDP, should you? By combining the best of packaged and composable approaches, you can configure a solution that enables you to accelerate time to data value while also reducing total cost of ownership.
AI and Data Privacy: How to ensure your AI programs are safe, responsible, and effective
AI has the potential to transform marketers' business impact. But if you don't have a compliant data foundation, leveraging ML predictions for personalization can lead to breaches of customer trust. This blog post provides guidance on how you can use data and AI to strengthen customer relationships, and not disrupt them.
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.
How to assemble a cross-functional data quality team
Smash your data silos and improve data quality across your organization by assembling a cross-functional team to own data planning.
mParticle's Series E: The rise of Customer Data Infrastructure
mParticle CEO Michael Katz discusses the company's latest funding round, sharing the company's growth thus far and future trajectory.
Connected, by mParticle Episode 2: Winning the streaming wars with Danny Joseph of Discovery
In the second episode of the podcast we interview Danny Joseph, VP of Product, DTC at Discovery. Danny shares best practices around building strong customer relationships, working across the organization to build better products and much more.
Announcing the Pathways Partner Program and Partner Portal
mParticle is excited to announce our new Pathways Partner Program and Partner Portal, which will allow mParticle partners to access platform enablement and certification, co-marketing initiatives, co-branded collateral creations, and opportunity referrals in a central system.
How to prepare for your Customer Data Platform implementation
Implementing a Customer Data Platform at the infrastructure layer of your tech stack can transform the way in which you work with customer data—if you do it right. This article breaks down the steps you can take to prepare for your Customer Data Platform implementation and make the most of your investment.
What is data integrity and why does it matter for customer data?
Integrity is a good quality. Just like you want the people around you to have integrity, you also want the data on which you base strategic decisions to be of high integrity as well. That sounds good, but what does it mean for data to have integrity, and why is this so important? In this post, we’ll explore this broad and nuanced concept, define what it means in the context of customer data, and learn a strategy to ensure your customer data maintains high integrity throughout its lifecycle.
Debug customer event collection in real time
If you are responsible for implementing data tracking plans across your apps and websites, you’re probably familiar with how tedious and time consuming it can be to track down data collection bugs when they pop up. This video walks through how you can use mParticle’s Live Stream to simplify your team’s testing and debugging cycles.
Power first-party advertising with mParticle's Yahoo! integration
Yahoo! sees roughly 200b daily cross-screen data signals from search, mail, commerce, and content. With mParticle’s new integration with Yahoo!, connecting those data signals just got a lot easier.
Everything you need to know about data integrations
Data integrations are ubiquitous throughout the SaaS ecosystem. But not all data integrations are created equal. This article walks through the different types of integrations commonly available and provides tips on how to choose the right integration types for your use cases.