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.
CDPs: Streaming vs batch?
Many Customer Data Platform vendors describe themselves as real-time, but not all support the real-time use cases that businesses want to execute. This article breaks down the technical capabilities required support real-time use cases and shares tips on how to identify the right CDP solution for your needs.
Maximize the ROI of your MarTech stack with this six-step checklist
In today’s MarTech landscape, there is no shortage of tools you can use to engage with your customers and deliver personalization. But adopting tools alone by no means guarantees improved business outcomes. Here is a simple checklist you can use to increase the ROI of your MarTech stack.
What is data orchestration
Data orchestration is an automated process in which a software solution combines, cleanses, and organizes data from multiple sources, then directs it to downstream services where various internal teams can put it to use. The purpose of data orchestration is to help a company make its data as useful and versatile as possible.
Smartype Generate: Translate any JSON schema into data collection libraries for web, iOS and Android
mParticle’s Smartype is a platform-agnostic tool that can help every engineering team ensure data quality and consistency. Learn how to use Smartype to translate any JSON schema into custom data collection libraries for iOS, Android, and Web platforms.
CDPs vs. Data Lakes: What’s the difference, and can you use both?
CDPs and Data Lakes differ in the insights they surface, the users they serve, and the overall value they deliver. Though when used together, they are a powerful duo that can help your organization leverage historical and real-time customer data to the fullest extent.
CDP vs Data Warehouse: What's the difference?
Data warehouses enable critical insights, and speed of data collection and stability of warehousing are important to their performance. Learn the differences between a CDP vs data warehouse and how you can use both to improve functionality and take action on business intelligence.
Future-proof your customer data strategy: Get ready for iOS 14 privacy updates
There are significant changes coming to iOS relating to user privacy, tracking transparency, and specifically the use of the iOS advertising identifier (IDFA). Since the announcement, mParticle has been collaborating with some of the largest consumer brands in the world to holistically achieve a balance between adhering to compliance obligations and ethical data collection policies to protect consumer choice, while also delivering personalized and relevant information to people globally.
Improve mobile app performance with SDK abstraction
Implementing third-party SDKs in your mobile app allows Marketers and Product Managers to get data into the tools they love, but unstable third-party code can impact mobile performance and drain engineering resources. Learn how you can get high quality customer data to your team's favorite tools without having to manage excess third-party code.
Generate in-warehouse predictive audiences
Learn how Jayant Subramanian, data science intern, developed a proof-of-concept machine learning pipeline for predicting user behaviors from data pre-processing to model training and beyond using Snowflake and Apache Airflow.
How a CDP supports customer data security
The trust between a customer and brand is the foundation of a strong customer relationship. Part of maintaining that trust is sound customer data management and security. Learn how a Customer Data Platform helps you secure your customer data pipeline so that you can build trust throughout the customer journey.
Test in production with mParticle and Split
Testing with production data allows you to release features with more efficiency and greater confidence, but doing it successfully requires good testing control and data management processes. Learn more about using mParticle and Split feature flags to simplify testing in production.
Smartype: Proper event collection at run time
Smartype, a data quality product that translates any data model into type-safe code to help developers ensure proper event collection at run time. Smartype generates personalized SDKs, based on any data model, providing automated code completion and improving data collection and quality at scale. Now available in beta.
The difference between CDPs, DMPs, and CRMs
Discover the distinctions between these three very different martech solutions and which uses cases is best suited to your chosen technology provider.
How JetBlue improved their mobile customer experience
Learn how JetBlue uses mParticle to understand how customers experience the app on an individual basis, identify points of friction that affect customers' satisfaction, and test and deploy tools efficiently without adding third-party code that could impact end-user functionality