Blog

Engineering

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.

Sean Ryan – December 15, 2020
cdp machine learning

mParticle Product

How to harness the power of a CDP for machine learning: Part 3

Learn how you can activate machine learning insights across analytics and customer engagement platforms in part three of this three-part series.

Kale Bogdanovs – December 16, 2020
customer acquisition and retention

Growth

Customer acquisition and retention: Which should you focus on?

Learn more about what the most effective acquisition and retention tactics are today, how you can measure your efforts, and where your time and dollars are best allocated given current market conditions.

Joey Colvin – December 11, 2020

Growth

What is first-party data?

First-party data is the most powerful and reliable type of customer information, and it can give your organization many distinct advantages. Learn how to distinguish between different categories of customer data, and the ways you can leverage your company’s first-party data from multiple channels.

Sean Ryan – December 07, 2020

Engineering

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.

Sean Ryan – November 30, 2020

Engineering

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.

Sean Ryan – November 10, 2020
covid 19 financial services

Growth

COVID's impact on the financial services industry

In times of uncertainty, financial services companies are uniquely placed to enrich people's lives. Learn more about how the coronavirus pandemic has impacted personal banking and how financial services industry leaders are adapting.

Joey Colvin – November 24, 2020
cdp data warehouse

Engineering

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.

Joey Colvin – August 18, 2022
single-customer-view-cdi

Growth

A single customer view is not the goal (it's the result)

Companies have long tried to establish a single customer view, but few have been able to put a solution into place that addresses the cross-functional needs of stakeholders. The problem is that a single customer view is often seen as the goal of processes, rather than the result. Learn how to create a single view of the customer by enforcing an organization-wide commitment to data quality and collaboration catalyzed by a sound data design process.

Michael Katz – November 03, 2020
building a data platform

Growth

Should you build or buy a Customer Data Platform?

Customer Data Platforms are a critical piece of the modern data infrastructure. Learn what it takes to build a Customer Data Platform and how to determine whether building a solution or working with a leading vendor is the right path for your organization.

Joey Colvin – October 15, 2020
block-data-quality

mParticle Product

Introducing Block Data: Diagnose, quarantine, fix, and backfill bad data

Bad data leads to bad decisions, but most teams are unable to address their data quality problems proactively in real time. Today, we are excited to announce Block Data, a new early access feature that helps teams automatically identify and drop unplanned data before it’s forwarded downstream, review and quarantine suspected bad data for investigation, and replay quarantined data once it’s been inspected and modified.

Niko Stahl – October 14, 2020
ios-14-privacy-updates

Engineering

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.

Sam Dozor – September 16, 2020