Tag

Data infrastructure

Press Releases

mParticle democratizes access to its enterprise grade customer data infrastructure product

The combined offering will help teams integrate customer data directly from their data warehouse and improve customer journey exploration.

May 19, 2022
data-chaos

Growth

What is Data Chaos? And how to solve it

As you successfully drive growth, the complexity of your data landscape increases significantly. Unpredictable changes, both internal and external, make it difficult to execute your customer data strategy at scale. This is data chaos, and to solve it you need to be able to adapt to the changes.

Michael Katz – April 04, 2022

Engineering

How to choose the right foundation for your data stack

If you’re relying on downstream activation tools to combine data events into profiles, don’t. You’ll end up with fragmented and redundant datasets across systems. Enriching each data point before it is forwarded downstream will prevent this problem, but not all customer data infrastructure solutions deliver this capability.

Sean Ryan – March 02, 2022
data-driven-culture

Growth

How to build a data-driven culture

Many business have data, but few are actually able to use their data to increase customer value. This post describes the technology and processes you can implement to build a data-driven culture that transcends individual teams and differing levels of technical understanding.

Kiera Abbamonte – March 01, 2022
Sollten Sie eine Kundendatenplattform aufbauen oder kaufen?

Growth

Sollten Sie eine Kundendatenplattform aufbauen oder kaufen?

Kundendatenplattformen sind ein wichtiger Bestandteil der modernen Dateninfrastruktur. Erfahren Sie, was für den Aufbau einer Kundendatenplattform erforderlich ist und wie Sie feststellen können, ob der Aufbau einer eigenen Lösung oder die Zusammenarbeit mit einem führenden Anbieter der richtige Weg für Ihr Unternehmen ist.

Joey Colvin – February 15, 2022

Company

mParticle Acquires Customer Journey Analytics Provider Indicative to Help Teams Accelerate their Customer Data Strategy

The combined offering will help teams integrate customer data directly from their data warehouse and improve customer journey exploration.

January 12, 2022

Engineering

Your data warehouse is your source of truth. Here’s why you still need a Customer Data Platform

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.

Sean Ryan – December 10, 2021
katie-cerar

Company

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.

Katie Cerar – November 23, 2021

Engineering

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.

November 16, 2021
building-data-pipelines

Engineering

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.

Joey Colvin – November 10, 2021
data-lake-vs-data-warehouse

Engineering

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.

Joey Colvin – November 04, 2021

Engineering

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.

Sean Ryan – October 20, 2021
mparticle-series-e

Company

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.

Michael Katz – October 05, 2021
customer-data-platform-implementation

Growth

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.

Andy Wong – September 16, 2021
mparticle-yahoo-integration

mParticle Product

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.

Charrah Hardamon – September 09, 2020
mparticle-data-integrations

Engineering

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.

Joey Colvin – September 02, 2021
certified-solutions-partner-program

mParticle Product

Introducing the new Certified Solutions Partner Program (beta)

Today, mParticle is excited to announce the beta launch of our new Certified Solutions Partner Program and portal, where partners can access certification tracks and educational materials, create co-branded sales and marketing collateral, refer opportunities, and request co-marketing activities, as well as earn and redeem Partner Growth Funds.

Joey Colvin – July 13, 2021

Growth

How to set up your customer data team

In part two of our two-part series on making the most of your Customer Data Platform, we discuss how you can set up a cross-functional team of 'customer data excellence' to operate your CDP.

Joey Colvin – April 19, 2021
Comparing SQL and Python for Data Analysis use cases.

Engineering

Python and SQL: Complementary tools for complex challenges in data science

While Data Scientists today have an ever-expanding list of toolkits, languages, libraries and platforms at their disposal, two mainstays––Python and SQL––are likely to remain staples of data analysis for years to come. Here, we’ll look at the role these languages play in the rapidly evolving field of Data Science.

Sean Ryan – March 31, 2021

Growth

Data-informed Decision Making: What does it mean, and should you be doing it?

Like data-driven decision making, being data-informed entails relying heavily on raw, measurable information to guide an organization’s direction. Data-informed strategies leave more room for opinions and past experiences, however, and recognize the limitations of using data alone to make every decision.

Sean Ryan – February 02, 2021
customer-data-platform

Growth

What is a Customer Data Platform?

Learn more about what a Customer Data Platform (CDP) is and how you can make sense of the rapidly evolving Customer Data Platform market.

Joey Colvin

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

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
cdp data warehouse

Growth

How to use a CDP with your data warehouse

Data warehouses enable critical insights, and speed of data collection and stability of warehousing are important to their performance. Learn how you can use a CDP with your data warehouse to improve functionality and take action on business intelligence.

Joey Colvin – December 02, 2020
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
customer data infrastructure

Guides

Generic data infrastructure isn’t enough

Can your data stack keep up with the personalization, measurement, and customer support demands of your team? Download this free customer data infrastructure guide to learn how you can use a CDI to support scalable customer engagements across every touchpoint, channel, and device.

Michael Katz
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
data enrichment platform

mParticle Product

Seamless first- and third-party data enrichment

The newly debuted Data Partners Program is a group of enrichment data partners that meet the highest standard of data integration with mParticle’s CDP; these integrations allow third-party data to be collected and connected to the first-party persistent customer profiles existing within mParticle to provide a complete, real-time view of the customer which can then be used to seamlessly connect insights to a growing ecosystem of 250+ outbound integrations.

Abril McCloud – July 15, 2020

Engineering

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

Abril McCloud
event driven architectures

mParticle Product

Real-time event processing with Kafka

Learn how mParticle's Kafka integration can help you stream customer data to systems and applications with event data forwarding, advanced filtering and compliance, distributed event notification, and event sourcing.

Kale Bogdanovs – September 30, 2019
Data warehousing snowflake

mParticle Product

Load data to Snowflake data warehouse

Learn how mParticle's Snowflake integration can help you warehouse your customer data more efficiently and securely at scale with automated data exports, advanced filtering and compliance, and easier querying.

Craig Kelly – April 29, 2019
modern data infrastructure

Engineering

10 Critical data infrastructure capabilities

Instead of focusing on core data management challenges, many Customer Data Platforms are focused on the application of data. Learn about the 10 critical components of modern data infrastructure.

Abril McCloud – November 02, 2018
Why Customer Data Platforms are called the new CRM.

Growth

The new consumer marketing

How a new generation of direct-to-consumer brands is reimagining relationship management and transforming the marketing world.

David Spitz
integrated data layer

Growth

How to plan your integrated data layer

Learn how to develop an integrated data layer that aligns with your business and techical goals and provides you with a centralized source of clean customer data.

Andy Wong – August 28, 2018
cdp-vs-dmp

Growth

CDP vs. DMP: What’s the difference and which one should you use?

Create a dynamic martech stack capable of collecting, transforming, and activating customer data by using a Customer Data Platform to augment your Data Management Platform. Learn how you can leverage these technologies to help you turn your customer data into a growth asset.

Kiera Abbamonte – June 17, 2022
Best practices for deploying a mobile messaging platform

Engineering

How to assemble a best in class tech stack

How to implement a best in class stack...the right way

Al Harnisch – June 06, 2018

mParticle Product

Announcing our integration with Google Cloud Storage

 The new Google Cloud Storage integration allows mParticle customers to seamlessly onboard customer data to Google’s Cloud Platform without requiring code updates and ongoing maintenance.

Tricia Prashad – June 27, 2017
15 questions to evaluate CDP data preparation capabilities

Growth

15 questions to evaluate CDP data preparation capabilities

Marketing technology analyst David Raab explains how customer data platforms can enable data transformations and how to ensure the right fit for your needs.

David Raab – September 26, 2017
Comparing tag managers and Customer Data Platforms

Growth

Tag managers and CDPs: What’s the difference?

Both tag managers and CDPs help marketers collect customer data without relying on engineering, but that's where the similarity ends.

Abril McCloud – March 30, 2018
Customer Data Platform ROI: Risk management

Growth

CDP ROI: Risk management

This blog is part three of a five-part series detailing how using a customer data layer can help brands comply with data privacy standards and mitigate risk across their portfolio of martech investments.

David Spitz – March 13, 2018
14 eCommerce audiences marketers need to succeed

Growth

14 eCommerce audiences marketers need to succeed

Reaching these 14 eCommerce audiences with the right content can make all the difference in terms of engagement, conversion, and satisfaction.

Abril McCloud – November 20, 2017
How to design high throughput and low latency NoSQL deployments

Engineering

ScyllaDB Migration: How to design high throughput and low latency NoSQL deployments

Yuan Ren, Head of Data Science at mParticle, discusses our ScyllaDB migration and how to process 50 billion monthly messages via NoSQL deployments.

Yuan Ren – August 24, 2017

mParticle Product

Announcing our Feeds integration with Salesforce Marketing Cloud!

We are excited to announce our latest Feeds integration with Salesforce Marketing Cloud (SFMC), making it easier for brands to…

Tricia Prashad – May 16, 2017

Engineering

Behind the script: Building a Roku SDK

mParticle's Sam Dozor walks us through building our open source Roku SDK and the many eccentricities of the platform that made the experience so unique.

Sam Dozor – February 09, 2017
mParticle and Venmo Case Study Hero Background

Growth

How Venmo increased user engagement by 30%

Tricia Prashad

Growth

Marketing data as a core asset

Data isn’t what matters, what you do with it is the important part. Conceive of and manage your data properly from the start to get the most out of your marketing data.

Michael Katz – August 26, 2016

Engineering

The problem with app updates: Communication breakdown

While apps continue to make improvements from the time they launch, app stores don’t offer them a means to share progress within app updates.

Coby Berman – August 12, 2015