PIM and MDM: Key Differences, Benefits and How They Work Together

Calianne Lopez | August 27, 2025 | 14 minute read

Manage Your Product Data Seamlessly

Explore Product Experience Data Cloud

PIM and MDM: Key Differences, Benefits and How They Work Together

Master Data Management Blog by Stibo Systems logo
| 14 minute read
August 27 2025
PIM and MDM: Key Differences, Benefits and How They Work Together
27:28

Confusing Product Information Management (PIM) with Master Data Management (MDM) can lead to far worse outcomes than mere embarrassment.

Today, effective data management makes or breaks organizations. And as you collect more and more data – across multiple systems – the more important it becomes to get these key terms right.

Many business leaders view them as competing solutions, forcing them to choose one over the other. This either-or mentality often results in partial solutions that fail to address all organizational data needs.

PIM and MDM serve different but complementary purposes in your data ecosystem.

In this blog post, you will learn all the essentials:

 

Key takeaways

  • PIM and MDM are not competing solutions but complementary systems that address different aspects of data management within organizations.
  • PIM specializes in enriching and distributing product information across marketing and sales channels, while MDM creates governance and consistency for all critical business data domains.
  • Most organizations eventually need both systems as they scale, with PIM handling customer-facing product content and MDM managing enterprise-wide data accuracy and compliance.
  • The choice between starting with PIM or MDM depends on your most pressing pain points, whether that is inconsistent product information across channels or fragmented data across departments.
  • Modern integrated platforms like Product Experience Data Cloud combine both PIM and MDM capabilities, eliminating the complexity of managing separate systems while providing comprehensive data management.

 

Why it’s important to know all this

Maybe you're struggling with inconsistent product information across your sales channels, battling data silos across departments, or just trying to establish a reliable single source of truth for your organization.

When you understand exactly what each solution does, and how they work together, you can turn your data management from a fragmentation and frustration, into a real competitive advantage.

Let’s start with the basics:

 

What is Product Information Management (PIM)?

Product Information Management (PIM) focuses specifically on creating, managing and distributing product data across your sales and marketing channels.

It’s your central hub for all product-related information, making sure it is consistent and accurate everywhere your products appear.

At its very core, PIM handles the collection, enrichment and delivery of product data. From basic specifications and pricing to compelling descriptions, high-quality images, and other digital assets that help you drive conversions.

In other words, you avoid the chaos of spreadsheets, disconnected systems and manual updates that plague so many organizations.

Key capabilities of PIM systems

Data consolidation

PIM pulls product data from multiple sources into a single repository, giving you one authoritative version of your product information. Whether it's coming from ERP systems, supplier feeds or legacy spreadsheets, PIM brings it all together.

Content enrichment

Beyond basic attributes, PIM lets you transform raw product specifications into compelling customer-facing content. You can add marketing descriptions, videos, size charts, usage instructions and other assets that help customers buy.

Data quality control

No more publishing incomplete or inaccurate product listings. Built-in validation rules and completeness checks catch missing fields, formatting errors and inconsistencies before they reach your customers.

Multichannel distribution

Connect once, publish everywhere.

Modern PIM systems distribute your product content to websites, marketplaces, mobile apps, print catalogs and in-store displays. And it’s all automatically formatted to meet each channel's specific requirements.

Localization support

If you’re a global business, managing multiple languages and regional variations can be overwhelming. PIM simplifies this by organizing translations and region-specific attributes in a structured way. It makes international expansion more manageable.

key-capabilities-of-pim-systems

 

The business benefits of implementing PIM

Faster time-to-market

When your product data is already centralized and enrichment workflows are automated, you can launch new products in days rather than weeks or months.

This is indispensable for organizations with massive catalogs. Many companies report 60-80% reductions in product introduction cycles.

Higher conversion rates

Complete, accurate information makes your customers more confident. Rich product content with multiple images, videos, and detailed specifications can boost conversion rates by 15-30% compared to basic listings.

Reduced returns

"Not as described" is one of the most common reasons for product returns. With complete and accurate product information, customers know exactly what they're getting.

Simplified channel expansion

If you want to sell on a new marketplace or launch in another country, your PIM makes it easier to adapt your product catalog for new channels.

Team efficiency

Stop wasting valuable marketing and sales time hunting down basic product information. A PIM frees your creative teams to focus on strategy and innovation instead of entering and reconciling data.

PIM solutions are especially valuable for retailers, manufacturers and distributors that manage hundreds or thousands of products across multiple channels.

If your organization struggles with inconsistent product information and manual updates across channels, or if it’s difficult to launch new products quickly, a PIM system might be the solution you need.

business-benefits-of-implementing-pim

 

What is Master Data Management (MDM)?

Master Data Management (MDM) takes a broader approach to data management. It creates a single source of truth for critical business data across your whole organization.

When PIM only focuses on product information, MDM sometimes covers multiple data domains including:

  • Customers
  • Vendors
  • Locations
  • Employees
  • Products

Essentially, MDM addresses the challenge of inconsistent, duplicate, or contradictory information that exists when each department maintains its own data silos.

Your MDM system gives you unified master records for key business entities, making your reporting, analytics, and decision-making far more accurate.

Key capabilities of MDM solutions

Multidomain data consolidation

Multidomain MDM brings together critical data from across your business.

Instead of managing each type of data separately, it creates relationships between domains. You can see, for example, which customers purchased which products from which locations.

Data governance framework

With MDM, you can establish (and make sure they’re followed) policies about how data is:

  • Created
  • Maintained
  • Used
  • Secured

You do this by, for example, defining data ownership, access rights and quality standards that meet your regulatory requirements.

Matching and merging

One of MDM's most powerful features is its ability to identify and resolve duplicate entries.

Advanced algorithms detect when multiple records likely refer to the same entity (like a customer with slightly different name spellings), so you can hold on to that unified view of each customer.

Data lineage and audit trails

MDM lets organizations – especially those in highly regulated industries – fully track:

  • Where data came from
  • Who modified it
  • When changes occurred

They are given a complete audit history that supports compliance requirements and helps troubleshoot any data issues that appear.

Workflow orchestration

Beyond simply storing data, MDM can trigger workflows and processes when data changes occur. The right people can be notified, and appropriate actions can be swiftly taken.

key-capabilities-of-mdm-solutions

The business benefits of MDM implementation

Improved decision-making

When executives and managers can trust the accuracy of enterprise data, they can make better strategic choices. Different departments can work from the same sets of facts.

Regulatory compliance

If you’re in an industry with strict data governance requirements, MDM gives you the controls, documentation and audit capabilities you need to keep regulators happy and avoid hefty compliance penalties and fines.

Operational efficiency

By avoiding duplicate records and keeping your information consistent across systems, MDM reduces the time your employees need to spend reconciling conflicting data or searching for accurate information.

If you’re a large organization, this can save you millions each year.

Enhanced customer experience

When you have a complete view of customer relationships, interactions and purchase history, your teams can give each customer more personalized service and relevant offers.

Merger and acquisition support

When two organizations combine, you each bring your own systems and data sources. MDM makes it much easier to integrate these and create a unified view of the combined business.

Earlier, in the PIM section, I mentioned some industries that benefit a lot from PIM solutions (retail, manufacturing and distribution). Those organizations also benefit from MDM solutions.

But additionally, MDM solutions are important if you’re a large enterprise. Especially in regulated industries like financial services, life sciences or telecommunications.

If your organization struggles with inconsistent data across departments, lacks visibility into enterprise-wide relationships or faces significant compliance challenges, an MDM solution is often the answer.

business-benefits-of-mdm-implementation

 

PIM vs. MDM: Key differences at-a-glance

It’s important to understand the distinctions between PIM and MDM, so you know which one is best for your specific challenges.

PIM optimizes how you present and sell products. MDM brings governance for all critical organizational data. Think of PIM as a subset of MDM; MDM encompasses various data domains, whereas PIM solely focuses on product data. MDM focuses on creating a single trusted view of master data across the organization for accuracy and consistency, whereas PIM is business-driven, focusing on the creation and distribution of high-quality product information - typically for marketing and sales channels.

PIM is great at enriching and distributing product information across customer touchpoints. MDM keeps all your master data consistent across internal systems and processes.

These differences explain why many organizations have both solutions – they solve related but distinct challenges in your data management strategy.

Here's how they compare across key dimensions:

Aspect PIM MDM

Data scope

Product information only 

Multiple data domains (customers, products, suppliers, locations, etc.) 

Primary focus 

Enrichment and distribution of product content 

Governance and integration of all master data 

Business orientation

External: marketing, sales, customer-facing 

Internal: operations, analytics, compliance 

Key users 

Marketing, merchandising, ecommerce teams 

IT, data stewards, business analysts, executives 

Content types 

Rich content: descriptions, attributes, digital assets, translations 

Structured data: IDs, relationships, hierarchies, reference data 

Channel focus

Omnichannel publication and syndication 

Cross-system consistency and integration 

Typical objectives

Faster time-to-market, improved conversion rates 

Better decision-making, regulatory compliance 

Scale

Hundreds to millions of products 

All critical data entities across the organization 

Typical triggers

Product catalog growth, channel expansion 

Data quality issues, compliance mandates, reporting inconsistencies 

Technical integration

Connects to commerce platforms, marketplaces 

Interfaces with ERP, CRM, finance systems 

 

 

When to use PIM vs. MDM

Signs you need (at least) a PIM solution

Your product catalog keeps growing in complexity

Your spreadsheets can't handle your expanding portfolio anymore. Your teams struggle to maintain accurate information for thousands of products, each with dozens of attributes, multiple images, and variant relationships. To scale, you need structure and simplicity.

Product information is inconsistent

Your customers get confused by conflicting product details across channels. A shopper sees one description on your website, another in your catalog, and completely different details on Amazon.

Less trust, lower conversion rates, and more returns.

Product launches take too long

Your competitors keep beating you to market. By the time you manually update product information across all your sales channels, you've already missed valuable selling time. This hurts extra if you’re in seasonal or trend-driven markets.

Channel expansion is too complicated

You want to sell in more places but dread the work involved. Each new marketplace or retail partner means copying, reformatting and maintaining another set of product data. And you don’t want to hire an army of data enterers.

You have too many returns

You're drowning in "not as described" returns. When customers receive items that don't match what your product listings led them to expect, they send them back.

signs-you-need-a-pim-solution

Signs you need an MDM solution

Data is inconsistent across departments

Your departments live in different realities.

  • Sales doesn't recognize the customers that marketing targets.
  • Finance pays suppliers that procurement doesn't track. 

These disconnects give you daily headaches. From mishandled customer interactions to duplicate payments... it becomes impossible to work as a unified company.

Regulatory compliance is too challenging

Audits give you cold sweats. Whether it's GDPR, CCPA or industry regulations, your scattered approach to data management puts you at risk.

You can't easily show who has access to what data, where it came from or how it's protected. In other words: You are vulnerable to penalties and reputation damage.

Mergers or acquisitions are a constant problem

Whether you're buying another business or preparing to be acquired, how quickly you can merge systems and data directly impacts success.

Without MDM, you'll spend months or years manually reconciling conflicting records and systems... and then it’s time for the next merger.

Your reporting is a real mess – and your forecasting unreliable

No one believes your numbers anymore.

  • Your sales reports show different totals than finance reports.
  • Regional managers dispute corporate figures.
  • Last month's numbers mysteriously change when you run the same report again.

Nobody can make confident decisions based on data with these types of inconsistencies.

Identity resolution problems

You can't tell how many actual customers you have. The same person appears in your database three times with slight variations in name and address.

Maybe you accidentally treat your best customer like three separate people with fragmented purchase histories. Those kinds of data quality issues undermine everything from marketing campaigns to financial forecasts.

signs-you-need-an-mdm-solution

So, when do you need both PIM and MDM?

As I mentioned a couple of times already, it is very common to have both types of systems. There are many reasons for this, but let me share a few.

You simply have challenges that span both categories

If you’re like many organizations, your problems just don't fit neatly into just product data or just enterprise data.

Your marketing team needs better product information AND your finance department needs consistent customer and vendor records.

You're pursuing digital transformation

You can't transform what you can't manage.

...all depend on having clean, reliable data. PIM and MDM give you different but necessary foundations for your digital evolution.

Your business is scaling fast

Growth creates data chaos on multiple fronts. As you add products, enter new markets and build more complex operations, you're outgrowing your improvised approaches to both product information and enterprise data management.

You're building a competitive advantage through data

You see how market leaders use data to pull ahead.

They create better customer experiences through rich product content, and they also run more efficient operations through well-governed enterprise data. So, you'll need both capabilities to compete at their level.

signs-you-need-both-pim-and-mdm

 

Now, let’s dig a bit deeper into how PIM and MDM work together.

The case for using PIM and MDM together

Many organizations think they must choose between PIM and MDM. But as should be clear by now, that misconception can lead to bad outcomes. With this either-or mindset, you usually get partial solutions that address immediate pain points but create new challenges down the road.

Let me explain why thinking about PIM and MDM as complementary rather than competing solutions makes more sense.

How PIM and MDM work together

PIM and MDM naturally complement each other because they handle different aspects of your data ecosystem:

how-pim-and-mdm-work-together

PIM manages the enrichment and distribution of product information for marketing and sales purposes. It’s great at handling rich content like:

  • Descriptions
  • Specifications
  • Images
  • Videos
  • Other assets that drive customer engagement and purchasing decisions

MDM, meanwhile, gives you the foundational elements of your products and other business entities. It maintains the:

  • Core identifiers
  • Classifications
  • Relationships

...all of which connect your products to customers, locations, suppliers, and other critical business domains.

When you use them together, MDM provides the stable, consistent core data that PIM builds upon with rich, channel-ready content.

You get a totally seamless flow from basic product definition to compelling, customer-facing information.

A real-world scenario of PIM-MDM integration

Here's how the integration typically works in practice:

  1. A manufacturer creates a new product in their MDM system, establishing basic identity, classification and core attributes.
  2. These core elements flow to multiple systems, including PIM.
  3. The marketing team then uses PIM to enrich this core record with compelling descriptions, high-quality images, videos and other sales materials.
  4. They adapt this content for different markets, channels, and customer segments.
  5. When core product details change (like dimensions or materials), the update happens once in MDM and automatically propagates to PIM and other systems, maintaining consistency.
  6. The rich content created in PIM flows to customer-facing channels like websites, marketplaces and retail partners, driving sales and delivering accurate information.

You get the best of both worlds: rock-solid core data governance with MDM and powerful marketing enablement with PIM.

5 Ultimate benefits of combining PIM with MDM

Before we move on, let’s just briefly summarize – at a high level – what the benefits are with the PIM-MDM combo.

  1. Your product attributes stay consistent across all systems because they come from a single MDM source, and your marketing content gets specialized enrichment in PIM.
  2. You get enterprise-wide data governance controls from MDM for core data alongside marketing-specific workflows in PIM that match how different teams need to work.
  3. Your technical staff get more efficient working in MDM with tools designed for their needs while marketing teams use PIM interfaces built specifically for content creation and channel management.
  4. You reach faster time-to-value when you can start with whichever solution addresses your most urgent pain points, then add the complementary system as your strategy matures.
  5. You get a future-proof foundation that supports advanced initiatives like personalization and AI-driven recommendations without major rework later.

benefits-of-combining-pim-and-mdm

 

Bringing it all together into one platform

As we have already established, PIM and MDM solutions need to work together. The problem is that implementing and integrating separate systems can be a headache.

In large organizations, that headache can be huge, which is why we at Stibo Systems came up with a more comprehensive approach, with everything in one place.

PIM evolves into PXM – Product Experience Management

The Stibo Systems approach is based on the concept of Product Experience Management (PXM), which is the next step beyond traditional PIM.

PIM focuses on organizing and managing product data.

PXM takes a broader view by enhancing the whole customer experience with personalized product content.

Traditional PIM solutions focused on storing and managing product data. But today, your customers expect dynamic product content tailored to their needs. That can mean localized descriptions, multimedia content or AI-driven recommendations – without it, you could fall behind.

You could say that PIM is a critical component within the PXM framework. PIM is the foundation, and PXM is the complete building.

Stibo Systems Product Experience Data Cloud

At Stibo Systems, we address this evolution with our solution: Product Experience Data Cloud (PXDC). It is built on the Stibo Systems Platform and used by many of the world’s most successful companies, and handles the full spectrum of product data needs.

The PXDC approach tackles the PIM-MDM integration challenge by creating a seamless flow of data across your organization.

Product Information Management (PIM)
  

The foundation of high-quality product data, speeding up time-to-market and improving the buying experience. 

Digital Asset Management (DAM)
 

Drive faster time-to-market by easily locating, updating and sharing digital assets for sales and marketing. 

Product data onboarding
 

Drive efficiency by onboarding product data directly from suppliers, content service providers or data aggregators. 

Product data syndication
 

Share high-quality product data with retailers and other business partners efficiently. 

AI-generated content 

Enable fast and scalable product content creation which drives greater consumer engagement. 

Product sustainability data
 

Support compliance with industry requirements and enhance brand perception. 

Digital shelf analytics
 

Provide visibility of digital shelf performance to drive informed decisions that increase conversions. 

Enhanced content
 

Enable efficient product storytelling at scale for increased sales conversions and reduced returns. 

Connect products, customers and places 

Link products to locations and customers for personalization. 

 

PXDC starts by connecting data sources, breaking down data silos.

By linking internal and external data sources, it creates a single version of truth for your product information. So, no more conflicting product specifications across departments.

Once the data is connected, PXDC helps you transform raw product data into rich, engaging content. Your teams can add images, videos, localized descriptions, and technical documents – all this with high data quality and consistency.

The platform also makes sharing your product data remarkably simple. Whether you're sending data to Amazon, your own website or retail partners, PXDC handles the formatting and delivery automatically. You create the content once, then publish it everywhere.

What makes this approach particularly effective is how it handles different industry needs.

  • Retailers can onboard supplier data at scale and use AI to enhance product descriptions.
  • CPG companies can consolidate data from various internal sources and apply localization for global markets.
  • Distributors can manage compliance certifications and syndicate data to numerous ecommerce platforms.
  • Manufacturers can finally create that elusive single source of truth for product data.

...and so on.

Let’s look at an example

The real magic happens when you see how all these components work together. Let me walk you through a typical scenario.

  1. A product manager creates a new item in the system, establishing its basic identity and attributes.
  2. The marketing team then enriches this foundation with compelling descriptions and high-quality images.
  3. As the product launches in different markets, localization teams adapt the content for each region.
  4. Meanwhile, the compliance team ensures all necessary certifications and sustainability information is attached to the product.
  5. When core details change, the update happens once and propagates throughout the system, maintaining consistency.

All of this within a single platform, eliminating the integration headaches that come with managing separate PIM and MDM systems.

This is how we at Stibo Systems help organizations avoid the "either-or" trap of choosing between PIM and MDM.

 

Conclusion

The debate between PIM and MDM isn't about finding a winner. It's about figuring out how these tools can work together to solve your specific data challenges.

Throughout this article, we've seen that PIM helps you create rich product content that sells, while MDM gives you control over all your critical business data. They're not competing solutions, but rather addressing different but connected problems you likely face.

You'll probably start your journey with either PIM or MDM based on what's hurting most right now.

  • If you're drowning in product information across multiple sales channels, you might grab PIM first to get that under control.
  • If you can't get consistent customer or supplier data across departments, MDM might be your first step.

But if you're serious about managing your data for the long haul, you'll likely end up using both. As we've explored with Stibo Systems' Product Experience Data Cloud (PXDC), there's also a third option: Implementing an integrated platform that combines the strengths of both PIM and MDM approaches from the beginning.

Many of the organizations we work with eventually implement both solutions as they realize good data management needs both specialized product content tools and broader data governance.

With an integrated platform like PXDC, you can avoid the complexity of managing separate systems while still getting the full benefits of both PIM and MDM capabilities.

So, as you think about your own approach, don't get stuck on "PIM versus MDM." Instead, focus on your specific business problems and where you want to go. You can start with one solution now and add the other later, or look for an integrated platform that gives you everything in one system.

What matters is understanding what each approach does best and finding the right combination for your unique needs.

Frequently asked questions

How do I know whether my organization needs PIM or MDM first?

Look at your biggest data pain points right now. If you are struggling with inconsistent product information across sales channels, product launches taking too long, or high return rates due to inaccurate descriptions, start with PIM.

If you have data inconsistencies across departments, regulatory compliance challenges, or unreliable reporting, MDM should be your first priority.

Can I implement PIM without having MDM in place?

Yes, you can start with PIM independently, especially if your primary challenges involve product content management and channel distribution. But as your organization grows and data complexity increases, you will likely need MDM to maintain data quality and governance across all business domains.

What happens to my existing data when I implement these systems?

Both PIM and MDM systems are designed to integrate with your existing data sources. They pull information from ERP systems, spreadsheets, supplier feeds and other current sources into centralized repositories.

The key is having a proper data migration strategy and cleansing process during implementation.

What is the difference between traditional PIM and Product Experience Management?

Traditional PIM focuses on organizing and managing product data, while PXM takes a broader approach by enhancing the entire customer experience with personalized, dynamic product content. PXM includes capabilities like localized content and multimedia management that go beyond basic data storage.

How do integrated platforms compare to implementing separate PIM and MDM systems?

Integrated platforms eliminate the complexity of managing multiple systems and ensure seamless data flow between product information and enterprise data management.

While separate systems might offer more specialized features, integrated platforms provide better coordination, reduced maintenance overhead and faster implementation timelines for organizations that need both capabilities.

 

Boost Your Product Experience

See how your brand measures up with our Product Experience Maturity Model.

Get Access Now
how-to-guide-product-experience-maturity-model

Master Data Management Blog by Stibo Systems logo

Fueled by curiosity and cafecitos, Calianne helps organizations go to market with product strategies that deliver impact and drive competitive advantage. With global experience in enterprise data management organizations, she specializes in translating complex technologies into clear, compelling business value.

Discover Blogs by Topic

  • MDM strategy
  • Data governance
  • Customer and party data
  • See more
  • Retail
  • Data quality
  • AI and machine learning
  • Manufacturing
  • Product data and PIM
  • Supplier data
  • Consumer packaged goods
  • Product Experience Data Cloud
  • Sustainability
  • Data compliance
  • Banking and capital markets
  • Customer experience and loyalty
  • Data integration
  • Insurance
  • ROI and business case
  • Location data
  • Operational efficiency
  • Compliance and risk management
  • Multidomain data
  • Supplier Data Cloud
  • Supply chain
  • Customer Experience Data Cloud
  • ERP success
  • Life sciences
  • Location Data Cloud
  • Analytics and BI
  • Automotive
  • Business Partner Data Cloud
  • Data modeling
  • Data sourcing
  • Digital transformation
  • Platform
  • Product data syndication
  • Cloud and SaaS
  • Data delivery
  • Data sharing
  • Digital asset management
  • Digital shelf analytics
  • Product onboarding
  • Translation and localization
  • Transparency

5 PIM Trends That Will Define 2026 and the Near Future (And How to Prepare for Them)

8/27/25

PIM and MDM: Key Differences, Benefits and How They Work Together

8/27/25

From Zero to Launch in Under 6 Months: A Quick Guide to Deploying Master Data Management

8/12/25

How Operations Leaders are Modernizing Manufacturing Data Without Halting Production

8/5/25

Digital Product Passports: The Data Management Mandate

8/4/25

How to Improve Back-End Systems Using Master Data Management

8/1/25

Product Attribution Strategies That Convert Searchers into Buyers

7/14/25

How to Get More Value from Your Data: The Benefits of Master Data Management

7/9/25

The Complete PIM Features Guide: The Capabilities You Need for Successful Data Strategies

7/4/25

Fixing Fragmented Customer Account Data: Stop Losing Revenue and Trust

7/3/25

PIM explained: How Product Information Management transforms data quality

6/26/25

What is master data management? A complete and concise answer

6/25/25

Better Together: CRM and Customer Master Data Management

6/12/25

How CPG Сompany Bonduelle Сentralized Product Data Across 37 Countries

6/11/25

Master Data Management Tools: A Complete Guide

6/10/25

How Signet Jewelers Built Trust in Its Retail Data

5/23/25

5 Hidden Costs of Bad Customer Data in Retail (and How to Avoid Them)

5/12/25

Manufacturing Trends and Insights in 2026

5/12/25

Data Migration to SAP S/4HANA ERP: The Fast and Safe Approach with MDM

4/30/25

What is a Data Domain? Meaning & Examples

4/29/25

Master Data Management Roles and Responsibilities

4/21/25

5 Key Trends in Product Experience Management

4/15/25

Trust the Machine: Making AI Automation Reliable in Master Data Management

4/4/25

How Agentic Workflows Are Changing Master Data Management at the Core

4/2/25

What is Smart Manufacturing and Why Does it Matter?

3/17/25

How to Implement Master Data Management: Steps and Challenges

3/11/25

MDM and AI: Real-World Use Cases and Learnings From OfficeMax and Motion Industries

3/7/25

Reyes Holdings' MDM Journey to Better Data

2/27/25

Discover the Value of Your Data: Master Data Management KPIs & Metrics

2/19/25

The Future of Master Data Management: Trends in 2026

2/17/25

8 Best Practices for Customer Master Data Management

2/3/25

How to Choose the Right Data Quality Tool?

1/29/25

AI Adoption: A High-Stakes Gamble for Business Leaders

1/28/25

All You Need to Know About Supplier Information Management

1/27/25

How Kramp Optimizes Internal Efficiency with Data Strategy

1/27/25

From Patchwork to Precision: Moving Beyond Outdated and Layered ERP Systems

1/27/25

Thriving Beyond NRF 2025 with Trustworthy Product Data

1/24/25

Building the Future of Construction with AI and MDM

1/23/25

Why Addressing Data Complexity in Pharmaceutical Manufacturing Is Critical

1/17/25

How URBN Leverages Data Management to Support Its Sustainability Information  

1/17/25

An Introductory Guide to Supplier Compliance

1/14/25

How to Avoid Bad Retail Customer Data

1/6/25

How to Implement Data Governance

12/17/24

Gen Z: Seeking Excitement Beyond Amazon

12/11/24

A Modern Guide to Data Quality Monitoring: Best Practices

12/10/24

CDP and MDM: Complementary Forces for Enhancing Customer Experiences

12/10/24

What is Supply Chain Analytics and Why It's Important

12/9/24

What is Supplier Lifecycle Management?

12/5/24

Using Machine Learning and MDM CBAM for Sustainability Compliance

12/3/24

AAPEX and SEMA: The Automotive Aftermarket Industry’s Mega-Showcase

11/25/24

Solving Retail Data Fragmentation: The Key to Consistent Customer Journeys

11/11/24

What is the difference between CPG and FMCG?

10/24/24

Live Shopping: How to Leverage Product Information for Maximum Impact

10/22/24

Why Data Accuracy Matters for CPG Brands

10/16/24

Why Choose a Cloud-Based Data Solution: On-Premise vs. Cloud

10/15/24

How to Use Customer Data Modeling

10/10/24

How Master Data Management Can Enhance Your ERP Solution

9/23/24

Navigating Change: Engaging Business Users in Successful Change Management

9/20/24

What is Digital Asset Management?

9/11/24

How to Improve Your Data Management

9/3/24

Digital Transformation in the CPG Industry

8/30/24

5 CPG Industry Trends and Opportunities for 2025

8/29/24

Responsible AI Relies on Data Governance

8/27/24

Making Master Data Accessible: What is Data as a Service (DaaS)?

8/19/24

6 Features of an Effective Master Data Management Solution

8/15/24

Great Data Minds: The Unsung Heros Behind Effective Data Management

8/13/24

A Data Monetization Strategy - Get More Value from Your Master Data

8/6/24

Introducing the Master Data Management Maturity Model

8/4/24

What is Augmented Data Management? (ADM)

7/31/24

GDPR Data Governance and Data Protection, a Match Made in Heaven?

7/17/24

The 5 Biggest Retail Trends in 2025

6/10/24

The Difference Between Master Data and Metadata

5/26/24

What Is Master Data Governance – And Why Do You Need It?

5/12/24

Guide: Deliver flawless rich content experiences with master data governance

4/11/24

Risks of Using LLMs in Your Business – What Does OWASP Have to Say?

4/10/24

Guide: How to comply with industry standards using master data governance

4/9/24

Guide: Get enterprise data enrichment right with master data governance

4/2/24

Guide: Getting enterprise data modelling right with master data governance

4/2/24

Guide: Improving your data quality with master data governance

4/2/24

How to Get Rid of Customer Duplicates

3/25/24

5 Tips for Driving a Centralized Data Management Strategy

3/18/24

What is Application Data Management and How Does It Differ From MDM?

3/18/24

5 Key Manufacturing Challenges in 2025

2/20/24

How to Enable a Single Source of Truth with Master Data Management

2/20/24

What is Data Quality and Why It's Important

2/12/24

Data Governance Trends 2025

2/7/24

What is Data Compliance? An Introductory Guide

2/6/24

How to Build a Master Data Management Strategy

1/18/24

The Best Data Governance Tools You Need to Know About

1/16/24

How to Choose the Right Master Data Management Solution

1/15/24

Building Supply Chain Resilience: Strategies & Examples

12/19/23

Shedding Light on Climate Accountability and Traceability in Retail

11/29/23

What is Party Data? All You Need to Know About Party Data Management

11/20/23

Location Analytics – All You Need to Know

11/13/23

Understanding the Role of a Chief Data Officer

10/16/23

5 Common Reasons Why Manufacturers Fail at Digital Transformation

10/5/23

How to Digitally Transform a Restaurant Chain

9/29/23

Three Benefits of Moving to Headless Commerce and the Role of a Modern PIM

9/14/23

12 Steps to a Successful Omnichannel and Unified Commerce

7/6/23

Navigating the Current Challenges of Supply Chain Management

6/28/23

Product Data Management during Mergers and Acquisitions

4/6/23

A Complete Master Data Management Glossary

3/14/23

Asset Data Governance is Central for Asset Management

3/1/23

4 Common Master Data Management Implementation Styles

2/21/23

How to Leverage Internet of Things with Master Data Management

2/14/23

Sustainability in Retail Needs Governed Data

2/13/23

A Quick Guide to Golden Customer Records in Master Data Management

1/9/23

Innovation in Retail

1/4/23

Life Cycle Assessment Scoring for Food Products

11/21/22

Retail of the Future

11/14/22

Omnichannel Strategies for Retail

11/7/22

Hyper-Personalized Customer Experiences Need Multidomain MDM

11/5/22

What is Omnichannel Retailing and What is the Role of Data Management?

10/25/22

Most Common ISO Standards in the Manufacturing Industry

10/18/22

How to Get Started with Master Data Management: 5 Steps to Consider

10/17/22

An Introductory Guide: What is Data Intelligence?

10/1/22

Revolutionizing Manufacturing: 5 Must-Have SaaS Systems for Success

9/15/22

Digital Transformation in the Manufacturing Industry

8/25/22

Master Data Management Framework: Get Set for Success

8/17/22

Supplier Self-Service: Everything You Need to Know

6/15/22

Omnichannel vs. Multichannel: What’s the Difference?

6/14/22

Create a Culture of Data Transparency - Begin with a Solid Foundation

6/10/22

What is Location Intelligence?

5/31/22

Omnichannel Customer Experience: The Ultimate Guide

5/30/22

Omnichannel Commerce: Creating a Seamless Shopping Experience

5/24/22

Top 4 Data Management Trends in the Insurance Industry

5/11/22

What is Supply Chain Visibility and Why It's Important

5/1/22

The Ultimate Guide to Data Transparency

4/21/22

How Manufacturers Can Shift to Product as a Service Offerings

4/20/22

How to Check Your Enterprise Data Foundation

4/16/22

An Introductory Guide to Manufacturing Compliance

4/14/22

Multidomain MDM vs. Multiple Domain MDM

3/31/22

How to Build a Successful Data Governance Strategy

3/23/22

What is Unified Commerce? Key Advantages & Best Practices

3/22/22

6 Best Practices for Data Governance

3/17/22

5 Advantages of a Master Data Management System

3/16/22

A Unified Customer View: What Is It and Why You Need It

3/9/22

Supply Chain Challenges in the CPG Industry

2/24/22

Top 5 Most Common Data Quality Issues

2/14/22

What Is Synthetic Data and Why It Needs Master Data Management

2/10/22

What is Cloud Master Data Management?

2/8/22

Build vs. Buy Master Data Management Software

1/28/22

Why is Data Governance Important?

1/27/22

Five Reasons Your Data Governance Initiative Could Fail

1/24/22

How to Turn Your Data Silos Into Zones of Insight

1/21/22

How to Improve Supplier Experience Management

1/16/22

​​How to Improve Supplier Onboarding

1/16/22

What is a Data Quality Framework?

1/11/22

How to Measure the ROI of Master Data Management

1/11/22

What is Manufacturing-as-a-Service (MaaS)?

1/7/22

The Ultimate Guide to Building a Data Governance Framework

1/4/22

The Dynamic Duo of Data Security and Data Governance

12/20/21

How to Choose the Right Supplier Management Solution

12/20/21

How Data Transparency Enables Sustainable Retailing

12/6/21

What is Supplier Performance Management?

12/1/21

How to Create a Marketing Center of Excellence

11/14/21

The Complete Guide: How to Get a 360° Customer View

11/7/21

How Location Data Adds Value to Master Data Projects

10/29/21

What is a Data Mesh? A Simple Introduction

10/15/21

10 Signs You Need a Master Data Management Platform

9/2/21

What Vendor Data Is and Why It Matters to Manufacturers

8/31/21

3 Reasons High-Quality Supplier Data Can Benefit Any Organization

8/25/21

4 Trends in the Automotive Industry

8/11/21

What is Reference Data and Reference Data Management?

8/9/21

GDPR as a Catalyst for Effective Data Governance

7/25/21

How to Become a Customer-Obsessed Brand

5/12/21

How to Create a Master Data Management Roadmap in Five Steps

4/27/21

What is a Data Catalog? Definition and Benefits

4/13/21

How to Improve the Retail Customer Experience with Data Management

4/8/21

Business Intelligence and Analytics: What's the Difference?

3/25/21

What is a Data Lake? Everything You Need to Know

3/21/21

Are you making decisions based on bad HCO/HCP information?

2/24/21

5 Trends in Telecom that Rely on Transparency of Master Data

12/15/20

10 Data Management Trends in Financial Services

11/19/20

Seasonal Marketing Campaigns: What Is It and Why Is It Important?

11/8/20

What Is a Data Fabric and Why Do You Need It?

10/29/20

Transparent Product Information in Pharmaceutical Manufacturing

10/14/20

How Retailers Can Increase Online Sales in 2025

8/23/20

Master Data Management (MDM) & Big Data

8/14/20

Key Benefits of Knowing Your Customers

8/9/20

Customer Data in Corporate Banking Reveal New Opportunities

7/21/20

How to Analyze Customer Data With Customer Experience Data Cloud

7/21/20

4 Ways Product Information Management (PIM) Improves the Customer Experience

7/18/20

How to Estimate the ROI of Your Customer Data

7/1/20

Women in Master Data: Rebecca Chamberlain, M&S

6/24/20

How to Personalise Insurance Solutions with MDM

6/17/20

How to Get Buy-In for a Master Data Management Solution

5/25/20

Marketing Data Quality: Why Is It Important and How to Get Started

3/26/20

Women in Master Data: Nagashree Devadas, Stibo Systems

2/4/20

How to Create Direct-to-Consumer (D2C) Success for CPG Brands

1/3/20

Women in Master Data: Anna Schéle, Ahlsell

10/25/19

How to Improve Your Product's Time to Market With PDX Syndication

7/18/19

8 Tips For Pricing Automation In The Aftermarket

6/1/19

How to Drive Innovation With Master Data Management

3/15/19

Discover PDX Syndication to Launch New Products with Speed

2/27/19

How to Benefit from Product Data Management

2/20/19

What is a Product Backlog and How to Avoid It

2/13/19

4 Types of IT Systems That Should Be Sunsetted

1/3/19

How to Reduce Time-to-Market with Master Data Management

10/28/18

How to Start Taking Advantage of Your Data

9/12/18