Product Listing Page Best Practices: How to Create Better Product Listings with PIM

Calianne Lopez | October 1, 2025 | 13 minute read

Explore the Product Experience Data Cloud

Learn more

Product Listing Page Best Practices: How to Create Better Product Listings with PIM

Master Data Management Blog by Stibo Systems logo
| 13 minute read
October 01 2025
Product Listing Page Best Practices: Improve Product Listings with PIM
26:34

Responsibly sourced materials, expert craftsmanship, competitive prices — your products should be selling out fast. So why aren’t they? Because no one can find them.

And that’s why searchable, detailed product listings are crucial for digital commerce.

"70% of online shoppers say product content can make or break a sale." *Forbes’ Product Content Matters: 70% Of Online Shoppers Say It Can Make Or Break A Sale

We get it. Writing product descriptions is time-consuming, error-prone and tedious. Especially for ecommerce and channel activation leaders managing a large catalog across marketplaces.

But product listings are typically your first and only opportunity to convert shoppers. You need to prioritize thorough, accurate product listings. When you do, you benefit in more ways than one:

  • Customers can actually find your products because they’re searchable across search engines, your website and online marketplaces.
  • Well-crafted product descriptions entice browsers to become buyers, driving conversions across digital commerce channels.
  • You can build customer trust and long-term loyalty by writing product descriptions that accurately reflect the product they’re paying for.

And with over 2.7 billion consumers contributing to global e-commerce in 2024, getting your product descriptions and broader product detail pages (PDPs) right can pay off big.

The problem? Manually writing product listings that are accurate and consistent across multiple channels simply isn’t scalable if you want to continue expansion across global markets and channels.

That’s where Stibo Systems Product Experience Data Cloud (PXDC) comes into play. It helps you automate and scale product content creation, enrichment and syndication so you can launch and convert listings faster.

We're breaking down product listing page best practices and how PXDC’s product information management (PIM) can help you scale.

 

Quick insights

  • 70% of online shoppers say product content can make or break a sale — making accurate, complete listings essential for conversion.
  • Structured data powers search visibility across ecommerce platforms, helping your products show up when and where shoppers are searching.
  • Manual listing processes slow time-to-market and introduce errors, especially when teams rely on spreadsheets and disconnected systems.
  • Product Experience Data Cloud centralizes product data so global teams of any size can work from a single source of truth, reducing duplication and inconsistencies.
  • PXDC’s built-in validation and automated workflows reduce listing errors, rejections and compliance risks. Enhanced content — like videos, reviews and comparison charts — helps shoppers make confident buying decisions and reduces returns.
  • PXDC’s syndication capabilities ensure listings meet each channel’s unique requirements, streamlining distribution across retailers and online marketplaces.
  • Brands using PXDC launch faster, convert more and free up teams for higher-value work, like campaign planning and market expansion.

 

Why do product listings matter?

It’s no longer enough to post a few low-quality photos, a short description and a few reviews. Consumers expect complete, accurate product listings with rich media, sustainability information and detailed specifications that make a lasting first impression.

If you can’t deliver on all of that, would-be customers will scroll past your PDP, or worse, click on a competitor. But if you can? You increase your chances of catching a shopper’s attention and getting them to hit “Add to cart.”

To do so, you’ll need to optimize your product listings by balancing compelling product details and images with search engine optimization-friendly (SEO) keywords that:

  • Help consumers find, click on and purchase your products
  • Boost brand visibility
  • Drive marketplace performance
  • Increase customer trust and confidence in your brand
"On Amazon, A+ Content helps bring your brand’s story to life by adding videos, enhanced images, shoppable product comparison charts and more to your Amazon product detail pages. Basic A+ Content can increase sales by up to 8% — and well-implemented Premium A+ Content can increase sales by up to 20%." *Amazon

Optimized product listings drive search visibility and rankings

Want to sell your products? Shoppers need to be able to find them. Whether you have your own ecommerce shop, sell through a distributor or leverage marketplaces like Amazon, your product listings must be discoverable.

"43% of all ecommerce traffic originates from Google's organic search results, yet approximately 75% of users never scroll past the first page of search results." *BigCommerce’s Ecommerce SEO: How Online Stores Can Drive Organic Traffic

The best way to do that? With structured data and optimized keywords that drive search visibility and help the right buyer find your product at the exact right moment.

Structured data powers search. Both search engines and marketplace algorithms rely on structured data to understand your product listings and match them with shopper queries.

When you follow product listing page best practices, like consistently formatting product attributes — size, color, specifications, materials — your product listings become searchable. More importantly, discoverable.

Product Experience Data Cloud’s PIM capabilities facilitate structured data by centralizing and standardizing product data across all channels, driving more effective product listings that show up in search.

"Continual optimization is crucial to effective product listings. Digital shelf analytics provide real-time insights into listing performance — tracking visibility, engagement and conversions — so you can refine your strategy and beat out competitors."

But visibility is only part of the equation. The content in your product listing determines whether a would-be customer clicks and converts.

Product listings drive buying decisions

So, a shopper found your product... but will they buy it? That depends on your product listing. Following product listing page best practices can help convert them.

Make sure you have complete, accurate listings that foster trust. Shoppers rely on PDPs to answer questions, preview products and reduce uncertainty. If your listing includes inconsistent or outdated information, or is simply missing details, shoppers lose trust and may hesitate — that visitor quickly turns into a lost sale.

"Bad product info drives returns by misleading shoppers — unclear specs, outdated images and missing details can hurt your performance." *My Amazon Guy’s Bad Product Info Drives Returns: Prime Day Success Starts with Accuracy

Not only does a poor product listing diminish trust, but it can also drive sales to your competitors. A recent survey found that 53% of shoppers said that if they received poor product information, they’d abandon their shopping at the site and buy elsewhere.

Other consequences of getting product listings wrong include:

  • Higher return rates
  • Negative reviews
  • Abandoned carts
  • Missed sales and lost revenue
  • Potential lost customer loyalty and trust

The good news? PXDC’s AI-generated content and governance capabilities make sure your product data’s complete and conversion-ready. By automating data standardization and enrichment, you can limit manual errors and create consistent, accurate product listings at scale.

Keep in mind that even when you have accurate listings, they still need to meet the specific standards set by retailers and marketplaces

Retailers and marketplaces have specific product listing standards

Accurate product details and rich content are essential to product listings, but they’re not all you have to consider. Getting them approved and keeping them live requires you to meet the strict listing standards set by retailers and online marketplaces, like:

  • Accurate and unique product identifiers
  • Factual product details, like specifications and materials
  • Clear titles and descriptions that accurately reflect the product
  • High-quality images (and sometimes videos)
  • Seller information
  • Returns and refunds policies
  • Inventory

These standards are meant to provide consistency while maintaining compliance and driving customer satisfaction. And if your listings don’t meet these standards, your listings might be rejected, hidden or deprioritized in search.

Why these standards matter

Online marketplaces like Amazon and Walmart have detailed requirements for everything from character counts and image resolution to attribute formatting — all of which were designed to create an exceptional customer experience.

Dynamic product discovery and search are shrinking paths to purchase, says Forrester’s The Future Of Commerce (US) Vision Report. Product listings must be optimized for fast, frictionless shopping that creates a better CX. If your product data’s incomplete or misaligned with a platform’s expectations, it won’t show up in search, or it might be removed.

"Manage various channel or platform standards with PXDC. It syndicates trustworthy product data across systems, ensuring proper formatting, enrichment and compliance with each channel’s unique standards."

You know why product listings matter, but what makes a good one? We’re breaking it down.

 

What makes a good product listing? 6 Product listing page best practices

The best product listings aren’t the ones with a decent product description and a few high-quality photos. They’re the ones that are easy to find, include enough information and rich media to let customers know exactly what they’re buying and build the trust that drives conversions.

No matter where you’re selling, these six product listing page best practices will help you build product listings that convert across every channel.

6-product-listing-page-best-practices

 

1. Use accurate, up-to-date product specifications

Imagine wanting to buy a TV console. You go to the PDP, looking for the product specifications to see if it can fit in your apartment’s small living room. You order it only to discover upon delivery that the specs are way off, and now you have to return it.

Not a great customer experience.

Product specs are crucial not only to a good CX but in helping customers see if your product meets their needs. When your specs are outdated or incorrect, you confuse potential customers, get poor reviews and likely see increased returns.

And that’s why specs need to be technically accurate, updated in real time across all channels and formatted in a consistent manner. And if you want your listings to drive conversions, make sure your specifications include things that customers want to know most, like:

  • Dimensions
  • Weight
  • Materials
  • Compatibility

2. Write clear, engaging product titles and descriptions

Think of your product title as the first impression. Shoppers see it and it either invites them to visit the PDP or keeps them scrolling through other results. If they get to your PDP, your product description is what convinces them to buy.

Here’s how you can optimize both for conversions:

  • Make your title clear and concise, like West Elm Mango Wood Brown Media Console vs. Brown Wood Console
  • Use a keyword-rich title that’s not overstuffed
  • Keep the title specific to the product’s core attributes, like brand, size and color
  • Highlight key features and benefits in your product description
  • Anticipate common questions and answer them
  • Avoid jargon, overly technical language or vague details
  • Make your product description as clear, relevant and skimmable as possible

You should also consider adding reviews — according to Forrester’s The Future Of Commerce (US) Vision Report, over three-quarters of US Gen Z and Millennial online adults say it’s important that brands offer ratings and reviews on their website.

Pro tip: Use bullet points for key features and keep paragraphs to make your descriptions more readable, especially on mobile.

3. Add rich media

Shoppers want to see what they’re buying. Descriptions provide much-needed context, but high-quality images, videos and 3D assets help them visualize the product, see the features they’re looking for and make more confident buying decisions.

"3D product images can increase conversions by 250%."

Whether it’s a lifestyle image that lets customers see how a product fits into a space, a video demo of how it works or a 360° view that shows every angle, rich media drives engagement and conversions.

Add enhanced content to deliver below-the-fold content that meets retailer and marketplace standards while giving shoppers everything they need to click “Add to cart.”

4. Align attributes and tags to search filters

You already know — if your products aren’t searchable, they’re not shoppable. Your listings need to match how customers filter and search for them. It starts with aligning product attributes and tags to search filters.

Make sure you consistently format attributes (like color, size and materials) and metadata (like category and brand) and match them to filters used in online marketplaces and in ecommerce in general.

Doing so gets rid of friction in the buying journey, making it easier than ever to buy your products.

5. Use channel-specific formatting and compliance

Every ecommerce platform has its own rules, from Shopify and Amazon to Walmart, Target and niche platforms like Etsy. Your product listings need to adhere to each platform’s formatting and compliance requirements.

A one-size-fits-all approach to product listings simply won’t cut it. Different marketplaces and retailers may all require titles, descriptions and photos, but the specifics can vary wildly:

  • Specific character limits for titles and descriptions
  • Unique product identifiers (like GTINs or SKUs)
  • High-resolution images and videos
  • Structured attributes and metadata
  • Clear return and shipping policies
  • Compliance with regional regulations and certifications

While these are all product listing page best practices, they’re also required if you want your listings approved and to show up in search. And with Amazon getting more traffic from search engines than any other ecommerce website (over 459 million global average monthly search visits), you want to show up in search.

Pro tip: Use Product Experience Data Cloud’s enhanced content and syndication capabilities to tailor listings by platform. Your products will stand out to shoppers and meet platform standards.

6. Use a reliable classification and taxonomy

Imagine finding the product you’re looking for, but all the crucial details are spread throughout the PDP, with no clear structure or logical flow. It creates a frustrating customer experience and can impact performance. Your product listings need structure.

Classification and taxonomy — how you organize and label your product data — play a critical role in how easily shoppers can find, understand and trust your listings. Without structure or an outdated taxonomy, not only do you confuse shoppers, but you also encounter other problems, like:

  • Miscategorized or hard-to-find products
  • Filters and search functions that don’t work properly
  • Cross-channel syndication errors

Or, you can build a reliable taxonomy that ensures your product attributes are formatted and aligned with how people search and shop for products.

Our Product Experience Data Cloud can help you create and maintain a scalable taxonomy by:

  • Centralizing product classification across systems and teams to eliminate silos and inconsistencies
  • Standardizing attributes and categories to meet retailer and marketplace requirements
  • Supporting flexible product hierarchies for bundles, variants and custom configurations

PXDC makes managing your product data easier, so you can publish faster and get your product listings to show up in search.

 

How manual processes slow down product listing creation

When you have a small catalog, creating product listings manually seems manageable. But as your catalog grows and you start selling across channels — like your site, Amazon and Target — what was once doable is now a bottleneck.

And when you’re working with disconnected systems, spreadsheets and approval workflows, everything grinds to a halt. Instead of fast product launches that generate revenue, you’re stuck:

  • Hunting down data across siloed systems and sources (like spreadsheets)
  • Reformatting content for each channel you sell on
  • Chasing down approvals across departments
  • Manually copying and pasting product details across systems

These patchwork solutions are incredibly inefficient and potentially risky. Manual data entry introduces errors, creates inconsistencies across platforms and can delay launches that lead to a poor customer experience and lost sales opportunities.

Here are some of the most common operational pain points — and how PXDC helps solve them.

Too many spreadsheets and data sources

Despite advances in technology, a wealth of product data still lives in spreadsheets and legacy systems. It’s often spread across disconnected systems, making it impossible to maintain accuracy, speed or consistency.

Instead of seamless product launches across all your ecommerce channels, you’re wasting time searching for the most up-to-date product specifications, images and descriptions — all without certainty that you actually have the most accurate data.

The result? Slowed listing creation and increased risk of errors before the product listing even goes live.

Repetitive data entry and reformatting

Manually entering data or copying and pasting product details is innately error-prone, but it’s also incredibly time-consuming. And when you’re trying to publish multiple product listings across a dozen different platforms, you can’t afford to manually re-enter the same product specs and descriptions or upload the same images over and over.

Plus, re-entering all the product details to adhere to different platform standards adds another layer of complexity, slows down time-to-market even more and could even hurt your listing quality.

Inconsistent content across channels

Lost sales. Higher return rates. Mismatched expectations. These are all the result of inconsistent product listings. When your listings vary across channels — whether it’s different descriptions, images or specifications — they create customer confusion and weaken their trust in your brand.

Without a centralized system, you can’t maintain the uniformity needed to create accurate, consistent product listings across your site and marketplaces.

Delays in review and approval processes

Another roadblock to speedy product listing creation? A lack of automated workflows. Without them, you’re stuck in back-and-forth email threads trying to get approval to go live. Approvals become a bottleneck, and you lose out on revenue while your product listings sit in limbo.

These challenges are frustrating, time-consuming and costly. But with our Product Experience Data Cloud, you can eliminate bottlenecks to build a faster, more scalable product listing process.

 

How PXDC helps you create better product listings — and fast

Product Experience Data Cloud centralizes, validates and syndicates your product content across internal systems, teams and your ecommerce channels. Bringing together the power of PIM, enhanced content and seamless syndication into a single cloud-based, composable solution, Product Experience Data Cloud helps you:

  • Adhere to product listing page best practices
  • Launch product listings faster
  • Reduce listing errors
  • Deliver consistent, high-performing listings on every channel

create-better-product-listings

 

One place for all your product content

PDXC's PIM core acts as a reliable data foundation for all product data, centralizing structured content, like:

  • Product specifications
  • Descriptions
  • Images
  • Video
  • And more

It allows ecommerce, marketing and operations teams to work from the same, governed data — no more data silos, duplication or inconsistencies across channels.

Built-in validation ensures data quality

Product Experience Data Cloud automatically enforces data governance through built-in validation rules that verify accuracy, completeness and formatting. This ensures you’re working with high-quality and trustworthy product data that meets both internal standards and external compliance requirements before your listings go live.

Approval workflows keep teams aligned

With configurable workflows that route product content for approvals across all teams involved, PXDC streamlines cross-functional collaboration. The result? Reduced bottlenecks and increased alignment across teams, which helps you create more accurate, better product listings.

Faster updates across all digital channels

Instead of manual updates that can introduce errors and take time away from other higher-priority tasks, PXDC enables real-time publishing and version control, so any product data updates are instantly reflected on your ecommerce site, marketplaces and retail partners.

Product Experience Data Cloud allows for the agility brands need to respond quickly to market changes, seasonal promotions or compliance updates — without manual rework.

Quick and easy syndication to retailers and marketplaces

PXDC’s product data syndication capability integrates directly with virtually all major retailers and marketplaces, formatting and distributing product data to meet each channel’s unique requirements.

It also supports enhanced content — rich media, like high-quality images, videos, reviews, comparison charts, shipping policies and certifications that help shoppers make informed buying decisions.

Enhanced content is embedded within Product Experience Data Cloud’s syndication workflows, so updates are automatically pushed to every channel. This reduces friction, improves listing quality and helps brands stand out — leading to fewer returns, better reviews and higher conversion rates.

 

5 Benefits of building PIM-powered listings with Stibo Systems PXDC

The reason our Product Experience Data Cloud is so powerful is because it combines PIM, product onboarding, enhanced content and syndication into a single software-as-a-service (SaaS) solution.

When they all work together, PXDC helps you streamline listing creation and accelerate your time to market because you’ve got a foundation of trustworthy product data.

Take a look at the five business outcomes our customers achieve with Product Experience Data Cloud.

5-business-outcomes-you-can-achieve-with-pxdc copy

 

How to create a better product listing process

Creating better listings starts with improving how you manage your product data and then following product listing page best practices. From auditing existing workflows to rolling out a scalable PIMP solution, here are a few ways you can build a more efficient and accurate listing process optimized for conversions.

Audit your current product listing process

First up? Auditing. Map out how your teams created product listings today:

  • Where does the data come from?
  • How is it validated?
  • What systems do you use?

Asking the right questions and thoroughly reviewing and identifying inefficiencies, redundancies and gaps helps you understand what’s causing delayed launches, where you can reduce risk and how you can create more efficient process built around reliable data.

Identify content gaps and approval bottlenecks

Next, start looking for missing product details, outdated specs or inconsistencies in formatting across different channels. Then, assess how long it takes for listings to get approved — if teams are stuck in email threads or waiting for feedback, you’re losing time where your product listings could be generating revenue.

Paired with trustworthy product data and seamless syndication, streamlining approvals can help you launch faster with accurate listings that build customer trust.

Standardize core attributes across systems

Customers expect consistency no matter where they shop. If one listing includes 3D photos, videos and enhanced content but another only includes outdated photos, you risk losing sales and creating a confusing, poor CX.

Standardizing attributes across systems ensures your listings are searchable, compliant and aligned with retailer requirements. It also reduces errors and simplifies syndication.

Implement a scalable PIM solution

Manual processes can’t keep up with growing catalogs and evolving channels. A scalable PIM solution — like Product Experience Data Cloud — centralizes product data, automates validation and approvals and powers real-time updates across platforms. It’s the foundation for building listings that convert and scale.

 

Build better product listings with Stibo Systems

Product listings are make-or-break in digital commerce — they either entice shoppers to “Buy now” or scroll past to the next listing. The difference between those that sell and those that get skipped over? The ones that convert are complete, accurate and consistent everywhere.

But getting every product listing right, across every channel, isn’t easy — especially at scale. That’s where PXDC comes into play.

Stibo Systems Product Experience Data Cloud helps brands and manufacturers streamline listing creation with a centralized, governed foundation of product data. By combining PIM, enhanced content and syndication into a single composable solution, Product Experience Data Cloud helps you launch faster, reduce errors and deliver high-performing listings across every digital shelf.

Ready to build better product listings?

See how PXDC can help you create smoother workflows, scale smarter, boost listing performance and stand out everywhere you sell your products.

Get started
SYS_PXDC_Hero

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

Product Listing Page Best Practices: How to Create Better Product Listings with PIM

10/1/25

How Leading Brands Built Trusted Data with Amplifi and Stibo Systems

9/24/25

Informatica P360 Users: Is It Time for Plan B?

9/11/25

Is Your Data the Cause of Flawed AI Outputs?

9/11/25

10 Dangerous Myths About Managing Your B2B Partner and Account Data

9/9/25

What’s Next for GenAI in Product Experiences?

9/8/25

The Board of Directors’ Guide to Selecting Product Experience Software (With Checklist)

8/28/25

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

What is the difference between CPG and FMCG?

5/7/25

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

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