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Master Data Governance

Ensure that master data governance is in place at every step of your data value chain, from collection and authoring to publishing and reporting.


Find out how by exploring the resources below.
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ANALYST
REPORT

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MDM
STRESS TEST

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ADDITIONAL 
RESOURCES

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BLOG
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Data modelling
Data Quality
Enrichment
Industry standards
Rich content

Data modelling

Without a solid data model, your organization could face issues like incorrect orders and compliance breaches.

Our guide helps define and assess your data model, emphasizing the crucial role of master data governance.

Read guide
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Data quality

If employees lack trust in their data, decision-making suffers, hindering efficiency.

 

Inaccurate customer information leads to dissatisfaction and lost sales. Our guide defines good data quality, highlights potential issues, and guides you toward excellence.

Read guide
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Enrichment

Lose control of your third-party data, and your data enrichment will become data impoverishment.

 

Get data enrichment right with these expert insights.

Read guide
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Industry standards

Using inconsistent terminology among thousands of suppliers and customers leads to confusion, delays, and errors.

 

Ensuring compliance with industry standards and implementing checks at the point of data entry are essential to prevent these issues.

Read guide
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Rich content

Think of the best online shopping experiences, like Amazon's consistent product pages or IKEA's interactive room planner.

 

But how can you replicate these across various retailers, markets, and languages?

 

Discover how master data governance ensures accurate and consistent data in our guide.

Read guide
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ANALYST REPORT How to Measure and Communicate the Business Value of MDM

Good master data is critical to the success of an organization’s operations. But MDM is often treated as a technology project, using technology metrics for success. Start linking master data to business outcomes, with the Gartner® Value Pyramid. 

Gartner, How to Measure and Communicate the Business Value of MDM, Sally Parker, Andrew White, 19 July 2023 GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.


Read the report
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Stress test Put your master data governance capabilities to the test

Master data governance is crucial for ensuring data quality, developing complex data models, conforming to industry standards, enriching data, and developing rich content.

Explore the effectiveness of your current capabilities, and how you can improve them, by answering these nine quick questions.

 Take self-assessment
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Additional resources

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White Paper: Build a data culture to drive business success

Explore the importance of data management, governance and quality, as CDOs reveal their top priorities—including how to achieve better business outcomes by building a data culture.
Read more
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ROI Calculator: Quantify your data management investment return

There is great financial value to be gained from improving data quality and automating data processes. The ROI Calculator can help you build your business case for master data management.
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Customer Story: One single source of truth for McDonald’s Discover how we helped McDonald’s Corporation evolve from achieving 40-50% of its data quality KPIs to over 80% across every market—and coming close to 100% for some markets. 
Watch the video
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How MDM can help Data Executives like you Discover how master data management is the key to breaking down data silos and supporting business initiatives, extracting maximum value from your data.
Watch the video
 

Ready to
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Explore how you can bring data transparency to your business with an easy and scalable solution that provides an embedded, centralized data governance approach.
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