Skip to content

Learn about our organization's purpose, values, and history that define who we are and how we make a difference.

Who we are


Discover how the Mastech InfoTrellis ecosystem is enabling customers to make well-informed decisions faster than ever and how we stand apart in the industry.

Delve into our wealth of insights, research, and expertise across various resources, and uncover our unique perspectives.

Thrive in a supportive and inclusive work environment, explore diverse career options, grow your skills, and be a part of our mission to excellence.

Table of Content

best MDM practices

For organizations, ensuring accessibility, quality, accuracy, reliability, and control of critical data is no longer optional—it's fundamental. Timely access to trustworthy, insightful data empowers businesses to make informed decisions in real-time by discovering impactful opportunities, identifying vulnerabilities, and conducting comprehensive risk assessments.

Master Data Management (MDM) is a cornerstone in achieving this data readiness state. As businesses strive to simplify and digitize core processes while streamlining IT operations for enhanced efficiency, MDM serves as the lynchpin of these efforts. With the volume, velocity, and variety of data growing exponentially, companies face the daunting task of transforming their data into a strategic asset. At Mastech InfoTrellis, we demystify MDM, shedding light on best practices that can propel your business into new realms of growth and efficiency.

On-demand webinar

Data Governance & AI: A Two-Way Street

Watch now
Data Governance

The criticality of MDM in today's business landscape

Before diving into best practices, let's understand the significance of MDM within the contemporary business environment. According to a Gartner report, poor data quality costs organizations an average of $12.9 million annually. An IBM study reveals that 2.5 quintillion bytes data are generated daily, a substantial portion of which constitutes critical business data. As a “Business-Technology” function, MDM processes help navigate this deluge of data and ensure accuracy, consistency and accessibility of critical data. In essence, MDM is indispensable for leveraging critical data elements to achieve desired business outcomes.

How to improve the process of MDM

While Master Data Management (MDM) offers a framework for consistent, high-quality data, its success hinges on meticulous planning and execution. Flawed implementation can exacerbate data quality issues, underscoring the importance of robust data standardization, scrubbing, and matching strategies to deliver tangible value.

Here, we delve into essential best practices to unlock the true business value of MDM:

Establish a clear MDM vision and strategy

A well-defined vision and strategy are the foundation of any successful MDM initiative. This involves identifying the critical business outcomes you aim to achieve through MDM and outlining a clear roadmap. Whether improving customer satisfaction, streamlining supply chain operations, or enhancing decision-making processes, your MDM strategy should align with your overarching business objectives.

Focus on questions that will align your MDM strategy with overarching business objectives:

  • How can we effectively manage critical product and supplier information to enhance supply chain optimization?
  • How can my sales and service organization get real-time customer journey insights so we can improve customer satisfaction and increase cross sell/up sell?
  • How can I understand my customer data better so I can help them with proactive recommendations?

By clearly mapping an MDM implementation to answering questions like the ones above, you gain stakeholder buy-in and ensure the project outcomes and business outcomes are aligned. A comprehensive business case is essential for selecting and implementing the right technology, ensuring it integrates smoothly with your current technology landscape.


Understand the current state of your data

What are your existing data sources? How are they contributing to data clarity or challenges? An initial understanding of the current state is needed before starting on the MDM journey. Such an understanding involves:

  • Identifying data sources: Identifying all systems and applications where your master data resides.
  • Data profiling: Analyzing existing data to understand its quality, consistency, and completeness.
  • Data cleansing: Identifying and rectifying errors, duplicates, and inconsistencies.

This data assessment paints a clear picture of your current data landscape, allowing you to prioritize improvement areas and determine the scope of your MDM project.

Select the right MDM tools and technologies

The MDM landscape offers a plethora of tools and technologies. Consider factors like:

  • Scalability: Choose a solution that can accommodate your organization's current and future data volume.
  • Integration capabilities: Ensure seamless integration with existing systems for efficient data flow.
  • Data governance features: Look for tools that support data ownership, access control, and data quality rules.

Investing in the right MDM technology empowers your data team to manage and govern your master data effectively.

Integration and synchronization strategies

MDM hinges on robust integration and synchronization capabilities. Understanding the proposed integration strategy is critical to any successful MDM solution. Seamless integration with diverse data sources, including big data, is essential for scalability and future-proofing your MDM implementation. Leading MDM solutions offer a hybrid approach, combining batch integration for large data volumes with real-time integration for critical updates, ensuring efficient data exchange and synchronization back to source systems.

Ensure cross-functional collaboration

As I mentioned earlier, MDM is “Business-Technology”. MDM initiatives should be seen as Business transformation programs and not mere technology initiatives. They require widespread organizational commitment and a need to foster cross-functional collaboration, ensuring comprehensive and inclusive of diverse perspectives, enhancing the quality and utility of master data.

Furthermore, securing executive buy-in is paramount, as it allocates the necessary resources and champions the cause across the organization.

Conduct frequent assessments

MDM is an ongoing process that requires continuous improvement. Make sure to access MDM processes periodically. Here's how:

  • Monitor and measure KPIs: Regularly assess how your MDM program is impacting key business metrics aligned with your initial goals. See how MDM processes can be improved / changed to meet with changing business goal posts.
  • Refine data cleansing processes: Be adaptable and adjust data cleansing routines as data sources and business needs evolve.
  • Embrace new technologies: Stay updated on emerging MDM related technologies and be bold to use them in improving business outcomes, achieving new goals, and optimizing for better efficiency.

By embracing continuous improvement, you ensure your MDM strategy remains effective and delivers ongoing value to your business.


Master Data Management is no longer a technology platform but a strategic “Business-Technology” function and an enabler for businesses in the digital age. By adhering to these best practices, you can unlock the actual value of your data, driving stellar business outcomes. From driving customer retention, improving supply chain and manufacturing operations, delivering better care, reducing cost of data ownership, etc., the benefits of a well-executed MDM strategy are manifold. We are in the data and AI era and mastering MDM is undoubtedly emerging as a distinguishing factor for successful organizations.

The real question for businesses today is not whether they should invest in MDM but how quickly and effectively they can harness the potential of MDM to stay ahead in the competitive landscape.

You can streamline your business processes and optimize your IT infrastructure with Mastech InfoTrellis MDM modernization services. Our dedicated team of master data process specialists, consultants, and project managers worldwide delivers innovative solutions tailored to drive growth, enhance operational efficiencies, and ensure regulatory compliance.

Discover how our data experts can empower your business to scale during our upcoming LIVE webinar on redefining your MDM. Register now to secure your spot and gain invaluable insights into transforming your data management approach. Click here to register!


Skanda Shambamoorthy

Client Partner - Data Foundations

With more than 20 years of data and analytics experience, Skanda is certified in Agile Scrum and IBM Cloud Sales, leading global teams in data management projects. Skanda primarily focuses on driving strategic vision, market growth, and team development while maximizing client ROI.