Take an MVP Approach to MDMHeading

By John Tuttle, Senior Director of MDM

How do you quickly start an MDM program?

The ability to quickly start a Master Data Management program becomes a critical success factor as companies are investing more resources into digital transformation programs. As a central factor in a large enterprise transformation initiative, the MDM program is usually a key starting point and impacts an organization’s ability to quickly and effectively adopt new systems that lead to the future state vision.

So, the question is, “How do I get started quickly?” Many other service providers are offering quick, pre-packaged approaches that promise a fast start or an express timeframe for starting MDM projects. But how much value do they provide?

What is the value of a pre-packaged offering?

There is value to taking a pre-packaged approach, primarily a small, usually fixed, up-front investment. A company is able to get a “first glimpse” at the MDM product that has been purchased and gives them more time to organize the next phases of a project or overall program. The limitation is that a pre-packaged timeline is usually not flexible enough to accommodate any changes or customization to the solution being implemented.

Do requirements matter?

The strength of any MDM system is the ability to make specific additions and custom logic based on business requirements. Often, the most important data attributes for a company are those that differentiate their business from other businesses. The pre-built MDM solutions are based on common, well known data models that fit very well to most business cases. However, to add the most value to an implementation, the system needs to support all known data requirements and those extra, business specific attributes are valuable beyond this core set of attributes. This can be thought of as the “secret sauce” or recipe for success when it comes to digital transformation journeys. Implementations would not be complete or as valuable without them.

To gain the most value out of the investment that companies make in an MDM system, you must include these business specific requirements in any full implementation. Most of the accelerated packaged service approaches actually exclude these customizations and preclude any discussions of requirements until after the fixed time period is completed. This is not an efficient method of implementation as time is spent on deploying a pre-built solution and is lost on gathering requirements and gaining momentum with the business sponsors. At Paradigm Technology, we have a different approach.

Paradigm MVP vs. Other Offerings

MVP solution approach at Paradigm Technology

Our MVP approach to MDM implementations is different in that we focus on the requirements that will make the system viable for business use. The term “MVP” is taken from Agile methodologies and stands for Minimal Viable Product. In practice, the pre-built applications that are deployed by fixed service offerings are not fully viable out of the box. Customizations are needed. In fact, many offerings explicitly state that they are not to be considered a suitable solution for deployment in a production environment. We focus on identifying and creating a solution that is meant to be deployed to production quickly and allows future expansions in subsequent phases or sprints.

The Paradigm MVP approach looks at extensions to the data model for business-specific attributes needed for the initial implementation. We review source systems and include analysis and profiling results, give guidance on technical architecture for production environments, review custom hierarchy needs, and define and tune match rules for rapid deployment. The MVP approach is most often used to deploy the Informatica Customer 360 solution, but can be tailored to other domain solutions or to pre-built industry solutions.

Our experienced team works with clients and their personnel to implement the MVP solution to kick-start their MDM program and start down the path of a digital transformation journey. Are you ready for our help on your journey?

Recent Posts

Executive Perspective: Why Securing Your Data is the Key to Winning with AI

As CXOs, we’re all focused on leveraging AI to drive efficiency, innovation, and competitive advantage. The conversation often starts with infrastructure (GPUs, LLMs, and copilots), but let’s be clear: AI doesn’t run on GPUs. It runs on data. And if our data isn’t secure, nothing else matters. Unsecured and unclassified data undermines trust, exposes us to risk, and jeopardizes the very AI strategies we’re betting our futures on. It’s not about chasing the next shiny tool; it’s about building a foundation that allows AI to scale safely, responsibly, and securely.

Quantifying the Value of Data in Financial Services

In the financial services sector, data is a critical asset that drives profitability, risk management, regulatory compliance, and competitive edge. However, measuring its value remains challenging for many CFOs across sectors of the financial services industry regardless of organizational size or country of operations. CFOs rely on accurate data for forecasting, budgeting, and strategic planning. Quality data leads to better decision-making, optimized capital allocation, and swift responses to market changes. It is also vital for risk management, regulatory compliance (e.g., BCBS 239, Basel III, AML/KYC), and avoiding fines and reputational damage. “Fit for Business Use” data also supports customer retention, personalized services, and improved revenue stability. Data-savvy CFOs leverage insights for long-term growth.

AI Starts with Data: Go From Hype to Results

AI continues to dominate the conversation in business. From executive meetings to strategic roadmaps, AI is no longer just a trend but a real driver of transformation. The challenge is that while nearly every organization is talking about AI, very few are prepared to use it in a way that delivers measurable outcomes and lasting impact. The difference between hype and outcomes almost always comes down to two things: the quality of your data and your organization’s readiness to execute.

Exciting Updates from Informatica World: Paradigm Embraces the Future of Agentic AI

The digital landscape is evolving rapidly, and staying ahead means embracing the latest innovations in data management and artificial intelligence. At this year’s Informatica World, Paradigm is thrilled to share the groundbreaking advancements unveiled by Informatica, centered around their latest agentic AI solutions on the Intelligent Data Management Cloud (IDMC) platform.

Modernizing PowerCenter: The IDMC Way – Better, Faster, Cheaper

For many organizations, Informatica PowerCenter has been the workhorse of their data integration for years, even decades, reliably driving ETL processes and populating data warehouses that feed BI reports. However, this longevity often leads to a complex environment that can hinder agility and innovation.

Boost Growth with Data-Driven Hiring for Boutique Consultancies

Consistency is key to a boutique consultancy. Delivering quality services day in and day out, even as client demand fluctuates, relies heavily on having the right talent at the right time. Perhaps one of the largest operational challenges for small and mid-sized consulting firms, though, is matching recruitment cycles with cyclical demand. Without scalable, data-driven talent practices, consultancies can suffer from misaligned capacity, lost revenue streams, and stalled growth.

Strategies for a Successful Journey in Building the Dream Team

In the whirlwind world of project management, the success of a project often hinges on the strength and consistency of the team behind it. Imagine embarking on a journey where building a high-performing project team is not just about assembling a group of skilled individuals; it’s about fostering collaboration, trust, and a shared sense of purpose. Based on my personal experiences, let me take you through this journey with some strategies I use to help you build and lead a high-performing project team.

The Ultimate Guide to AI-Enhanced APIM Analytics for Enterprise Success

Enterprises increasingly rely on Application Programming Interface (API) Management (APIM) to streamline their operations, enhance customer experiences, and drive innovation. Azure API Management is a comprehensive solution enabling organizations to manage, secure, and optimize their APIs efficiently. However, beyond API management, APIM analytics – particularly when integrated with AI and data analytics – empowers senior executives with critical insights for real-time decision-making.

Why PMOs that Leverage Power BI are More Successful

Project Management Offices (PMOs) are increasingly turning to Microsoft Power BI as a game-changing tool to enhance their project management processes. By leveraging data visualization and analytics, PMOs can make informed decisions, streamline reporting, and improve overall project outcomes.