Great Master Data is the outcome of great business processes.
I help organizations strengthen their Master Data Management and Governance practices through practical consulting, business process improvement, and the Master Data Process Framework (MDPF).
Whether you're establishing foundational processes, improving existing practices, or looking for experienced guidance, the goal is simple: make Data Management easier to understand, manage, and sustain.
MDPF: Because trusted data doesn't happen by accident. It happens through intentional, repeatable processes.
UNDER CONSTRUCTION Evolve Business Processes & Elevate Data Operations
In 2025, I founded DataOps Evolve & Elevate Consulting with a simple mission: to help organizations and data professionals improve the way they create, govern, and maintain trusted Master Data.
Throughout my career, former colleagues, managers, clients, and industry professionals have regularly reached out to learn more about my approach to managing Master Data. More specifically, they wanted to understand the business processes I establish and sustain to effectively manage and govern Master Data across an organization. (My Secret Sauce)
Those conversations ultimately inspired me to develop the Master Data Process Framework (MDPF)—a practical methodology built on decades of real-world experience participating in and leading enterprise data initiatives, business process improvement efforts, and system implementations.
Introducing the Master Data Process Framework (MDPF)
This website, along with my upcoming book and educational resources, is dedicated to sharing MDPF with both data and non-data professionals.
My goal is to make my practical, repeatable approach accessible to others by providing guidance for planning, designing, mapping, documenting, governing, implementing, and continuously improving the business processes required to create and maintain trusted Master Data across one or many enterprise systems.
MDPF transforms complex Master Data activities into clear, repeatable business processes.
By simplifying process discovery, workflow mapping, documentation, governance, and continuous improvement, organizations can better understand their current practices, identify opportunities for improvement, standardize execution, reduce errors, and establish trusted, auditable Master Data.
The result is a more consistent, sustainable approach to managing Master Data that supports enterprise-wide operational excellence and digital transformation.
Practical. Scalable. Adaptable.
Whether you're implementing a new ERP, PLM, PIM, CRM, MDM, PDM, or another enterprise system—or simply looking to establish or improve existing Master Data practices—MDPF provides practical, scalable guidance that can be tailored to your organization's unique culture, business processes, terminology, and objectives.
The goal isn't to introduce unnecessary complexity or another layer of technology. It's to establish the business processes, ownership, and governance needed to create and maintain trusted Master Data.
That's the foundation of DataOps Evolve & Elevate Consulting.
Keep it simple. Elevate your data.
Services
Resources
Empowering Data Understanding
Explore practical resources designed to make Master Data and Data Management easier to understand. From foundational Master Data concepts to everyday data literacy, these materials help individuals and organizations build knowledge and confidence.
Whether you're a data professional or simply curious about the data all around you, discover resources to support your learning and growth.
Consulting
Practical Guidance. Tailored Solutions.
Every organization has unique Data Management and Governance challenges. I provide experienced consulting and advisory services to help you understand your current state, identify opportunities, and develop practical approaches for improvement.
Whether you need strategic direction, process improvement, organizational guidance, or one-on-one professional advice, I work collaboratively to help you move forward with clarity and confidence.
MDPF Education
Simplify. Standardize. Elevate.
The Master Data Process Framework (MDPF) provides practical guidance for mapping, documenting, and standardizing end-to-end Master Data processes.
Explore individual classes and learning packages designed to help Data Management professionals strengthen business ownership, governance, and process-based Master Data Management.
Engagements
Data Management & Governance
I am committed to helping organizations build practical, sustainable Master Data management and governance capabilities through proven methodologies, coaching, and collaborative knowledge transfer.
Every organization has a unique business model, systems landscape, and level of data maturity. My approach is designed to adapt to your organization's evolving needs, helping you establish data processes specifically to support data management and governance practices that are practical, scalable, and easy to sustain over time.
I firmly believe that the foundation of successful Master Data management and governance is well-designed business processes.
Technology, governance, and organizational structures are all important, but it is the business processes that connect people, systems, and data into a repeatable, sustainable way of working. When business processes are unclear or overly complex, data quality, efficiency, and governance inevitably suffer.
Business Process Management
Project Management
Every business initiative—whether it's a new product launch, ERP implementation, PLM deployment, acquisition, regulatory requirement, or process improvement effort—can be viewed as a project. These initiatives often become (or should become) the catalyst for improving Master Data management and governance practices.
Organizations with mature Data Management and Governance capabilities recognize that effective project management is an essential part of successfully implementing and sustaining change. Every new project introduces opportunities to improve business processes, strengthen governance, and establish more consistent Master Data practices.