Our model
Data Product Maturity Model (DPMM)
RDI’s exclusive Data Product Maturity Model (DPMM) is a framework that helps organizations gradually enhance their data competencies, leading to improved data monetization and revenue capabilities.
Four domains
Data Foundations & Governance
The principles and policies for managing data, including quality, security, and compliance.
Data Engineering & Infrastructure
The technical infrastructure to collect, store, and process data so it is accessible and usable.
Analytics & Intelligent Insights
Analytics tools and techniques that turn data into actionable insight for informed decisions.
Security, Privacy & Ethics
Data practices that meet legal and ethical standards and protect customer trust.
Four maturity levels
Reactive Data Management
Teams respond to data issues as they arise. Practices are ad hoc, with little standardization or governance, which causes inefficiencies and missed opportunities.
Standardize Data Practices
Standard definitions and processes reduce errors and improve quality. The organization begins to recognize the importance of data governance.
Proactive Data Governance
Governance frameworks manage data strategically and align it with business objectives, with clear roles for data stewardship and cross-functional collaboration.
Integrated Data Strategy
Data is treated as a strategic asset. Advanced analytics and AI inform decisions and create new revenue streams.
How the model is used
Every RDI engagement starts from the DPMM. It gives you a shared reference point: where your data products sit today, what the next level requires, and which investments move you forward. Most organizations start from one of three points.
Starting from scratch
If governance is ad hoc, begin with the Data Intelligence Startup & Health Check to establish a governance framework and plan.
Preparing for AI
If you are moving toward AI, the AI Readiness Plan assesses your data and AI maturity and produces a prioritized roadmap.
Turning data into revenue
If standards and governance are in place, Data Product Opportunity Analytics identifies where data products can drive revenue and efficiency.
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Running Program
Our managed services keep your metadata current while you build maturity.
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Take a deeper dive
Our two whitepapers go beyond the model overview. Read them to understand the thinking behind the DPMM and how it applies to your business.
Get AI Ready
A strategic framework for data product maturity. Read it to see why your data catalog is critical infrastructure for AI and how to build AI-ready data foundations.
From Data to Dollars
Drive revenue growth through data product maturity. Read it to learn how the DPMM supports data monetization and how each maturity level builds toward revenue.