Data Management Maturity Measurement, DM³

DM³ Assessment

Is your organization's Data Management capabilities fully improved?

Our Data Management Maturity Measurement, DM³ is a comprehensive assessment designed for data management process improvement. The DM³ defines the fundamental business processes of data management and specific capabilities that constitute a gradated path to maturity. It allows us to evaluate organizations against documented best practices, determine gaps, and improve the management of data assets across functional lines of business.

Data Blueprint will Unlock your Data's Capabilities to Maximize your orangization's Return on Opportunity.

Understanding what capabilities your organization will need to achieve a comprehensive Data Management Architecure requires in-depth experience, Data Blueprint has that experience. We will help determine your organization's competencies to achieve higher levels of performance of its data management processes.
Our DM³ Assessment Covers All Major Areas of Data Management Practice

Data Governance

  • Governance Management

  • Business Glossary

  • Metadata Management

Platform & Architecture

  • Architectural Approach

  • Architectural Standards

  • Data Management Platform

  • Data Integration

  • Historical Data, Archiving & Retention

Data Quality

  • Data Profiling

  • Data Quality Assessment

  • Data Cleansing

Supporting Processes

  • Measurement & Analysis

  • Process Management

  • Process Quality Assurance

  • Risk Management

  • Configuration Management

Data Strategy

  • Communications

  • Data Management Function

  • Business Case

  • Funding

Data Operations

  • Data Requirements Definition

  • Data Lifecycle Management

  • Provider Management

How far along is your Organization on its Data Maturity journey?

Data Blueprint offers specific guidance to help your organization to reach the desired level of Data Maturity and Functional Capability. There are five levels of functional capability and maturity. Each process area level is characterized by increasing achievements for process improvement of best practices. 

Level 1
Performed: Data is managed as a requirement for the implementation of projects.
Scale: The capability exists, for at least one project.

Level 2
Managed: There is awareness of the importance of managing data as a critical infrastructure asset.
Scale: The capability has expanded, for at least one line of business, program, or cross-cutting project.

Level 3
Defined: Data is treated at the organizational level as critical for successful mission performance.
Scale: The capability exists at an enterprise wide scale.

Level 4
Measured: Data is treated as a source of competitive advantage.

Level 5
Optimized: Data is seen as critical for survival in a dynamic and competitive market