A collaborative approach to the quantification of the maturity and process improvement for an organization’s data management capabilities.
The Data Management Maturity Model (DMM) is intended as a comprehensive reference model for state-of-the-practice data management process improvement. The DMM defines the fundamental business processes of data management and specific capabilities that constitute a gradated path to maturity. It allows organizations to evaluate themselves against documented best practices, determine gaps, and improve management of data assets across functional, line of business, and geographic boundaries.
Sandhill Consultants helps an organization understand what capabilities they will need to achieve a comprehensive enterprise scale data architecture. Understanding the capabilities is a good first step, but the organization will also need to determine its competency to achieve higher levels of performance of it data management processes.
Sandhill offers a DMM Assessment, incorporating a strategy which centers on the improvement of an organization’s data management process. Sandhill DMM is the key to bringing an effective return on opportunity for data governance efforts, and delivering trusted reliable data.
The capabilities and processes areas covered by the DMM Assessment are:
The DMM presents five levels of functional capability and maturity. Each process area level is characterized by increasing achievements for process improvement of best practices, as follows:
Performed: Data is managed as a requirement for the implementation of projects.
Scale: The capability exists, for at least one project.
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.
Defined: Data is treated at the organizational level as critical for successful mission performance.
Scale: The capability exists at an enterprise wide scale.
Measured: Data is treated as a source of competitive advantage.
Optimized: Data is seen as critical for survival in a dynamic and competitive market.
The DMM is unlike other CMMI assessments as an organization may evaluate its capabilities according to DMM practice statements and example work products. Each practice statement within a process area is scored individually and weighted equally.
Capability maturity within a process area is based on functional capabilities. Maturity is measured according to the achievement within each process area of the functional practices associated with each capability level and all levels below. Although process areas are independent, organizations may select any number of process areas as their focus for building and improving capabilities.
Maturity assessment, as distinguished from capability measurement, requires that all process areas being measured are being performed at the function capability level. For a process area to be scored at a maturity Level 3, the organization must be performing all of the functional practices for Levels 1, 2, and 3. The maturity level can be measured for single process areas, individual categories, or any combination of these, up to and including the whole model. The maturity measurement level is established as part of the scoping phase of the assessment.
The assessment approach consists of collaborative identification of gaps against the DMM framework, synthesized with priorities, business needs, challenges and opportunities.
The assessment methodology combines:
Not only do we sell data modeling software packages, but our extensive knowledge allows us to not only support your organization in proper use, but our own standards products are also available to ensure data efficiencies.