In my experience, data management is both a mission critical and an undervalued capability. Data as a valued, enduring and managed asset with known qualities the vision for the data ecosystem is to enable frictionless data access and sharing.
Mission Social and Institutional
The mature data ecosystem will be achieved by a best practice approach to the management of data in which agreed policies, principles and practices are adopted by all participating stakeholders throughout the data and research lifecycle in order to facilitate sharing and access to quality assured data by Challenge stakeholders.
Technical
The data ecosystem will be supported, enabled and facilitated by a federated infrastructure in which data may be collected from traditional sources and new technologies, curated, published, analyzed, modelled, linked, used and reused but accessed through a single point of access, from its authoritative point of origin, with discovery and visualization tools.
With stage models like the CMMI Institute Data Management Maturity Model (DMMM) help organizations assess an organization’s maturity level. Developed by ISACA is a framework to assess and improve the financial service's data management capabilities.
The DMM Model aims to assess data maturity at a single agency. By providing a structured and standard framework of practices, the DMM can be leveraged by organizations to build their own roadmap to data management maturity. The DMM may be used in whole, as an organization-wide evaluation baseline/benchmark, approached as a strategic initiative to establish or enhance the data management program. It may also be used in part, employing selected Process Areas in a defined or custom profile.
What is a Capability Maturity Model and Key Terms:
- Capability Maturity Model: “A model that contains the essential elements of effective processes for one or more areas of interest and describes an evolutionary improvement path from ad hoc, immature processes to disciplined, mature processes with improved quality and effectiveness.”
- Maturity: “The extent to which an organization has explicitly and consistently deployed processes that are documented, managed, measured, controlled, and continually improved. Organizational maturity can be measured vi a appraisals.”
- Maturity Level: “Degree of process improvement across a predefined set of process areas in which all goals in the set are attained.”
- Process: “A set of interrelated activities, which transform inputs into outputs, to achieve a give n purpose. The terms process, sub-process and process element form a hierarchy with process as the highest, most general term, sub-processes below it, and process element as the most specific. A particular process can be called a sub-process if it is part of another larger process. It can also be called a process element if it is not decomposed into sub-processes. This definition of process is consistent with the definition of process in ISO 9000, ISO 12207, ISO 15504, and EIA 731. ”
- Process Area: “A cluster of related practices in an area that, when implemented collectively, satisfies a set of goals considered important for making improvement in that area.”
- Process Assessment: “A disciplined evaluation of an organizational unit’s processes against a Process Assessment Model.”
A Maturity Model consists of a number of entities, including “maturity levels” (often six) which are, from the lowest to the highest, (0) Non Existent, (1) Initial, (2) Basic, (3) Intermediate, (4) Advanced and (5) Optimizing. Each process can have its own Maturity Model, which will express quantitatively the maturity level of an organization regarding a certain process. A Maturity Model also provides a way for organizations to see clearly what they must accomplish in order to progress to the next maturity level. The use of maturity models is widespread and accepted, both in industry and academia. There are numerous maturity models, at least one for each of the most trending topics in such areas as Information Technology or Information Systems.
The DMMM
The DMMM defines 5 maturity levels for data management:
Level 1 - Initial: Ad hoc data management activities, undefined processes. Reactive vs proactive.
Level 2 - Managed: Basic data management processes established. Policies defined but inconsistently adopted.
Level 3 - Defined: Standardized data management processes and policies. Centrally managed across units.
Level 4 - Quantitatively Managed: Data management metrics defined and monitored. Quality metrics tracked.
Level 5 - Optimizing: Continuous process improvement via data analytics. Automation and integration utilized.
The DMMM covers these key data management domains across the maturity levels and their Process Areas:
- Data Management Strategy
- Data Management Strategy
- Communications
- Data Management Function
- Business Case
- Funding
- Data Governance
- Governance Management
- Business Glossary
- Metadata Management
- Data Operations & Integration
- Data Requirements Definition
- Data Life-cycle Management
- Provider Management
- Data Quality
- Data Quality Strategy
- Data Profiling
- Data Quality Assessment
- Data Cleansing
- Platform & Architecture
- Architectural Approach
- Architectural Standards
- Data Management Platform
- Data Integration
- Historical Data, Archiving and Retention
- Supporting Processes
- Measurement and Analysis
- Process Management
- Process Quality Assurance
- Risk Management
- Configuration Management
It provides an organizational assessment of data management competencies and a roadmap for incremental improvements to achieve higher maturity levels based on business objectives and risk appetite. Some key benefits of the DMMM include:
- Identifying data management gaps and risks
- Measuring capabilities against industry benchmarks
- Defining a future state data vision and transition roadmap
- Monitoring progress through periodic assessments
- Driving conversations between IT, compliance, and business units on data governance
INFORMATION SYSTEMS AUDIT AND CONTROL ASSOCIATION(ISACA ®)
CAPABILITY MATURITY MODEL INTEGRATION (CMMI®)
DATA MANAGEMENT MATURITY MODEL (DMMM ®)
