Sandhill’s Data Quality Assessment measures and evaluates your organization’s data quality according to processes and qualification of critical data elements against data quality rules for the structure and content of data.
Data quality assessments support the development and attainment of predefined quality expectations and measure data quality for the organizations’ critical data elements, organized by data domains. Initiation of assessments is driven by business objectives, and is focused on highly shared data required by multiple business areas, to support financial reporting and commercial and regulatory compliance.
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.
DMM assessments, unlike other CMMI assessments which focus on a single number, look at a quantitative measure across 26 data management processes. The assessment evaluates an organization’s 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:
The data quality assessment is guided by the objectives set forth in the data quality strategy. To successively achieve a data quality culture, the organization must develop a comprehensive measurable strategy applicable across all business units, business processes, and applications. The adoption of a data quality strategy enables stakeholders to understand the correspondence between organizational objectives, such as enhanced analytics, more accurate risk management, and improved operations. A critical success factor for the data quality program is establish he criteria against which data quality will be measured.
From the industry standards included in the CMMI-DMM, Sandhill Data Quality Assessments develop metrics for the following data quality dimensions:
ISO 8000 is the global standard for Data Quality and Enterprise Master Data. It describes the features and defines the requirements for Master Data Quality and the Portability of Enterprise Master Data.
Within the context of the standard is the notion of Quality Identifiers. A Quality Identifier is an internal product or services identifier or key that is issued and "owned" by an organization and used to resolve a product or service to the minimum ISO 8000 quality data set required to validate the identifier.
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.