Data Management
Data management is defined as understanding the current and future data needs of an enterprise and making that data effective and efficient in supporting business activities. It is responsible for guiding the transformation of strategic organizational information needs into specific data requirements, associated with particular technology system development projects.All organizations have data architectures, whether explicitly documented or implicitly assumed. Data management is responsible for understanding and documenting that architecture's capabilities, and making the architecture more useful to the organization. It encompasses policy and technical processes ranging from strategic data planning; to the creation of reusable data assets; to database design, implementation, and maintenance.
DMPA
Data Blueprint has developed a unique method for rapidly assessing the maturity of your organization's data management practices. The foundation of the assessment revolves around structured interviews with key personnel identified by Data Blueprint and your organization. These interviews permit our analysts to obtain assessments of the manner in which the five data management practices areas are implemented in your organization. They are:- Data Program Coordination
Providing appropriate DM process and technological infrastructure - Enterprise Data Integration
Achieving enterprise data sharing among systems and across organizational boundaries - Data Stewardship
Ensuring appropriate levels of governance and responsible management of organizational data assets - Data Development
Implementing systems ensuring access to actionable data within specific business areas - Data Support Operations
Maintaining data assets using effective and efficient means which complement business continuity operations
Your confidential results are compared to our database of over one hundred organizations all over the world. The assessment details how your organization compares to current industry best practices and with other organizations in your industry (if available). In addition, it details specific data management improvements that reduce the risk of missed milestones and increased IT project costs. Armed with this knowledge, your organization can take the necessary actions to increase the maturity of its data management practices. Read about a recent DMPA success story or listen to an interview with Dr. Peter Aiken, DMPA creator and Data Blueprint founder.
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The DMPA is offered as a tiered service. Each tier provides a different level of granularity to meet the specific needs of your organization.- Self-reported
Data Blueprint will interview and deliver a comprehensive report describing the results as perceived by selected members of your staff. - Self-reported and Verified
Data Blueprint will interview and audit a percentage of the results through verification, permitting your organization to validate the perceptions of the organizational team members. - Investigative
Data Blueprint will assess based upon information obtained through our auditing procedures permitting the organization independent analysis of the state of its data management practices.
The Data Management Practices Assessment is available only from Data Blueprint. For more information, contact our DMPA specialists at dmpa@datablueprint.com.
