Data Management Maturity Assessment

Our DataWise CEO developed a proven Assessment method in 2012, for our first engagement at the Securities and Exchange Commission, and has led over 35 Assessments to date. We are proud to report that our client satisfaction percentage is 100% and that organizations move quickly to implementation of our customized roadmap recommendations. Clients have a choice of frameworks, selecting the Data Management Maturity (DMM) Model or the Data Management Capabilities Model (DCAM) as the primary reference model. There is flexibility to combine the models if additional content is desired. In addition, DataWise has developed additional reference model content, Data Security and Privacy, enabling organizations to evaluate data security requirements, data classification, data privacy, and entitlement and permissioning. If you want a precise, comprehensive measurement of your data management program, gain consensus on strengths and gaps, and create a strategy to implement effective, practical data management processes, the DMM Assessment is unparalleled as the quickest solution. In planning for and operationalizing your program, our Assessment and Roadmap puts you on a firm foundation with your stakeholders and executives.

• Step One – discover the facts – ‘wherever you are, there you are’
  • Evaluate the current state of data management practices across the organization, with all key stakeholders represented – yielding consensus, the ‘voice of the customer’
  • Measure – ‘We’re here, we want to be there’ – set targets aligned with the business strategy
  • Benchmark – Discover what’s good and what’s challenging across the scope of reference model capabilities
  • Roadmap – Create a targeted sequence of initiatives for rapid progress – scope, capabilities, projects, and time horizon.

The DataWise DMM Assessment delivers Step One. Informed by the detailed report and executive briefing, our clients obtain funding and launch key implementation initiatives.

• Step Two – commit to a permanent Data Management Program
  • Staff – define an organization to lead and execute
  • Strategy – develop the Data Management Strategy with leadership, initiatives, resources, technologies – what you’re committing to and when
  • Start – determine the domains / data sets most critical to mission success
  • Pilot and then institutionalize sound practices (policies, governance, processes, standards, and education).

Conducting a facilitated DMM Assessment yields important benefits to an organization, as it fosters extensive organizational engagement and delivers impactful results in a very short timeframe. Here’s what it does for your organization:

• Fosters collaboration through broad stakeholder participation
• Evaluates capabilities by consensus agreement
• Solicits key business input through senior staff interviews
• Verifies implementation with work product reviews (evidence)
• Reveals specific gaps and quick fixes for each DMM process area
• Analyzes organizational factors that influence program success
• Compares DM performance to an industry-wide benchmark
• Yields a customized roadmap of customized project initiatives over a multi-year timeframe, with business cases, key tasks, and resource recommendations.