We Know What GOOD Looks Like.
DataWise, Inc. is dedicated to assisting organizations to achieve their business goals, which depend on sound management practices to assure accurate, trusted and accessible data.
With the comprehensive results of our Data Management Assessment, and a roadmap of key initiatives to strengthen your data management program, your organization can coalesce around a shared vision, justify funding and make rapid progress.
DataWise is the world leader in conducting comprehensive Data Management Assessments, providing high strategic and tactical value to our clients across many industries. 100% of our many clients have been highly satisfied with the results.
Clarity = Power
For decades, organizations have struggled with fragmented data assets and have often lacked a clear vision of what an optimized future state should be – how they should harness, build, manage, and improve their enterprise data.
- Knowing what you want to achieve
- Collaborative agreement – What does ‘Good’ look like?
- Understanding what needs to be accomplished to get there
- Clear and approved vision, strategy and plans
- Thoughtful planning with organization-wide concurrence.
- Focused energy for goal-oriented pursuit
- Force multiplication with others in tandem
- Ability to conquer obstacles
- Collective enthusiasm demonstrated in confident action.
Our extensive experience in evaluating EDM programs, partnering to create data management roadmaps and strategies, achieving cross-organization support, and educating business stakeholders can help you achieve the clarity you need to power your journey to trusted and governed data assets.
Our motto is:
“Head in the Clouds, Feet on the Ground.”
Melanie managed creation of courses for the CMMI Institute’s Enterprise Data Management Associate (EDMA) and Enterprise Data Management Expert (EDME) certifications. She has delivered over 100 course sessions to date, educating students on four continents.
She excels at development of data management reference models and custom frameworks for benchmarking capabilities. She led creation of the Patient Demographic Data Quality (PDDQ) Framework for Health and Human Services, an abbreviated derivative of the DMM for internal governance organizations (DMM Compass), the Provider Directory Data Quality Framework (PDDQF) for health insurers, the Analytics Consumption Framework for data science teams, and the Data Management Self-Assessment for the US military.