Data Wellness Framework™ is our suite of unique strategies and services.
Data Strategy
and Governance
Technical
Implementation
Data Management
and Literacy
Process Maturity Modeling
Evaluating the maturity of key processes and the capacity of the organization to meet its goals before charting a roadmap so that it becomes more stable, flexible, accountable, and data literate.
Data Diagnostic
Assessing the current state of the technology environment and data use so that solutions meet user needs and enhance the organization’s processes.
Data Governance
Developing structures for organizations to make lasting decisions concerning data quality and data use across process areas.
Use Case
Development
Facilitating stakeholder sessions to define and document user needs and desired outcomes – resulting in solution designs that impact data access, management, reporting, and analysis for decision making.
AI Policy
Setting clear policies, guidelines, or principles for developing and using AI technologies, as well as defining governance structures and processes to address issues, provide guidance for users, and inform stakeholders.
Infrastructure
Modernization
Redesigning and improving the technical architecture of your organization using best-in-class technologies and data standards to meet institutional goals.
Educator Preparation
Data Model (EPDM)
Managing the collection, integration, and reporting of program data on educator candidates to accelerate effectiveness using a standards-based solution.
Data Standards and Data Model Implementation
Using data standards and deploying the appropriate technical artifacts to connect an organization’s systems and achieve interoperability (Ed-Fi, CEDS, 1EdTech – former IMS Global).
Dashboards, Data
Visualizations and Reports
Creating visualizations for users to meet reporting requirements, make real-time decisions and design interventions for continuous improvement. Unlocking the impact of data products from strategic planning to implementation.
AI Technologies
Enabling machines, algorithms and technologies to learn from appropriate data & experiences and adapt to new inputs to increase the capacity for users to spend on critical functions and expand access to opportunities for all.
User Adoption
Modifying behavior and embedding changes in day-to-day activities so that users leverage the power of data.
Data Use
Building a culture of data use and helping team members learn when, where, and how to evaluate data to advance their organization’s mission.
Data Driven Performance Improvement
Designing efficient, sustainable processes and tools that empower organizations to effectively use data to foster collaborative problem-solving.
Knowledge
Management
Establishing state-of-the-art knowledge management solutions for organizations to document, organize, and share institutional knowledge.
AI Decision
Making
Automating or augmenting processes to allow users to make better-informed, more accurate, consistent and faster decisions using data analysis, forecasting and uncertainty quantification.