Paths & Services for Expected Results 

• Identify: Data requirements, data sources, insights, and value
• Discover & Prep: Assess Risks, and develop the Data and Insights Strategy
• Design & Build: Manage the data value chain; procure, ingest, and store
• Launch & Integrate: Develop delivery models, governance, and operations
• Monitor & Mature: Support, enhance, and scale data and insights services

Detailed Services

• Data Office Setup & Operations: Establish the business case, organizational vision, operations, and goals of the Chief Data Officer and broader Data Office as a change agent to lead transformation
• Data Strategy: Collaborate with key stakeholders to define a shared vision for data use and initiate implementation within an organization
• Data Governance & Management: Support and enable the information and data needs of an organization and the expectation that data will be accessible, accurate, and consistent
• Data Security, Ethics, & Privacy: Implement data protections and controls to mitigate risks and support organizational responsibility for trustworthy, secure, and transparent data and AI
• Data Architecture & Platform Modernization: Transform functional architecture, infrastructure, and platforms for better enablement of data usage
• Data Literacy & Talent Development: Increase organizational capacity, developing program models to enhance data literacy with a common vision that enables continuous learning and addresses change concerns, while engaging and upskilling the workforce
• Analytics, Automation, & AI: Enable human-like insights, recommendations, and actions by harnessing structured and unstructured data to facilitate mission planning and execution
• Data Asset Development: Reimagine and transform internal use of data as an asset to find new value from data