A practical path from data challenges to action.

Data & AI Strategy and Action Roadmap

The situation

Data requests and interest in AI are growing without shared priorities or a clear connection to organizational goals.

What the work includes

• Stakeholder discovery
• Current-state findings
• Prioritized data and AI opportunities
• An assessment of data quality, governance, and staff readiness
• A phased roadmap with owners, dependencies, and an executive readout

The benefit

A practical basis for deciding where AI can help, where foundational work comes first, and how to move forward responsibly.

Discuss data and AI strategy

Data Governance, Literacy & Culture

The situation

Conflicting definitions, unclear ownership, and uneven data confidence undermine trust in information and responsible AI use.

What the work includes

• A focused governance charter
• A decision-rights and ownership map
• A starter glossary
• A data-quality issue process
• A role-based data literacy and culture-building plan

Governance connects to AI through expectations for permitted data use, privacy, quality, bias assessment, human oversight, and accountability. The work also builds staff understanding of how to question data and AI outputs, recognize limitations, and use evidence in everyday decisions.

The benefit

Governance people understand and practice, with stronger foundations for responsible AI adoption.

Discuss governance, literacy, and culture

Analytics & Data Product Planning

The situation

Reports or product ideas are not tied to real user decisions.

What the work includes

• A decision and audience map
• KPI definitions
• Reporting requirements
• A prioritized product backlog
• An adoption plan

The benefit

A practical brief for the team building or improving analytics.

Discuss analytics and data product planning

Fractional Data Leadership

The situation

A growing organization needs senior data direction without immediately filling a full-time executive role.

What the work includes

• An agreed leadership remit
• Recurring prioritization and decision forums
• Team coaching
• Executive progress briefings

The benefit

Continuity and accountability. Availability and cadence are agreed for each engagement.

Discuss fractional data leadership

Data Modernization & Operations Leadership

The situation

Legacy data systems and fragmented ownership make modernization difficult to coordinate.

What the work includes

• A modernization charter
• A target operating model and ownership map
• A migration and legacy-retirement roadmap
• Milestones, dependencies, and a risk and decision log
• A transition-readiness and handoff plan

Roberta leads the modernization effort in partnership with the technical delivery team. Specialist engineering is scoped separately.

The benefit

A coordinated path to modern data infrastructure, with clear accountability for organizational and technical work.

Discuss modernization leadership