Data Maturity & AI Readiness Assessment

Evaluate your organization’s readiness to leverage data and AI effectively.

Possible Deliverables:

• Audit of data infrastructure, technology stack, and processes

• Skills assessment of data teams and leadership

• Governance and compliance review (GDPR, AI Act, etc.)

• Identification of gaps and risks

• Recommendations for immediate improvements and quick wins

• Maturity score and benchmarking against industry best practices

AI & Data Strategy Development

Design a comprehensive, actionable data and AI strategy aligned with your business goals.

Possible Deliverables:

• Assessment of current data and AI capabilities

• Strategic roadmap for AI and data initiatives

• Prioritization of projects based on ROI and business impact

• Business case development for selected initiatives

• Recommendations for technology and tool adoption

• Alignment of initiatives with governance and compliance requirements

Use Case Prioritization & Business Case Development

Identify and focus on data-driven projects with the highest business value.

Possible Deliverables:

• Feasibility assessment of potential data and AI use cases

• Prioritization framework based on impact, complexity, and ROI

• Detailed business case for top-priority initiatives

• Risk analysis and mitigation plan

• Budget and resource estimation

• Roadmap integration with overall data and AI strategy

Data & AI Governance Guidance

Ensure your data and AI initiatives are sustainable, compliant, and trusted.

Possible Deliverables:

• Assessment of current governance structures

• Recommendations for policies, processes, and standards

• Guidelines for ethical AI adoption and compliance

• Integration of governance into data and AI strategies

• Monitoring and reporting framework

• Training and guidance for teams on governance best practices

Inspiration Sessions on Data and Emerging Technologies

Showcase the latest trends and inspire innovation across your organization.

Possible Deliverables:

• Presentations on emerging data and AI technologies

• Industry-specific use case examples

• Half-day, full-day, or multi-session formats

• Brainstorming sessions to spark innovation

• Discussion on relevance and application for your organization

• Actionable ideas for pilot projects

Data Literacy & Organizational Support

Build the skills and knowledge your organization needs to succeed with data and AI.

Possible Deliverables:

• Assessment of current knowledge, skills, and team capabilities

• Identification of future business and data needs

• Development of targeted training programs and learning paths

• Workshops to improve data literacy across teams

• Guidance on embedding data-driven culture and practices

• Ongoing support to align learning with business objectives

Turning Data into Action

• Gather high-level information on business goals, current data initiatives, and challenges

• Align expectations and scope for the engagement

1. Initial Intake

2. Workshop with key stakeholders

• Interactive session with leadership and decision-makers

• Identify strategic priorities and key success metrics

• Discuss gaps and opportunities across data, technology, processes, and governance

I follow a structured, collaborative process to help your organization unlock the full potential of data and AI.

Each step is tailored to your unique context after the first assessment

My Approach

3. Mini sessions with the experts

• Meet with technical and business experts to understand workflows, systems, and skills

• Capture pain points, bottlenecks, and opportunities for improvement

• Assess current data quality, availability, and usability

5. Selection & Prioritization - focus area

4. Initial Assessment & Gap Analysis

6. Advisory & Action Plan

7. Define Objectives & Measurements

• Collaboratively prioritize the most critical topics and high-impact initiatives

• Focus resources on projects with the highest business value and ROI

• Compile findings from workshops and team sessions

• Create an overview of data maturity, AI readiness, and organizational capabilities

• Highlight critical areas of focus and potential quick wins

• Develop a detailed roadmap with recommended initiatives, resources, and responsibilities

• Provide guidance on governance, compliance, and ethical AI practices

• Outline risk mitigation strategies

• Set clear, measurable KPIs to track success

• Define milestones for monitoring progress during implementation

8. Implementation support (optional)

• Program monitoring, steering and reporting

• Support execution of prioritized initiatives to ensure alignment with objectives

• Provide coaching, training, and progress reviews to sustain momentum

Note: This is a generic approach. The exact steps, deliverables, and timeline are customized during the first assessment to fit your organization’s unique needs.

Contact

info@strategicdatahub.nl

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