Data Readiness Assessment for AI Implementation - 4 Weeks

Oakwood’s Data & AI team works with clients to unlock the full potential of AI by ensuring your organization’s data is ready to power intelligent solutions.

Oakwood’s Data Readiness Assessment for AI Implementation provides a comprehensive evaluation of your data environment, ensuring it meets the requirements for successful AI adoption. Our goal is to equip organizations with the ability to leverage Azure's robust capabilities, including services like Microsoft Synapse Analytics, Azure Machine Learning, and Azure OpenAI, to implement AI-driven solutions effectively. This engagement identifies critical gaps in your data ecosystem, aligns your infrastructure with Azure best practices, and establishes a clear path toward AI adoption on Azure.

This tailored engagement is designed for organizations of all sizes, from SMCs to enterprises, seeking to turn data into their competitive advantage.

• Delivery Approach

  • Discovery
    • Conduct stakeholder interviews to understand business objectives and AI use cases.
    • Review the current state of your data ecosystem, including data sources, integrations, and governance policies.
  • Analysis Phase
    • Assess data quality, accessibility, and compliance with AI-readiness benchmarks.
    • Evaluate current infrastructure and identify technical or process gaps.
  • Recommendation Phase
    • Provide a tailored roadmap that addresses identified gaps and prioritizes actionable steps.
    • Deliver best practices for AI-aligned data management and governance strategies.

• Benefits

  • AI Readiness: Gain a clear understanding of whether your data infrastructure can support AI solutions.
  • Actionable Roadmap: Receive a prioritized plan to address gaps in data quality, accessibility, and governance.
  • Strategic Insights: Align your data strategy with your organization’s AI goals and future initiatives.
  • Cost Savings: Avoid unnecessary investments by targeting the exact improvements needed for AI success.

• Deliverables

  • Detailed report highlighting the current state of your data environment and its alignment with AI-readiness standards.
  • A gap analysis identifying specific areas requiring improvement.
  • A tailored roadmap with prioritized recommendations for achieving AI-readiness.
  • Suggested best practices for data management and governance tailored to your organization’s needs.

• Engagement Timeline

  • Week 1: Discovery and stakeholder interviews
  • Weeks 2-3: Analysis and gap identification
  • Week 4: Recommendations and roadmap delivery