Model Online / On-Site
Duration
Modules 6 modules

Course Objective & Scope

A promising use case can stall for months when data is scattered, inaccessible or blocked by personal data restrictions. This course makes the data and dependencies an opportunity needs visible early, before resources are committed.

It covers the dimensions of data quality (completeness, accuracy, timeliness, consistency), data ownership and access, labelling needs, document and knowledge base readiness for RAG scenarios, and KVKK/GDPR assessment. Integration, vendor and skills dependencies are analysed as well. Participants prepare a readiness scorecard and dependency map for their own use cases.

Who Should Attend?

  • Use case owners and business unit representatives
  • Data owners, data governance and data management teams
  • IT, enterprise architecture and integration teams
  • AI programme and project managers

Key Takeaways

  • Define a use case's data needs by source, volume and format
  • Assess data quality and accessibility with structured criteria
  • Check document sets for RAG on freshness, ownership and permissions
  • Map technical, vendor and organisational dependencies
  • Build a readiness scorecard and an action plan to close the gaps

Curriculum

Defining the Data Needs of a Use Case
  • Input, target variable and feedback data
  • Structured and unstructured data sources
  • Labelling and sample data needs
Data Quality, Ownership and Access
  • Completeness, accuracy, timeliness and consistency checks
  • Data owner, data steward and access processes
Document and Knowledge Base Readiness (RAG)
  • Document inventory, versioning and freshness
  • Permission model and confidentiality classification
  • Issues with scanned PDFs, tables and forms
KVKK, GDPR and Legal Constraints
  • Identifying personal and special category data
  • Processing purpose, transfers and offshore hosting questions
Technical and Organisational Dependencies
  • System integrations and API access
  • Vendor, licensing and skills dependencies
  • Critical path and dependency map
Readiness Scorecard and Action Plan
  • Scoring by dimension and thresholds
  • Gap-closing actions and owners

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