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Accelerate your data and AI readiness.

Certification and practice.

Readiness is people before tools. Prodago helps three ways: a platform that applies the playbooks, advisory services backed by a knowledge base, and training that builds the skills in your teams, faster. Two tracks: prepare for the DAMA CDMP certification exams, or learn how to steward, architect and use data and AI.

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Who delivers

20+ years of data management training. Thousands of professionals trained.

Every course is designed and delivered by CDMP Master Certified Trainers, with more than twenty years of data management training behind them. Course content follows the DAMA-DMBOK, the reference body of knowledge that the Prodago knowledge base also builds on.

  • CDMP Master Certified Trainers
  • DAMA-DMBOK aligned content
  • Private delivery for your team, virtual or on site
  • 8 to 20 participants per session
Track 1 · Certification

CDMP certification

8 courses

Prepare for the DAMA CDMP exams, one knowledge area at a time.

The Certified Data Management Professional (CDMP) is the DAMA International certification. Start with the Data Management Fundamentals exam, then add the specialist exams that match your role. Each course covers the DMBOK chapters examined, with exam technique, sample questions and five weeks of practice quizzes after the course.

Track 1 · CDMP certification · Course 1 of 8
14 days

Data Management for Certification

CDMP Data Management Fundamentals

The foundation exam. Every knowledge area of the DMBOK in four days.

CDMP Data Management Fundamentals

The complete DAMA-DMBOK foundation across all data management functions.

This course covers the entire DMBOK Version 2 Revised Edition examined in the CDMP Data Management Fundamentals exam. Predominantly theoretical, it works through the context diagrams, drivers, essential concepts and activities of every data management function in the DAMA framework, with use cases, examples and the connections between related concepts.

Why attend
  • Stay compliantManage data to meet business and regulatory requirements.
  • Better decisionsSee how good data improves insight and smarter choices.
  • Clarify rolesDefine responsibilities that improve teamwork across the organization.
  • Data excellenceBuild a culture of high-quality, well-governed data.
Course outline
Day 1

Introduction and pre-assessment. Data Management (Ch. 1). Data Governance (Ch. 3). Data Quality (Ch. 13).

Day 2

Data Architecture (Ch. 4). Metadata Management (Ch. 12). Data Integration and Interoperability (Ch. 8). Reference and Master Data (Ch. 10).

Day 3

Data Modelling and Design (Ch. 5). Data Warehousing and BI (Ch. 11). Big Data and Data Science (Ch. 14). Data Handling Ethics (Ch. 2).

Day 4

Data Storage and Operations (Ch. 6). Data Security (Ch. 7). Document and Content Management (Ch. 9). PDMMA. Exam registration, categories and practice. Post-assessment.

At a glance
Duration
4 consecutive days, plus 5 weeks of access to practice quizzes
Format
Lecture, practice quizzes, exam technique and study group
Materials
Course notes, practice quizzes, templates
Delivery
CDMP Master Certified Trainer
Class size
8 to 20 participants
Included with the course
  • Practice quizzes with 5 weeks of access after the course
  • CDMP exam technique, categories and sample questions
  • Study group participation
  • Course notes covering every DMBOK v2 knowledge area
Who should attend

All data management professionals seeking a complete, structured grounding in the DAMA-DMBOK framework.

Anyone preparing to write the CDMP Data Management Fundamentals exam.

What you will be able to do
  • Walk into the CDMP Data Management Fundamentals exam knowing exactly what to expect
  • Navigate all eleven DAMA-DMBOK knowledge areas with confidence
  • Explain the drivers, principles and purpose of every data management function
  • See how the functions connect, and why that matters in practice
  • Speak the shared professional language of data management
  • Apply DMBOK concepts and activities to your own role

“Data management is not a disconnected set of people, skills and / or tasks, but a comprehensive discipline. Understanding how these functions connect is what truly prepares professionals for certifications, assessments, and real-world execution.”

Howard Diesel, CDMP Master Certified Trainer
Ask about training for your teamPrivate delivery for your team, virtual or on site.
Close this courseAll 8 CDMP certification courses
Track 1 · CDMP certification · Course 2 of 8
23 days

Data Governance for Certification

CDMP Data Governance Specialist

Govern data as a business asset: policy, maturity assessment, roles, change.

CDMP Data Governance Specialist

Learn to govern and leverage data as a business asset.

This course provides the knowledge you need to pass the CDMP Data Governance Specialist exam, including exam technique and practice questions. It gives data professionals a structured approach to data governance with clearly defined objectives and measurable outcomes.

Why attend
  • Smart complianceAlign data use with business goals and legal rules to reduce risk and stay compliant.
  • Better decisionsUnderstand how data quality drives efficiency and smarter choices.
  • Clear rolesSet responsibilities that make business and IT teamwork smoother.
  • Strong data cultureBuild lasting data awareness and good practice across the organization.
Course outline
Day 1

Introduction. Data-value driven management. DG pre-assessment. Data Management (DMBOK Ch. 1). Strategic alignment model, vertical and horizontal alignment. Data Governance (DMBOK Ch. 3): DG recipe, DMMA, data strategy, practice and policy definition.

Day 2

Data Management Maturity Assessment (Ch. 15). Organizational Change Management (Ch. 17): stakeholder engagement, communication and training plans. Data Handling Ethics (Ch. 2): ethical impact assessment, GDPR ethics. Roles and Expectations (Ch. 16): operating model, data people strategy.

Day 3

Data governance assurance, knowledge-area measurement and oversight. Lifecycle governance: plan and design, enable and maintain, use, enhance and dispose. DG post-assessment.

At a glance
Duration
3 consecutive days, plus 5 weeks of access to practice quizzes
Format
Lecture, quizzes, exam technique and practical exercises
Materials
Course notes, practice quizzes, templates
Delivery
CDMP Master Certified Trainer
Class size
8 to 20 participants
Included with the course
  • Practice quizzes with 5 weeks of access after the course
  • CDMP exam technique, categories and sample questions
  • DMMA and policy definition templates
  • Course notes covering DMBOK Ch. 1, 2, 3, 15, 16 and 17
Who should attend

Data governance professionals and all data professionals, including Chief Data and Information Officers, lead data stewards, data quality, AI governance and master data specialists, data architects, data management specialists and cybersecurity specialists.

Anyone preparing to write the CDMP Data Governance Specialist exam.

What you will be able to do
  • Walk into the CDMP Data Governance Specialist exam knowing exactly what to expect
  • Define data policies, processes and a business glossary that people actually use
  • Plan, prepare and run a Data Management Maturity Assessment (DMMA)
  • Build a data strategy aligned to real business objectives
  • Prepare an ethical impact assessment and handle data responsibly
  • Lead the change management that makes governance stick

“Governance isn't about controlling people; it's about designing data policy frameworks and awareness strategies that empower the business to use its data safely, securely, and profitably.”

Howard Diesel, CDMP Master Certified Trainer
Ask about training for your teamPrivate delivery for your team, virtual or on site.
Close this courseAll 8 CDMP certification courses
Track 1 · CDMP certification · Course 3 of 8
32 days

Data Quality for Certification

CDMP Data Quality Specialist

Measure, manage and improve data quality, with a hands-on Power BI assessment.

CDMP Data Quality Specialist

Hands-on assessment in Power BI, and content beyond the DMBOK for a Practitioner or Master pass.

This course covers every aspect of a data quality professional’s responsibilities and prepares you to confidently take the CDMP Data Quality Specialist exam. DMBOK Version 2 Chapter 13 is covered in detail, plus extra material beyond the DMBOK to enable a Practitioner or Master pass, with use cases, examples and links to the other data management functions.

Why attend
  • Stay compliantManage data in line with business goals and regulation to reduce risk.
  • Better decisionsSee how data quality drives decisions and business performance.
  • Clarify rolesDefine responsibilities that improve business and IT teamwork.
  • Data excellenceBuild a culture of good practice and continuous improvement.
Course outline
Day 1

Introduction and DQ pre-assessment. Data Quality (DMBOK Ch. 13): business drivers, goals and principles, thought leaders, essential concepts (criticality and DQ dimensions), activities, tools and techniques, preventative and corrective actions, basic statistics, implementation. DQ and the other knowledge areas. DQ governance: data strategy, practice definition, policy management.

Day 2

Data quality tools. Frameworks and methodology review. Assessment methods and tools. Practical: initial data quality assessment using Power BI. CDMP exam review and sample questions. DQ post-assessment.

At a glance
Duration
2 consecutive days, plus 5 weeks of access to practice quizzes
Format
Lecture, quizzes, exam technique and a practical exercise in Power BI
Materials
Course notes, practice quizzes, templates
Delivery
CDMP Master Certified Trainer
Class size
8 to 20 participants
Included with the course
  • Practice quizzes with 5 weeks of access after the course
  • CDMP exam technique, categories and sample questions
  • Power BI assessment workbook and templates
  • Course notes covering DMBOK Ch. 13 and beyond
Who should attend

All data professionals and data quality professionals who want to measure, manage and improve the quality of enterprise data.

Anyone preparing to write the CDMP Data Quality Specialist exam.

What you will be able to do
  • Walk into the CDMP Data Quality Specialist exam knowing exactly what to expect
  • Perform an initial data quality assessment in Power BI, hands-on
  • Measure quality against the dimensions that matter to your business
  • Choose preventative and corrective actions that stop issues recurring
  • Set up business rules, validation and ongoing monitoring
  • Reach for Practitioner or Master level with material beyond the DMBOK

“Trust is the currency of data management. If your data quality is compromised, so are your executive decisions; building a culture of high-quality data is non-negotiable for operational success.”

Howard Diesel, CDMP Master Certified Trainer
Ask about training for your teamPrivate delivery for your team, virtual or on site.
Close this courseAll 8 CDMP certification courses
Track 1 · CDMP certification · Course 4 of 8
42 days

Data Integration & Interoperability for Certification

CDMP Data Integration & Interoperability Specialist

Connect data across every system: patterns, tools, governance.

CDMP Data Integration & Interoperability Specialist

Connect data seamlessly across every system in your organization.

This course covers every aspect of a data integration and interoperability professional’s responsibilities and prepares you to confidently take the CDMP Specialist exam. It works through the Data Integration and Interoperability chapter of the DMBOK, with use cases and examples, and connects the concepts to the related aspects of the other data management functions.

Why attend
  • Stay compliantIntegrate data across systems while meeting business and regulatory requirements.
  • Better decisionsSee how seamless data flow improves quality and smarter decisions.
  • Clarify rolesDefine responsibilities for integration and improve cross-team work.
  • Data connectivityBuild a culture of connected, interoperable data systems.
Course outline
Day 1

Introduction and DII pre-assessment. Data Integration and Interoperability (DMBOK Ch. 8): introduction, business drivers and goals, essential concepts and activities.

Day 2

DII (DMBOK Ch. 8) continued: tools, techniques, implementation guidelines and governance. Exam categories and practice. DII post-assessment.

At a glance
Duration
2 consecutive days, plus 5 weeks of access to practice quizzes
Format
Lecture, quizzes, exam technique and practical exercises
Materials
Course notes, practice quizzes, templates
Delivery
CDMP Master Certified Trainer
Class size
8 to 20 participants
Included with the course
  • Practice quizzes with 5 weeks of access after the course
  • CDMP exam technique, categories and sample questions
  • Reference templates for integration patterns
  • Course notes covering DMBOK Ch. 8 in full
Who should attend

Data integration specialists, data engineers, data warehousing specialists, DBAs, master data, cybersecurity and metadata specialists, and data managers or citizens expanding their data management knowledge.

Anyone preparing to write the CDMP DII Specialist exam.

What you will be able to do
  • Walk into the CDMP Data Integration and Interoperability exam knowing exactly what to expect
  • Explain the drivers, principles and purpose of integration and interoperability
  • Select the right tools and techniques for each integration pattern
  • Apply implementation guidelines and governance to real projects
  • Connect DII to the other data management functions
  • Produce the DMBOK deliverables your organization needs

“Data only realizes its value when it flows securely to where it is needed most. True interoperability connects business functions seamlessly, proving how deeply different organizational areas depend on one another.”

Howard Diesel, CDMP Master Certified Trainer
Ask about training for your teamPrivate delivery for your team, virtual or on site.
Close this courseAll 8 CDMP certification courses
Track 1 · CDMP certification · Course 5 of 8
52 days

Metadata for Certification

CDMP Metadata Specialist

The context layer: metadata architecture, standards, tools and governance.

CDMP Metadata Specialist

Build the context layer that makes every other data discipline work.

This course covers every aspect of a metadata professional’s responsibilities and prepares you to confidently take the CDMP Metadata Specialist exam. It explains the Metadata chapter of the DMBOK, with use cases and examples, and connects the concepts to the related aspects of the other data management functions.

Why attend
  • Stay compliantManage metadata to meet business and regulatory requirements.
  • Better decisionsUnderstand how metadata improves data context, helping teams decide smarter.
  • Clarify rolesDefine metadata stewardship responsibilities and improve business and IT coordination.
  • Metadata awarenessSupport a culture of metadata use and governance for better quality and accessibility.
Course outline
Day 1

Introduction and pre-assessment. Metadata Management (DMBOK Ch. 12): goals and business drivers, essential concepts, standards. Metadata architecture. Metadata activities.

Day 2

Techniques and metadata tools. Implementation guidelines. Metadata governance. Metadata and personal information. Metadata Specialist exam preparation. Post-assessment.

At a glance
Duration
2 consecutive days, plus 5 weeks of access to practice quizzes
Format
Lecture, quizzes, exam technique and practical exercises
Materials
Course notes, practice quizzes, templates
Delivery
CDMP Master Certified Trainer
Class size
8 to 20 participants
Included with the course
  • Practice quizzes with 5 weeks of access after the course
  • CDMP exam technique, categories and sample questions
  • Metadata architecture and governance templates
  • Course notes covering DMBOK Ch. 12 in full
Who should attend

All data professionals involved in business intelligence, data warehousing, data marts and data lakes, including data engineers, DBAs and data scientists.

Anyone preparing to write the CDMP Metadata Specialist exam.

What you will be able to do
  • Walk into the CDMP Metadata Specialist exam knowing exactly what to expect
  • Explain the drivers, principles and purpose of metadata management
  • Design a metadata architecture and select the right standards
  • Apply implementation guidelines and metadata governance in practice
  • Handle metadata and personal information responsibly
  • Connect metadata to the other data management functions

“Without metadata, you just have noise. Defining data using precise, refined vocabulary in a clear Subject-Predicate-Object format provides the critical context needed to transform raw information into a manageable asset.”

Howard Diesel, CDMP Master Certified Trainer
Ask about training for your teamPrivate delivery for your team, virtual or on site.
Close this courseAll 8 CDMP certification courses
Track 1 · CDMP certification · Course 6 of 8
63 days

Reference & Master Data for Certification

CDMP Reference & Master Data Specialist

One trusted source for core business data: MDM architecture and implementation.

CDMP Reference & Master Data Specialist

Make core business data consistent and trusted across every system.

This course covers every aspect of a reference and master data professional’s responsibilities and prepares you to confidently take the CDMP Reference and Master Data Specialist exam. It explains the Reference and Master Data chapter of the DMBOK, with use cases and examples, and connects the concepts to the related aspects of the other data management functions.

Why attend
  • Stay compliantManage core business data to meet regulatory and operational standards.
  • Better decisionsConsistent, accurate master data improves reporting and decision-making.
  • Clarify rolesDefine responsibilities for reference and master data, improving coordination.
  • Data consistencyBuild standardized, trusted data across systems and departments.
Course outline
Day 1

Introduction and R&MD pre-assessment. Reference and Master Data (DMBOK Ch. 10): introduction and essential concepts, activities, tools and techniques, implementation guidelines, governance. Review quiz.

Day 2

R&MD key points and characteristics. Architecture, capabilities and data models. Relationships with the other knowledge areas. Implementation framework.

Day 3

Business drivers. Aligning MDM with business initiatives. Exam categories and practice. R&MD post-assessment.

At a glance
Duration
3 consecutive days, plus 5 weeks of access to practice quizzes
Format
Lecture, quizzes, exam technique and practical exercises
Materials
Course notes, practice quizzes, templates
Delivery
CDMP Master Certified Trainer
Class size
8 to 20 participants
Included with the course
  • Practice quizzes with 5 weeks of access after the course
  • CDMP exam technique, categories and sample questions
  • MDM implementation framework templates
  • Course notes covering DMBOK Ch. 10 in full
Who should attend

Data integration, data quality, data warehousing, master data, cybersecurity and metadata specialists, and DBAs.

Anyone preparing to write the CDMP Reference and Master Data Specialist exam.

What you will be able to do
  • Walk into the CDMP Reference and Master Data exam knowing exactly what to expect
  • Explain the drivers, principles and purpose of reference and master data
  • Design MDM architecture, capabilities and supporting data models
  • Align an MDM programme with real business initiatives
  • Apply an implementation framework and governance to R&MD work
  • Connect R&MD to the other data management functions

“Multiple applications and systems will create operational silos. Master and Reference data management is about forging a single, trusted authoritative source that ensures consistency across every business process, analytical report and regulatory requirement.”

Howard Diesel, CDMP Master Certified Trainer
Ask about training for your teamPrivate delivery for your team, virtual or on site.
Close this courseAll 8 CDMP certification courses
Track 1 · CDMP certification · Course 7 of 8
73 days

Data Warehousing & Business Intelligence for Certification

CDMP Data Warehousing & BI Specialist, includes Big Data & Data Science

Warehousing, BI, big data and data science: architectures, metrics, lineage.

CDMP Data Warehousing & BI Specialist, includes Big Data & Data Science

Design warehouses, analytics and data science capability that the business actually trusts.

This course covers every aspect of a data warehousing and business intelligence professional’s responsibilities and prepares you to confidently take the CDMP DW&BI Specialist exam. It explains the Data Warehousing, Business Intelligence, Big Data and Data Science chapters of the DMBOK, with use cases and examples, and connects the concepts to the related aspects of the other data management functions.

Why attend
  • Stay compliantDesign and manage warehouses that support business goals and meet regulatory requirements.
  • Better decisionsUnderstand how BI tools and data models improve reporting and decision-making.
  • Clarify rolesDefine responsibilities for data and analytics, improving business and IT collaboration.
  • Data-driven cultureSupport insight, innovation and continuous improvement.
Course outline
Day 1

Introduction and pre-assessment. Why analyse? Goals and business drivers. DW&BI essential concepts (DMBOK Ch. 11). Big Data and Data Science essential concepts (Ch. 14). Context diagrams.

Day 2

DW&BI and BD&DS architectures and technologies. Activities and implementation for DW&BI. Activities and implementation for BD&DS. Techniques.

Day 3

Implementation guidelines. Metrics and governance. Business measurement and decision-making frameworks. Digital decisioning. Data lineage management and the data-value chain. Semantics, ontologies and infonomics. Exam preparation and post-assessment.

At a glance
Duration
3 consecutive days, plus 5 weeks of access to practice quizzes
Format
Lecture, quizzes, exam technique and practical exercises
Materials
Course notes, practice quizzes, templates
Delivery
CDMP Master Certified Trainer
Class size
8 to 20 participants
Included with the course
  • Practice quizzes with 5 weeks of access after the course
  • CDMP exam technique, categories and sample questions
  • Architecture and measurement framework templates
  • Course notes covering DMBOK Ch. 11 and 14
Who should attend

All data professionals involved in business intelligence, data warehousing, data marts and data lakes, including data engineers, DBAs and data scientists.

Anyone preparing to write the CDMP DW&BI Specialist exam.

What you will be able to do
  • Walk into the CDMP DW&BI Specialist exam knowing exactly what to expect
  • Explain the drivers and purpose of warehousing, BI, big data and data science
  • Choose architectures and technologies deliberately, not by default
  • Set up metrics, governance and a business measurement framework
  • Manage data lineage and articulate the data-value chain
  • Connect DW&BI to the other data management functions

“A warehouse shouldn't just store data; it must deliver a structured data value framework. When designed properly, it empowers the business to shift from simply reporting on the past to strategically driving the future.”

Howard Diesel, CDMP Master Certified Trainer
Ask about training for your teamPrivate delivery for your team, virtual or on site.
Close this courseAll 8 CDMP certification courses
Track 1 · CDMP certification · Course 8 of 8
84.5 days

Data Modelling for Certification

CDMP Data Modelling & Design Specialist, Steve Hoberman’s Masterclass

Steve Hoberman’s masterclass: conceptual, logical and physical models, scored.

CDMP Data Modelling & Design Specialist, Steve Hoberman’s Masterclass

From no experience to modelling competently. For experienced modellers, new insight into producing precise models with confidence.

An interactive and complete data modelling course prepared by modelling guru Steve Hoberman. It covers every aspect of a data modeller’s responsibilities and prepares you to confidently take the CDMP Data Modelling and Design Specialist exam: planning, eliciting requirements to align the model with the business, preparing and refining relational and dimensional models, and the technology-dependent design of physical models.

Why attend
  • Stay compliantBuild data models that meet business and legal requirements.
  • Better decisionsGood models improve data quality and support smarter choices.
  • Clarify rolesKnow who is responsible for data and how teams work better together.
  • Data-driven culturePromote data awareness and improve practice across the organization.
Course outline
Day 1

Introduction and pre-assessment. Overall course view. Data model completeness and correctness.

Day 2

The model scheme. Conceptual, logical and physical models. Relational, dimensional and NoSQL modelling.

Day 3

Data model structure. Abstraction. Standards and best practices. Readability and definitions. Consistency with the enterprise, the Enterprise Data Model and Data Vault.

Day 4

Practical use case: work in groups to develop conceptual and logical relational and dimensional models for specific business requirements.

Day 5

Review of attendees’ models. Exam preparation based on DMBOK v2 Ch. 5 with aspects of Ch. 4 and 11. Post-assessment.

At a glance
Duration
4.5 consecutive days, plus 5 weeks of access to practice quizzes
Format
Lecture, practice quizzes, exercises and case studies
Materials
Data Modelling Masterclass Training Manual, 7th Edition by Steve Hoberman: exercises, case study, practice questions
Delivery
CDMP Master Certified Consultant
Class size
8 to 20 participants
Included with the course
  • Practice quizzes with 5 weeks of access after the course
  • Data Modelling Masterclass Training Manual, 7th Edition
  • Group exercises and a full case study
  • CDMP practice questions and exam technique
Who should attend

Any data modeller at any level of skill. Data architects, data engineers and BI analysts. Master data, DQ, DG, AI and security specialists. Enterprise information managers who need to understand the modelling process.

Anyone preparing to write the CDMP Data Modelling and Design exam.

What you will be able to do
  • Walk into the CDMP Data Modelling and Design exam knowing exactly what to expect
  • Apply the five settings to build the “right” model for a given scenario
  • Create conceptual, logical and physical relational and dimensional models
  • Use entities, attributes, relationships, subtyping, keys and hierarchies correctly
  • Distinguish NoSQL models from traditional models in structure and approach
  • Evaluate model quality against the ten categories of the Data Model Scorecard

“Effective data modelling goes beyond technical diagrams; it captures the very essence of your business rules. When the blueprint is right, the architecture naturally supports your operational goals and data value frameworks.”

Howard Diesel, CDMP Master Certified Trainer
Ask about training for your teamPrivate delivery for your team, virtual or on site.
Close this courseAll 8 CDMP certification courses
Track 2 · Practice

Data & AI how-to

4 courses

Practical programs for the people who own, architect and use data and AI.

Four programs built around what people do with data in an organization: steward it, build the architecture that makes AI possible, grow from data literacy to acumen, and read, work with and argue with data in everyday business decisions.

Track 2 · Data & AI how-to · Course 1 of 4
14 days

Business Data Steward Course

How to steward data

Twelve modules for the people who own the data, ending with a stewardship plan for their own department.

How to steward data

Manage enterprise data as a valuable business asset. A practical, 12-module curriculum for the people who own the data.

A comprehensive curriculum focused on establishing strong data governance practices. You will learn to evaluate the business impact of stewardship, implement critical data management artefacts, build accountability frameworks for data roles, and design effective stewardship plans, ensuring enterprise data is managed as a valuable business asset aligned to organizational goals and regulation.

Why attend
  • Strategic complianceAlign data practice with business objectives and regulation.
  • Decision qualityEvaluate data-quality impacts for better decisions.
  • Clear accountabilityDefine roles that improve business and IT collaboration.
  • Data excellenceGrow data literacy and a governance culture that lasts.
Course outline
Module 1

Introduction to data stewardship: why it matters, business impact analysis, governance vs management, steward roles and responsibilities.

Module 2

Business impact of stewardship: compliance and risk mitigation, financial and operational impact, data literacy and culture, impact playbook, case studies.

Module 3

Managing data artefacts: artefact identification and purpose, data interrogation techniques, metadata mapping, glossary, catalog, conceptual model.

Module 4

RACI matrix development: RACI components, building RACI for artefacts, owner, steward, custodian, scorecard and review, stakeholder engagement.

Module 5

Implementation planning: framework (data, roles, process, communications, metrics, tools), use-case prioritization, root cause and MVP, Gantt planning and feedback loops.

Module 6

Data quality stewardship: DQ dimensions and concepts, business rules and validation, profiling and assessment, the 7 basic quality tools, Power BI monitoring.

Module 7

Reference and master data: characteristics and importance, golden records, values and profiles, survivorship and trust rules, operational vs analytical MDM.

Module 8

Questions and artefact mapping: categories of questions about data, mapping questions to deliverables, metadata, structure, governance, reporting, question bank.

Module 9

Collaboration and operating models: business vs technical stewards, operating model hierarchy, reporting structures and governance councils, collaboration with IT.

Module 10

AI and data stewardship: AI-readiness of data, data cascades and governance, ethics, privacy and compliance, data stewardship in AI projects.

Module 11

Executive engagement: why stewardship programs fail, role of data executives, data issue log and business impact, executive activation playbook, KPI mapping.

Module 12

Review and capstone: recap of key concepts, capstone (departmental data stewardship plan), knowledge assessment, feedback and next steps.

At a glance
Duration
4 days
Format
Lecture, quizzes and practical exercises
Materials
Course notes, practice quizzes, templates
Delivery
CDMP Master Certified Trainer
Class size
8 to 20 participants
Included with the course
  • Capstone: a departmental data stewardship plan for your own area
  • Case studies and group discussion
  • Knowledge assessment
  • Course notes, practice quizzes, templates
Who should attend

Business subject matter experts and executives seeking to enhance data quality, compliance and value, empowering teams to govern and leverage data effectively.

What you will be able to do
  • Show the business impact of stewardship on compliance, risk and cost
  • Build and manage the data artefacts your team relies on
  • Develop a RACI matrix that makes data ownership unambiguous
  • Design and execute a stewardship plan for your own department
  • Monitor data quality and act before issues reach the business
  • Engage executives with a data issue log and KPI mapping

“Stewards are the bridge between policy and practice. They operationalize privacy processes and governance strategies, ensuring that data remains protected, compliant, and accountable at the business level.”

Howard Diesel, CDMP Master Certified Trainer
Ask about training for your teamPrivate delivery for your team, virtual or on site.
Close this courseAll 4 Data & AI how-to courses
Track 2 · Data & AI how-to · Course 2 of 4
24 + 1 days

AI Ready Enterprise Architecture & Governance

Architecture and governance

From business design to AI platform and unified governance, in one blueprint. Leave with your own AI Ready Roadmap.

Architecture and governance

Accelerate your AI transformation. Turn strategy into executable, enterprise-ready architecture in an intensive 4 + 1 day program.

Connect business value, data foundations and modern AI platforms into one blueprint. Move hands-on from business design to semantic clarity, data blueprints, AI platform engineering and unified governance, applying every concept through the industry-aligned InsuranceCo case, and finishing with a personalized AI Ready Roadmap for your own organization. Aligned to BIZBOK, TOGAF, DCAM, DMBOK, ISO 42001 and NIST AI RMF.

Why attend
  • Stay compliantDesign architecture that meets business and regulatory requirements.
  • Better decisionsStructured data systems for accurate, timely insight.
  • Clarify rolesDefine who manages architecture and improve collaboration.
  • Scalable designBuild flexible, future-ready environments that grow with you.
Course outline
Day 1 · Foundations

Business architecture: strategy alignment, value streams, capabilities. Information architecture: semantics, glossary, taxonomy.

Day 2 · Design

Data architecture: subject area models, conceptual ERD, flows. Technical architecture: AI platform, data lake, integration blueprint.

Day 3 · Control

Unified governance: policies, quality, AI ethics, ISO / NIST. Knowledge and AI: corporate memory, RAG, Govern-by-Wire.

Day 4 · Practice

Guided capstone: end-to-end integration using the InsuranceCo case. Review: team presentations and feedback loop.

Day 5 · Application

Industry project: apply the methodology to your own organization. Certification: final presentation and course wrap-up.

At a glance
Duration
4 + 1 consecutive days
Format
Lecture, quizzes, practical exercises, group discussion and use cases
Materials
Notes, quizzes, templates
Delivery
CDMP Master Certified Trainer
Class size
8 to 20 participants
Included with the course
  • The InsuranceCo case, applied through every concept
  • A personalized AI Ready Roadmap for your organization
  • Team presentations with feedback
  • Notes, quizzes, templates
Who should attend

Data architects, data engineers, data modellers and any data professional involved in strategic enterprise data planning.

What you will be able to do
  • Map stakeholders and value propositions so every AI initiative delivers measurable value
  • Design one architecture linking business capabilities to data models and platforms
  • Embed “Govern-by-Wire” guardrails (policy, quality and security) from day one
  • Capture glossaries and designs as corporate memory that AI can reuse
  • Apply BIZBOK, DCAM, DMBOK, ISO 42001 and NIST AI RMF in practice
  • Leave with a personalized AI Ready Roadmap for your organization

“You cannot build next-generation AI capabilities on fractured foundations. An AI-ready architecture ensures your Corporate, Records, Information and Data Architecture provide the infrastructure, pipelines, and data classification rules which allow you to sustain and scale advanced workloads.”

Howard Diesel, CDMP Master Certified Trainer
Ask about training for your teamPrivate delivery for your team, virtual or on site.
Close this courseAll 4 Data & AI how-to courses
Track 2 · Data & AI how-to · Course 3 of 4
3½ to 1 day

Data & AI Acumen Journey

From literacy to acumen

A workshop that maps your organization’s progression from literacy to savviness, fluency and acumen.

From literacy to acumen

Literacy alone won’t innovate. Progress from savviness to fluency to acumen. A strategic transformation, not a training initiative.

Language shapes culture. Keep saying “literacy” and you get passive awareness; shift to savviness, fluency and acumen and you signal application, integration and strategic judgment. This workshop maps a clear, realistic capability progression, each level adding distinct business value, tailored to your organization’s needs and culture.

Why attend
  • Executive alignmentLeadership commitment to the journey, not just a training budget.
  • Capability assessmentUnderstand where you are today across all four levels.
  • High-value use casesWhere savviness and fluency create immediate impact.
  • Phase 1 foundationsBaseline programs and tools enablement, then executive acumen sessions with periodic reviews across the year.
Course outline
Level 1 · Literacy

Basic understanding of data and AI concepts, terminology and outputs.

Level 2 · Savviness

Practical, confident application of data and AI to solve real business problems.

Level 3 · Fluency

Advanced, seamless integration of data and AI in decision-making and innovation. Value: cross-functional innovation and systemic improvement.

Level 4 · Acumen

Executive-level insight to drive strategic business value and transformation. Value: competitive positioning and long-term advantage.

Workshop day

Foundations: the journey mindset, building progressively from understanding to application to integration to leading. Follow-up sessions are scheduled according to the agreed roadmap.

At a glance
Duration
Half to one day, with periodic reviews for up to 1 year
Format
Workshop
Materials
Course notes
Delivery
CDMP Master Certified Trainer
Class size
8 to 20 participants
Included with the course
  • Key focus areas: shifting from passive consumption to active creation, building role-specific capabilities aligned to business needs, creating a culture that values data-informed decisions, aligning data and AI strategies with business objectives
  • Course notes
  • An agreed roadmap with follow-up sessions
Who should attend

Data and analytics leaders and professionals, business unit leaders and executives.

Roadmap times vary by organization, so cost is calculated accordingly.

What you will be able to do
  • Assess where your organization stands across the four levels
  • Secure executive commitment to a capability journey rather than a training budget
  • Identify the use cases where savviness and fluency pay off first
  • Define phase 1 foundations: baseline programs and tools enablement
  • Start executive acumen sessions with periodic reviews across the year
  • Align data and AI strategies with business objectives

“Adopting advanced Generative AI requires more than just premium platforms; it requires a cultural shift. This journey prepares your team to understand, govern, and leverage AI safely and effectively to transform your business.”

Howard Diesel, CDMP Master Certified Trainer
Ask about training for your teamPrivate delivery for your team, virtual or on site.
Close this courseAll 4 Data & AI how-to courses
Track 2 · Data & AI how-to · Course 4 of 4
4Self-paced

Data Literacy for Business Professionals

Read, write and argue with data

Read, work with, analyse and argue with data. Adaptive, AI-supported, on your own data.

Read, write and argue with data

Empower your workforce to confidently interpret, analyse and communicate with data, using your own organizational data.

A practical, adaptive training program that builds foundational and advanced data literacy skills using real organizational data. Designed for modern business professionals, it enables learners to read, work with, analyse and argue with data, and to build a data-informed culture. Adaptive learning powered by AI: a personal AI agent for guidance, real-time feedback and tutoring, adaptive pacing and branching, department-specific datasets, and an analytics dashboard for instructors.

Why attend
  • Faster decisionsStop waiting on the analytics team to interpret every report.
  • Fewer errorsRecognize misleading charts, bad samples and false correlations.
  • Stronger casesBack proposals with evidence that stands up to scrutiny.
  • Shared languageBusiness and technical teams finally discussing the same numbers.
Course outline
Module 1

Introduction to data literacy: what is data literacy, principles (read, work with, analyse, argue), data ethics and quality, pre-course diagnostic.

Module 2

Understanding and reading data: interpreting charts, tables and dashboards, graphical and numerical literacy, hands-on reading of internal dashboards.

Module 3

Working with data: internal and external sources, cleaning, filtering, merging, data quality awareness, hands-on manipulation of datasets.

Module 4

Analysing and visualising data: averages, comparisons, correlations, segmentation and aggregation, visualization techniques, mini project (analyse and present).

Module 5

Arguing with data: building a narrative with data, communicating in meetings and reports, case studies and role-play, drafting a data-driven argument.

Module 6

Capstone project: real-world business scenario, final presentation (insight plus recommendation), peer review, post-course self-assessment.

At a glance
Duration
Self-paced
Format
Micro-lectures with visuals, interactive discussions and polls, case studies and scenarios, gamification, iterative practice with feedback, your own organizational data and dashboards
Materials
Department-specific datasets, analytics dashboard for instructors
Delivery
Adaptive learning and AI
Class size
Business professionals across every department
Included with the course
  • Pre-course diagnostic (quiz and self-assessment)
  • Formative quizzes and polls
  • Practical exercises: chart creation and analysis
  • Mini projects and a capstone project with peer review
  • Self-reflection survey and journal
Who should attend

Business professionals across every department.

What you will be able to do
  • Read and question the charts, tables and dashboards you see every day
  • Clean, filter and merge data from internal and external sources
  • Analyse data with comparisons, segmentation and clear visualization
  • Argue with data: build a narrative that persuades in meetings and reports
  • Communicate findings clearly to technical and non-technical audiences
  • Help build a culture where decisions are data-informed

“Data literacy is about speaking a shared professional language. When your entire team understands the fundamental concepts, data stops being an IT problem and becomes a collaborative business enabler.”

Howard Diesel, CDMP Master Certified Trainer
Ask about training for your teamPrivate delivery for your team, virtual or on site.
Close this courseAll 4 Data & AI how-to courses
How it works

Private delivery, for your team.

Each course is delivered to one organization at a time, virtually or on site, on dates agreed with you. Sessions take 8 to 20 participants. Ask us for a certification pathway or a practice program sized to your team, and we come back with a plan.

Platform, advisory, training. Three ways to the same result: governance that your people can run.

Ask about training for your team

Train the people who will run it.

Tell us about your team and the skills you need. We come back with a pathway: which courses, in which order, on which dates.

Ask about training for your team