Data Science, AI, and Advanced Analytics Congo, The Democratic Republic of the

Data Governance and Master Data Management (MDM) Course

In an era where AI-driven decision-making and automated workflows define competitive advantage, the integrity of foundational data has become the ultimate differentiator. Data governance and MDM are the strategic disciplines of managing the availability, usability, integrity, and security of enterprise data assets. It involves establishing a system of decision rights and accountabilities for information-related processes. Professionals use it to eliminate data silos, ensure regulatory compliance, and provide a single version of the truth across the enterprise.

This course bridges the gap between theoretical data management and high-impact operational execution by grounding every module in the DAMA-DMBOK® functional areas and COBIT® 2019 governance principles. You will move beyond simple data cleaning to architecting robust governance frameworks that survive the pressures of rapid digital transformation and complex regulatory environments like GDPR and BCBS 239. Designed for Data Governance Managers, MDM Architects, and Chief Data Officers, this program delivers the exact tools needed to build a Master Data Registry and a sustainable Data Stewardship model. By the end of this intensive training, you will have the capability to transform fragmented data landscapes into high-quality, governed assets that fuel advanced analytics and enterprise-wide automation initiatives.

Duration
5 Days
Duration
Certificate
Certificate
Included
Delivery
Instructor-Led
Delivery
Level
Intermediate To Advanced
Level
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Training Options

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Live Online Training

Join from anywhere with interactive virtual sessions

Starts
Ends
Weekend (4 Wks)
USD 850
Starts
Ends
Mon - Fri (5 Days)
USD 850
Starts
Ends
Mon - Fri (5 Days)
USD 850
Starts
Ends
Weekend (4 Wks)
USD 850
Starts
Ends
Mon - Fri (5 Days)
USD 850
Starts
Ends
Weekend (4 Wks)
USD 850
Starts
Ends
Weekend (4 Wks)
USD 850

Classroom Training

In-person sessions at premier locations

Nairobi Kenya
Mon - Fri
5 Days
USD 1,600
Kigali Rwanda
Mon - Fri
5 Days
USD 1,900
Dubai United Arab Emirates (UAE)
Mon - Fri
5 Days
USD 4,100
Addis Ababa Ethiopia
Mon - Fri
5 Days
USD 2,400
Customized Content
Team Training
Flexible Dates

In-person training at our premier venues — pick a city and date that works for you.

Location Duration Fee Language
Nairobi, Kenya Mon - Fri (5 Days) USD 1,600 English See dates & reserve →
Kigali, Rwanda Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Dubai, United Arab Emirates (UAE) Mon - Fri (5 Days) USD 4,100 English See dates & reserve →
Addis Ababa, Ethiopia Mon - Fri (5 Days) USD 2,400 English See dates & reserve →
Zanzibar, Tanzania Mon - Fri (5 Days) USD 2,400 English See dates & reserve →
Abuja, Nigeria Mon - Fri (5 Days) USD 2,800 English See dates & reserve →
Mombasa, Kenya Mon - Fri (5 Days) USD 1,700 English See dates & reserve →
Cape Town, South Africa Mon - Fri (5 Days) USD 3,900 English See dates & reserve →
Johannesburg, South Africa Mon - Fri (5 Days) USD 3,500 English See dates & reserve →
Kampala, Uganda Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Pretoria, South Africa Mon - Fri (5 Days) USD 3,300 English See dates & reserve →
Lagos, Nigeria Mon - Fri (5 Days) USD 2,500 English See dates & reserve →
Arusha, Tanzania Mon - Fri (5 Days) USD 2,000 English See dates & reserve →
Dar es Salaam, Tanzania Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Kisumu, Kenya Mon - Fri (5 Days) USD 1,600 English See dates & reserve →
Naivasha, Kenya Mon - Fri (5 Days) USD 1,700 English See dates & reserve →
Accra, Ghana Mon - Fri (5 Days) USD 3,800 English See dates & reserve →
Nakuru, Kenya Mon - Fri (5 Days) USD 1,600 English See dates & reserve →

Live, instructor-led sessions you can join from anywhere — pick the next start date below.

Code Start Date End Date Duration Fee
DGM-01 Weekend (4 Weeks) USD 850 Reserve my seat → Reserve team seats →
DGM-01 Mon - Fri (5 Days) USD 850 Reserve my seat → Reserve team seats →
DGM-01 Mon - Fri (5 Days) USD 850 Reserve my seat → Reserve team seats →
DGM-01 Weekend (4 Weeks) USD 850 Reserve my seat → Reserve team seats →
DGM-01 Mon - Fri (5 Days) USD 850 Reserve my seat → Reserve team seats →
DGM-01 Weekend (4 Weeks) USD 850 Reserve my seat → Reserve team seats →
DGM-01 Weekend (4 Weeks) USD 850 Reserve my seat → Reserve team seats →

Our instructor comes to your office — same curriculum and accredited certificate, with case studies built around the work your team actually does.

Team Training

Train your entire team together in a familiar environment for better collaboration

Fully Customized

Content tailored to your industry, tools, and specific business challenges

Cost Effective

Save on travel & accommodation costs when training multiple employees

Flexible Scheduling

Choose dates that work best for your team's availability and projects

How It Works
1
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2
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3
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About the Course

Organizations today face a critical paradox: they possess more data than ever before, yet they struggle to trust the insights derived from it. This Data Governance and MDM course addresses this challenge by providing a structured methodology to treat data as a strategic corporate asset rather than a technical byproduct. You will explore the critical intersection of policy and technology, learning how to align data management initiatives with overarching business objectives. The curriculum focuses on building five core domain capabilities: establishing a formal Data Governance Charter, designing multi-domain MDM architectures, implementing automated data quality profiling, managing complex metadata lifecycles, and enforcing data privacy by design. We reference the ISO/IEC 38500 standard for corporate governance of IT to ensure your strategy is globally recognized and defensible at the board level.

This course teaches the implementation of Master Data Management through a practitioner-led approach so you can deliver a unified view of customers, products, and suppliers. What you will learn is a comprehensive system for data excellence: you will practice hands-on data profiling using industry-standard metrics, while being introduced to the strategic selection criteria for MDM technology stacks like Informatica or SAP Master Data Governance. We acknowledge the real-world constraints of budget limitations and stakeholder resistance, providing you with the change management frameworks necessary to embed a data-centric culture. This is not a theoretical overview; it is a technical and strategic deep dive into the mechanics of data authority, ensuring that your organization's data is accurate, consistent, and ready for the demands of the modern digital economy.


Target Audience

This program is designed for experienced professionals responsible for the integrity and strategic utility of enterprise information assets.

This course is designed for:

  • Data Governance Managers establishing enterprise-wide data authority frameworks
  • MDM Solution Architects designing multi-domain master data hubs
  • Chief Data Officers (CDOs) aligning data strategy with business value
  • Data Quality Analysts implementing automated profiling and remediation workflows
  • Enterprise Architects integrating MDM layers into complex IT landscapes
  • Data Privacy Officers ensuring compliance with global data protection mandates
  • Lead Data Stewards managing business glossaries and data ownership
  • Business Intelligence Leads requiring trusted data for advanced analytics
  • Master Data Specialists handling customer and product domain synchronization
  • IT Governance Officers mapping data flows to COBIT® 2019 standards

Course Objectives

This course equips you to design, execute, and report on data initiatives that drive operational efficiency and strategic compliance.

By the end of this course, you'll be able to:

  • Assess current data maturity levels using the DAMA-DMBOK® Capability Assessment Model
  • Apply MDM architectural patterns including Registry, Hub, and Coexistence models
  • Construct a formal Data Governance Charter with defined roles and accountabilities
  • Develop a comprehensive Data Quality Scorecard using six standard quality dimensions
  • Evaluate MDM technology vendors against specific enterprise data requirements and constraints
  • Navigate complex data privacy requirements within the Master Data Management lifecycle
  • Implement measurable Data Governance KPIs to demonstrate ROI to executive leadership
  • Synthesize metadata and data lineage into a centralized, searchable Business Glossary

Requirements & Prerequisites

Participants should have at least 3-5 years of experience in data management, IT audit, or business analysis. Familiarity with SQL and basic database concepts is required. Prior exposure to the DAMA-DMBOK® framework or COBIT® principles is beneficial but not mandatory.


Local Application and Business Return

How participants can apply the training in local operating conditions, and the return their organisation can plan for.

How participants apply this

Participants would use data governance and MDM practices to define who owns critical data elements, such as customer, supplier, product, or location records, and to standardize those records across departments. In day-to-day work, they would set up approval workflows, data quality checks, and stewardship responsibilities so that operational teams use the same trusted definitions. They would also support reporting and analytics by reducing duplicate records and inconsistent fields that can distort dashboards and management decisions. In a regulated environment, they would document control processes and retention practices so the organization can respond more consistently to audit or compliance requests.

Expected ROI

Within 6–12 months, the main benefit is usually fewer duplicate records, cleaner reporting, and less time spent reconciling inconsistent data across teams. Organizations also tend to see faster onboarding of new systems because master data definitions and ownership are clearer before integration begins. A further outcome is reduced operational friction in functions such as finance, procurement, sales, and customer service because teams work from a shared version of key data. If the program is adopted well, leaders usually gain more confidence in analytics and in the controls supporting compliance and audit readiness.

Training Methodology

This is a practical, outcome-driven course designed to turn data management theory into measurable enterprise action.

Methodology includes:

  • Hands-on data profiling exercise using a sample enterprise dataset and metrics
  • Scenario simulation requiring the resolution of conflicting master data records
  • Audit of a sample data environment using the ISO/IEC 38500 standard
  • Stakeholder mapping exercise to identify data owners and stewards across functions
  • Case study analysis of MDM implementations in banking, retail, and healthcare
  • Group workshop to draft a high-level Data Governance Charter and roadmap
  • Reflection exercise benchmarking current organizational data maturity against industry standards

Upcoming Sessions

Next available dates worldwide

Virtual

(Zoom) Training
USD 850
27th Jun-19th Jul 2026

Nairobi

Kenya
USD 1,500
27th Jul-31st Jul 2026

Kigali

Rwanda
USD 1,850
27th Jul-31st Jul 2026

Dubai

United Arab Emirates (UAE)
USD 4,100
22nd Jun-26th Jun 2026

Zanzibar

Tanzania
USD 2,100
6th Jul-10th Jul 2026

Addis Ababa

Ethiopia
USD 2,500
13th Jul-17th Jul 2026

Abuja

Nigeria
USD 2,800
27th Jul-31st Jul 2026

Mombasa

Kenya
USD 1,600
22nd Jun-26th Jun 2026

Cape Town

South Africa
USD 3,500
13th Jul-17th Jul 2026

Johannesburg

South Africa
USD 3,100
29th Jun-3rd Jul 2026

Pretoria

South Africa
USD 3,000
22nd Jun-26th Jun 2026

Kampala

Uganda
USD 1,800
27th Jul-31st Jul 2026

Lagos

Nigeria
USD 2,500
27th Jul-31st Jul 2026

Certification

Recognized credentials that advance your career

Participants who complete the Data Governance and Master Data Management (MDM) Program earn a Trainingcred Certificate of Achievement, demonstrating professional competence and alignment with global standards in learning and development.

NITA Accredited

Accredited by the National Industrial Training Authority, ensuring programs meet nationally recognized standards of quality and relevance.

CPD Certified

Recognized by the CPD Certification Service, ensuring every program meets internationally benchmarked standards of professional excellence.

Why this course earns its place on your CV

Accredited training, practitioner trainers, and peers on the same career track — the three things real expertise is built on.

Skills Relevance

  • Master the latest in Data Governance and MDM to future-proof your career.
  • Learn practical skills in managing enterprise data assets effectively.
  • Equip yourself with cutting-edge techniques to enhance data quality and value.

Expert Delivery

  • Taught by industry leaders with decades of experience in data management.
  • Gain insights from real-world case studies led by data governance experts.
  • Exclusive access to guest lectures from top data strategists in the field.

Career Advancement

  • Boost your professional profile with a certification in Data Governance.
  • Open doors to senior data management roles with targeted training.
  • Leverage your new skills to negotiate higher salaries and leadership positions.

Real Results from Real Professionals

Thousands of professionals have transformed their careers through our training programs. Now, it's your turn.

Frequently Asked Questions

Got questions? We've gathered the answers to common queries to help you feel confident and informed.

Who else has attended this training course?

Join global leaders and experts from top-tier organizations who have already benefited from this training. Here are just a few of our past participants:

Designation Organization
Specialist Data Architecture and Design and Modelling CRDB Bank Plc, Tanzania, United Republic of
Officer Care for Life, GAMBIA

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Start with one high-value domain, such as customer or supplier data, and define the authoritative source, ownership, and quality rules. Then create a governance process for approving changes so the master record stays consistent as systems are connected.

Business ownership should sit with the function that uses the data, while IT typically supports the platform and integration layer. A governance council or stewardship model is useful when multiple departments share the same master data.

No. Compliance is one driver, but the bigger value is better decision-making, fewer operational errors, and more reliable analytics. Strong governance also makes automation and AI initiatives more trustworthy because the underlying data is consistent.

Data governance defines the decision rights, policies, and accountability model for data. MDM is the operational discipline and supporting processes used to create and maintain trusted master records for core business entities.

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Ministry of Education Saudi Arabia
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