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Vision Reach Global
Research, Data Management and Business Intelligence

Live Online Digital Transformation in Data Governance, Quality & Stewardship Training Course

Live online, instructor-led · next cohort Oct 26, 2026 · from USD 800

Digital programmes stall when nobody trusts the numbers. Duplicate customer records, unclear ownership, undocumented pipelines and privacy gaps undermine analytics, automation and regulatory reporting alike. Across five days, data and business teams learn how to modernise governance so it supports change instead of slowing it. You define data domains, owners and stewards, build a business glossary and a data catalogue, and trace lineage across source systems, warehouses and dashboards.

Upcoming live online sessions

Live Online

Oct 26 – 30, 2026

$800

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Nov 23 – 27, 2026

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Dec 21 – 25, 2026

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Live Online

Jan 18 – 22, 2027

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At a Glance

How Live Online Training Works

Live online training, led by a trainer in real time, for participants anywhere.

More about live online training →
Format
Live online, instructor-led
Duration
Mon - Fri (5 Days)
Fee
USD 800 (KES 80,000)
Next start dates
Oct 26, 2026, Nov 23, 2026, Dec 21, 2026
Certificate
Certificate of Completion
What you need
A computer with a reliable internet connection, a webcam and a headset

About this course

Organisations are investing heavily in cloud platforms, dashboards, automation and artificial intelligence, but those investments depend on data that is accurate, well described and used lawfully. Where governance is a paper policy owned by nobody, projects spend most of their time reconciling figures, and regulators and auditors find inconsistencies that damage confidence in management information.

Digital Transformation in Data Governance, Quality & Stewardship treats governance as an operating capability rather than a committee. Participants learn how to establish ownership by data domain, assign stewardship duties that are realistic alongside normal jobs, and implement the tools that make governance visible, including glossaries, catalogues, lineage maps and quality dashboards. They build quality rules for completeness, validity, uniqueness and timeliness, automate checks in the data pipeline and design workflows for fixing issues at their source.

The course also examines privacy, security classification, master and reference data, and the new questions raised by self-service analytics and machine learning. Teaching is laboratory based: delegates profile a messy dataset, draft policies, configure a catalogue and present a governance roadmap with measurable outcomes suited to their own organisation.

Training Objectives

By the end of the course, participants will be able to:

  • Establish a data governance operating model with domains, owners, stewards and councils.
  • Build a business glossary and populate a data catalogue with meaningful metadata.
  • Trace data lineage from source systems through pipelines to reports.
  • Define, measure and automate data quality rules and scorecards.
  • Manage master and reference data to create a single trusted view of key entities.
  • Apply classification, access control and retention rules aligned with data protection requirements.
  • Create stewardship workflows for logging and resolving data issues.
  • Prepare a phased governance roadmap with measurable targets.

What you'll learn

Establish a data governance operating model with domains, owners, stewards and councils.
Build a business glossary and populate a data catalogue with meaningful metadata.
Trace data lineage from source systems through pipelines to reports.
Define, measure and automate data quality rules and scorecards.
Manage master and reference data to create a single trusted view of key entities.
Apply classification, access control and retention rules aligned with data protection requirements.
Create stewardship workflows for logging and resolving data issues.
Prepare a phased governance roadmap with measurable targets.

Key Takeaways

Participants leave the course with:

  • A governance operating model diagram with named roles and decision rights.
  • A starter business glossary and catalogue entries for priority data sets.
  • A set of tested data quality rules and a scorecard layout.
  • A data issue log and stewardship workflow ready for adoption.
  • A twelve-month governance roadmap with milestones and measures.

Training Methodology

The course favours doing over listening and uses realistic data estates. Participants experience:

  • Tool demonstrations of catalogues, lineage and quality monitoring
  • Hands-on SQL and spreadsheet profiling of untidy datasets
  • Role-play of data council and steward meetings
  • Templates for policies, glossaries and issue logs
  • Roadmap clinics with facilitator coaching
FAQ

Frequently Asked Questions About Live Online Digital Transformation in Data Governance, Quality & Stewardship Training Course

Everything you need to know about this course before you register.

By the end of the Digital Transformation in Data Governance, Quality & Stewardship programme, you'll be able to establish a data governance operating model with domains, owners, stewards and councils, build a business glossary and populate a data catalogue with meaningful metadata, trace data lineage from source systems through pipelines to reports, and define, measure and automate data quality rules and scorecards. The full breakdown of topics is covered session by session in the Course Outline tab above.

Still have questions about Live Online Digital Transformation in Data Governance, Quality & Stewardship Training Course? Chat with an advisor·Visit the full FAQ

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What Our Clients Say

VRG brings strategic discipline to complex organizational challenges. Their approach is structured, data-driven, and outcome-focused.

Levis Wabwire

Levis Wabwire

Managing Director

They facilitated our strategy review, we improved departmental KPI alignment by 35% and reduced operational bottlenecks significantly.

David Oketch

David Oketch

Strategy Lead

Employee engagement scores increased following the leadership training program. The difference in accountability culture is evident.

Wendy Albright

Wendy Albright

Program Manager

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