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Vision Reach Global
Research, Data Management and Business Intelligence

Live Online Data and Analytics for Data Governance, Quality & Stewardship Training Course

Live online, instructor-led · next cohort Nov 2, 2026 · from USD 800

Reports disagree, customer records duplicate and nobody can say who owns a field or who approved a change. Weak governance turns analytics into guesswork, and regulators and auditors notice. Five days teach teams to make governance measurable instead of relying on policy documents alone.

Upcoming live online sessions

Live Online

Nov 2 – 6, 2026

$800

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Live Online

Nov 30 – Dec 4, 2026

$800

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Live Online

Dec 28, 2026 – Jan 1, 2027

$800

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Live Online

Jan 25 – 29, 2027

$800

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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
Nov 2, 2026, Nov 30, 2026, Dec 28, 2026
Certificate
Certificate of Completion
What you need
A computer with a reliable internet connection, a webcam and a headset

About this course

Organisations collect more data every year, but trust in it does not rise at the same pace. Duplicate customers, missing fields, inconsistent codes and untraced spreadsheets cause wrong decisions, failed audits and expensive manual rework. Privacy and data protection duties add pressure to know exactly what data is held, where it sits and who is accountable for it.

This course approaches governance, quality and stewardship through analytics. Participants start by agreeing what good data means for their business and by building a governance model with clear roles, decision rights and policies. They then learn to profile data, define measurable quality dimensions, set rules and tolerances, and monitor results over time. Further sessions cover metadata, business glossaries, catalogues, lineage and master and reference data, followed by issue management, root cause analysis and remediation workflows. The closing sessions deal with measuring programme maturity, reporting value and building a stewardship community that lasts.

The approach is hands-on. Delegates use SQL queries, spreadsheet functions and dashboard software on sample datasets, and finish with a data quality baseline, a stewardship charter and a roadmap suited to their organisation.

Training Objectives

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

  • Establish a data governance operating model with defined owners, stewards and decision rights.
  • Profile datasets to detect gaps, duplicates, invalid values and inconsistencies.
  • Define quality dimensions, rules, thresholds and scorecards aligned to business needs.
  • Build dashboards that monitor quality trends and stewardship performance.
  • Document metadata, glossaries, lineage and critical data elements.
  • Run issue management and root cause analysis to fix problems at their source.
  • Assess governance maturity and present the business case for improvement.

What you'll learn

Establish a data governance operating model with defined owners, stewards and decision rights.
Profile datasets to detect gaps, duplicates, invalid values and inconsistencies.
Define quality dimensions, rules, thresholds and scorecards aligned to business needs.
Build dashboards that monitor quality trends and stewardship performance.
Document metadata, glossaries, lineage and critical data elements.
Run issue management and root cause analysis to fix problems at their source.
Assess governance maturity and present the business case for improvement.

Key Takeaways

Participants leave with:

  • A data quality baseline built from profiling a real-style dataset.
  • A rule library covering completeness, validity, uniqueness and consistency.
  • A working dashboard design for quality and issue tracking.
  • A stewardship charter with roles, responsibilities and escalation paths.
  • A starter business glossary and critical data element register.
  • A phased roadmap and maturity assessment for their organisation.

Training Methodology

The course is lab based and tied to the daily work of data teams. Methods include:

  • Short framework briefings followed by immediate application
  • SQL and spreadsheet profiling on sample datasets with deliberate defects
  • Dashboard building sessions that track quality over simulated months
  • Role-play of governance council meetings and steward escalations
  • Peer review of each delegate's roadmap and charter
FAQ

Frequently Asked Questions About Live Online Data and Analytics for Data Governance, Quality & Stewardship Training Course

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

By the end of the Data and Analytics for Data Governance, Quality & Stewardship programme, you'll be able to establish a data governance operating model with defined owners, stewards and decision rights, profile datasets to detect gaps, duplicates, invalid values and inconsistencies, define quality dimensions, rules, thresholds and scorecards aligned to business needs, and build dashboards that monitor quality trends and stewardship performance. The full breakdown of topics is covered session by session in the Course Outline tab above.

Still have questions about Live Online Data and Analytics for 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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