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Data & AI Training

Data Quality Monitoring & Reporting

Keeping critical data within agreed quality thresholds through continuous monitoring and clear reporting.

Code: DQ5 Track: Data Quality Length: 1 hour (other formats available) Level: Intermediate
Delivered with

Overview

Without monitoring, data quality degrades silently over time. This session focuses on how to design effective data quality monitoring and reporting aligned to Gate 3: Assessment and Gate 8: Communication.

Participants learn how to select the right metrics, design dashboards and alerts, and communicate quality status in a way that supports decision-making and accountability.

Who it is for

  • Executives and leaders needing visibility of data health.
  • Data Owners and Stewards responsible for ongoing quality.
  • Analysts and engineers building monitoring solutions.
  • Governance and quality leads defining reporting standards.

What you will learn

  • What to monitor and what not to monitor.
  • How to design meaningful quality KPIs.
  • How to set thresholds and alerts.
  • How to tailor reporting for different audiences.
  • How monitoring supports accountability and improvement.
  • Common pitfalls in quality reporting.

Agenda

  • Why monitoring is essential for sustained quality.
  • Designing quality KPIs and indicators.
  • Thresholds, alerts and escalation.
  • Reporting for executives vs practitioners.
  • Using dashboards to drive action.
  • Examples and discussion.

Delivery and format

Delivered as a 1 hour interactive virtual session. Can be extended into a design workshop to define issue categories, workflows and ownership.

  • Format: Live virtual or on site.
  • Group size: Up to 25 participants recommended.
  • Optional: Follow-up hands-on dashboard and reporting design workshop.

Next steps

This course is commonly paired with: DS4 · Connecting Strategy to Operations, DG6 · Issues Management and HBG4 · Measuring Success & Maturity