Organisations rely on data pipelines, relational databases and enterprise resource planning systems to run finance, supply chain, human resources and customer operations. When these systems degrade, the consequences appear as late reports, wrong stock figures, audit queries and decisions made on unreliable numbers. Monitoring tells a team that something is wrong today; evaluation tells leadership whether the platform is delivering value over time. Most organisations do the first poorly and the second rarely.

The Monitoring and Evaluation of Data Engineering, Databases & ERP Data Training Course applies the logic of monitoring and evaluation to the data estate. The first five days cover what to measure and how: indicators for pipelines, databases and ERP data, automated checks, dashboards and incident handling. The second five days move into evaluation: data quality assessments, reconciliation and audit, user and process review, maturity assessment, cost and benefit analysis, and the design of improvement programmes with governance and accountability.

The course is highly practical. Participants configure checks and dashboards in lab environments, analyse sample ERP extracts for integrity problems and conduct a structured evaluation of a case platform, reporting findings and recommendations as they would to a steering committee.

By the end of the ten days, participants will be able to:

• Define indicators, service levels and targets for data pipelines, databases and ERP data.
• Implement automated data quality and freshness tests in pipeline workflows.
• Build monitoring and alerting dashboards for platform health.
• Assess database performance, capacity, backup and recovery readiness.
• Evaluate ERP master data quality and reconcile subledger data to the general ledger.
• Review user access, interfaces and change control for data integrity risk.
• Design and conduct a data quality audit with sampling and evidence.
• Apply maturity models and benefit analysis, then report recommendations to governance forums.

The programme suits people who build, run, assure or fund data platforms:

• Data engineers and analytics engineers
• Database administrators and platform engineers
• ERP functional and technical analysts
• Internal auditors and IT auditors
• Monitoring and evaluation specialists moving into data systems
• Data governance and data quality managers
• IT managers and heads of data and digital
• Finance systems and business intelligence managers
• Donor and programme staff overseeing management information systems

Participants leave the programme with:

• A monitoring framework with indicators, thresholds and owners for a data platform.
• Working data quality tests and an alert dashboard built during the labs.
• An ERP master data and reconciliation review checklist.
• A database health check template covering performance, backup and access.
• A data quality audit programme with sampling method and report format.
• An evaluation report and improvement roadmap on a case platform.

The course combines technical labs with evaluation practice:

• Laptop labs adding data quality tests, monitoring dashboards and health checks to sample systems
• ERP extract analysis using SQL and spreadsheets to find integrity problems
• Audit-style fieldwork exercises with evidence logs and findings sheets
• A running case platform evaluated across the second week
• Steering committee style presentations with questions from facilitators

Participants who attend all ten days and complete the labs and evaluation project are awarded a CPD-accredited Certificate of Completion by Vision Reach Global Consultancy.