Live Online Monitoring and Evaluation of Data Engineering, Databases & ERP Data Training Course
Live online, instructor-led · next cohort Nov 2, 2026 · from USD 1,700
Data platforms are expensive to build and easy to neglect. Pipelines fail silently, databases slow down, duplicate customer and supplier records pile up in the ERP, and reports drift away from the ledger without anyone noticing. Without measurement and evaluation, leaders cannot say whether their data investment is working. Ten days teach you to build that discipline into the data function.
You design monitoring frameworks with service level indicators and objectives, pipeline observability, lineage, freshness and volume checks, and alerting in tools such as Airflow, dbt tests, Great Expectations and Grafana. Database modules cover query performance, indexing, capacity, backup and recovery testing, replication and access reviews across PostgreSQL, SQL Server and Oracle. ERP sessions address master data quality, reconciliation between SAP, Dynamics or Oracle modules and the general ledger, interface monitoring, user access and segregation of duties, and post-implementation review. The second week applies evaluation methods, data quality audits, maturity models such as DAMA-DMBOK, benefit realisation and cost analysis. Data engineers, database administrators, ERP analysts, internal auditors, M&E specialists and IT managers are the intended audience. Classroom, online and in-house delivery lead to a CPD-accredited certificate, and you complete an evaluation of a live or sample platform.
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 (10 Days)
- Fee
- USD 1,700 (KES 160,000)
- 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 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.
Training Objectives
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.
What you'll learn
Key Takeaways
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.
Training Methodology
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
Day 1: M&E Logic for Data Platforms
- Applying results chains and theory of change to data investments
- Components of the data estate: sources, pipelines, stores, ERP and reporting
- Monitoring versus evaluation versus audit
- Choosing indicators: input, process, output and outcome
- Stakeholders, owners and decision uses
- Exercise: drawing a results chain for a data platform
Day 2: Monitoring Data Pipelines
- Service level indicators and objectives for pipelines
- Freshness, volume, schema and distribution checks
- Orchestration monitoring in Airflow and similar schedulers
- Data lineage and impact analysis
- Alert design and incident response
- Lab: adding checks to a sample pipeline
Day 3: Data Quality Measurement
- Quality dimensions: accuracy, completeness, consistency, timeliness and uniqueness
- Profiling data with SQL and Python
- dbt tests and Great Expectations rules
- Scoring and trending quality over time
- Root cause analysis for recurring defects
- Lab: building a data quality scorecard
Day 4: Database Performance and Reliability
- Key metrics: query latency, locks, connections, storage and growth
- Slow query analysis and indexing review
- Backup, restore and disaster recovery testing
- Replication, availability and capacity planning
- Security and access reviews for databases
- Lab: health check on a PostgreSQL instance
Day 5: Dashboards and Operational Reporting
- Designing monitoring dashboards with Grafana or Power BI
- Setting thresholds, escalation and on-call arrangements
- Incident logs and problem management
- Reporting platform performance to management
- Cost monitoring for cloud data services
- Workshop: dashboard design review
Day 6: ERP Data Integrity Evaluation
- ERP data model and master data domains
- Duplicate and incomplete vendor, customer and item records
- Reconciling subledgers, inventory and payroll to the general ledger
- Interface and integration failure monitoring
- Period-end close data checks
- Exercise: reviewing a sample ERP extract for integrity defects
Day 7: Access, Controls and Change in Data Systems
- User access reviews and segregation of duties
- Privileged access and audit trails
- Change management and release control
- Data protection and retention obligations
- Control testing approaches
- Workshop: designing a control test programme
Day 8: Data Quality Audit Methods
- Planning scope and criteria for a data audit
- Sampling, tracing and re-performance
- Evidence collection and documentation
- Writing findings, risk ratings and recommendations
- Working with data owners to agree actions
- Field exercise: a mini audit of a master data domain
Day 9: Evaluating Value and Maturity
- Data management maturity models including DAMA-DMBOK
- User satisfaction and adoption measures
- Cost, benefit and return on data and ERP investments
- Post-implementation review of an ERP or data project
- Lessons learned and learning loops
- Workshop: scoring maturity of a case organisation
Day 10: Integrated Evaluation and Improvement Plan
- Consolidating monitoring, audit and maturity findings
- Prioritising improvements by risk and value
- Governance forums, accountability and follow-up tracking
- Presenting an evaluation report to a steering committee
- Sustaining a monitoring and evaluation cycle
- Personal action plan and course review
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 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.
Choose Where You Want to Learn
Monitoring and Evaluation of Data Engineering, Databases & ERP Data Training Course Venues
KenyaNairobiNext Nov 9· 13 dates$3,000- KenyaMombasaNext Oct 26· 13 dates$3,200
- KenyaNaivashaNext Nov 2· 13 dates$3,000
- KenyaKisumuNext Oct 26· 13 dates$3,000
- KenyaMachakosNext Nov 2· 13 dates$3,200
UgandaKampalaNext Nov 2· 13 dates$3,800
RwandaKigaliNext Oct 26· 13 dates$3,800
TanzaniaArushaNext Nov 9· 13 dates$3,800- TanzaniaDodomaNext Oct 26· 13 dates$3,600
- TanzaniaDar es SalaamNext Oct 26· 13 dates$4,000
- TanzaniaZanzibarNext Nov 16· 13 dates$5,200
NigeriaLagosNext Nov 16· 13 dates$5,600- NigeriaAbujaNext Nov 9· 13 dates$5,600
South AfricaPretoriaNext Nov 2· 13 dates$6,400- South AfricaJohannesburgNext Nov 2· 13 dates$6,800
- South AfricaCape TownNext Oct 26· 13 dates$7,600
UAEDubaiNext Oct 26· 13 dates$7,600
GhanaAccraNext Nov 16· 13 dates$9,000
Scroll sideways to see all 18 cities →
Frequently Asked Questions About Live Online Monitoring and Evaluation of Data Engineering, Databases & ERP Data Training Course
Everything you need to know about this course before you register.
By the end of the Monitoring and Evaluation of Data Engineering, Databases & ERP Data programme, you'll 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, and assess database performance, capacity, backup and recovery readiness. The full breakdown of topics is covered session by session in the Course Outline tab above.
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, and Donor and programme staff overseeing management information systems.
Monitoring and Evaluation of Data Engineering, Databases & ERP Data Training Course typically runs as 10 Days. It's available as in-person classroom, live virtual, and in-house corporate training — every course can also be delivered on-site for your team on dates that suit you.
Monitoring and Evaluation of Data Engineering, Databases & ERP Data Training Course is scheduled in-classroom in Nairobi, Kenya, Mombasa, Kenya, Naivasha, Kenya, and Kisumu, Kenya, and 14 other locations, plus a live interactive virtual classroom you can join from anywhere. Check the schedule panel above for exact upcoming dates and fees in each location.
The next live virtual cohort of Monitoring and Evaluation of Data Engineering, Databases & ERP Data starts November 2, 2026, with new classroom cohorts also running on a rolling basis. Pick a date and location in the schedule panel above, then click "Register for the Course" — it takes a few minutes and your seat is confirmed once payment or a signed purchase order is received.
Yes — delegates who meet the attendance requirement receive a Certificate of Completion for Monitoring and Evaluation of Data Engineering, Databases & ERP Data Training Course from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Monitoring and Evaluation of Data Engineering, Databases & ERP Data Training Course is pitched at advanced professionals. If you're unsure whether it's the right fit for your current role or background, message our training advisors before you register and they'll help you confirm.
Fees for Monitoring and Evaluation of Data Engineering, Databases & ERP Data Training Course vary by delivery location and format and are shown in real time in the schedule panel above once you pick a date. Register 3 or more delegates on the same course together and a 5% team discount is applied automatically — larger cohorts can request a custom corporate quote.
Yes — Monitoring and Evaluation of Data Engineering, Databases & ERP Data Training Course can be delivered on-site at your offices (or virtually for distributed teams), with case studies and examples tailored to your industry and the specific challenges your team is working through. Switch to the "In-House" tab in the schedule panel above to request a proposal.
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