Organisations now depend on a chain of data systems: source applications, integration layers, pipelines, warehouses, lakes and reporting tools, all built around an ERP that holds financial and operational truth. Each link can fail through human error, design weakness, malicious activity or vendor and infrastructure problems. When it does, the consequences range from wrong management numbers to regulatory breaches and lost revenue. Risk management in this area is therefore a core engineering responsibility rather than a task left to a distant compliance team.

This course takes a lifecycle view. The first block introduces risk concepts, frameworks and techniques, and shows how to inventory data assets, map data flows and build a risk register that engineers and auditors can both use. The second block looks at the technical control families: data quality and reconciliation, security and privacy, availability and recoverability, and change management. The third block turns to ERP data and system landscapes, covering master data, access conflicts, integrations, migrations and upgrades. The final block addresses testing and assurance, including failure simulations, incident response, key risk indicators and executive reporting.

Teaching centres on hands-on scenarios. Participants analyse architectures, write control tests in SQL, review backup and recovery designs, assess a migration plan and defend their risk ratings in peer sessions. By the end they have assembled a full risk assessment and treatment plan for a data platform.

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

• Apply ISO 31000 and related frameworks to identify and rate data and ERP risks.
• Map data flows and dependencies to reveal single points of failure.
• Design data quality, reconciliation and lineage controls for pipelines.
• Implement access control, encryption, masking and audit logging in databases.
• Plan backup, recovery and high availability against defined recovery objectives.
• Assess ERP master data, segregation of duties and integration risks.
• Control data migrations, schema changes and releases with testing and rollback plans.
• Test resilience, respond to data incidents and report risk status to management.

The course is designed for professionals who build, run, secure or assure data systems, including:

• Data engineers and analytics engineers
• Database administrators and platform engineers
• ERP functional leads and technical consultants
• Enterprise and data architects
• IT risk, security and compliance managers
• Internal and external IT auditors
• Data governance and data quality managers
• Heads of IT and project managers delivering data programmes

Participants leave with:

• A risk register template for pipelines, databases and ERP data.
• A data quality and reconciliation control library with sample SQL tests.
• A backup, recovery and resilience test plan.
• A segregation of duties and master data control checklist for ERP.
• A migration and change risk plan with go and no-go criteria.
• A set of key risk indicators and a reporting format for management.

The programme is technical, scenario-led and designed for practitioners. It combines:

• Architecture clinics where participants dissect realistic data platform designs
• SQL and scripting labs that turn control ideas into running tests
• Tabletop exercises for outages, breaches and failed migrations
• Risk workshops that use participants' own systems as source material
• A capstone assessment reviewed by peers and facilitators

A CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy recognises participants who attend the ten days and complete the labs and capstone risk assessment.