Build a security and access model for master data management appropriate to the sensitivity of the data involved.
Master Data Management for Large Organisations
A working programme in master data management for managers who have to deliver with existing resources.
📍 Tripoli🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points
Course Overview
Technology choices around master data management are easy to reverse on paper and expensive to reverse in practice. The constraint on this strand of digital and data-driven work is rarely the model or the platform — it is the data and the operating discipline behind it. Participants take away a working set of documents supporting the digital and data-driven work discipline, ready to be adapted internally. Post-incident reviews keep identifying weaknesses in master data management that were visible long before the incident. Work is grounded in real cases drawn from the digital and data-driven work capability, which each participant adapts to conditions in their own organisation. Buying a tool rarely fixes this strand of digital and data-driven work; the underlying capability has to be built internally first. The course sets out a working method for master data management that participants can apply the week they return. The programme suits teams tackling the digital and data-driven work capability together as readily as individuals attending alone. The closing exercise tests whether the participant's plan for this aspect of digital and data-driven work survives a hostile question.
Expected Learning Outcomes
Build the internal capability for master data management rather than depending on external support indefinitely.
Establish version control and rollback for every component of master data management that reaches production.
Design a practical operating method for master data management that fits the organisation's size and maturity.
Prepare the human side of master data management: who is retrained, who is redeployed, and when they are told.
Build the internal skills to operate master data management without permanent vendor dependency.
Select indicators that show whether master data management is improving, and reject those that only look useful.
Who Should Attend
Chief information officers accountable for the investment in master data management.
Operations managers whose processes are changed by master data management.
Vendor and contract managers overseeing suppliers involved in master data management.
Experienced practitioners formalising an approach to master data management that has grown up informally.
Business analysts translating requirements for master data management.
Officers preparing reports on master data management for boards or oversight committees.
Course Modules
Master data management: business case, scope and the data it depends on
2 sessions · 8 pointsSession 1Making master data management secure without making it unusable
- Build the user briefing that explains what master data management does and does not decide.
- Verify that master data management still performs when input volume doubles unexpectedly.
- Identify every system master data management must read from or write to.
- Agree the indicators that will show whether master data management is improving.
Session 2Keeping master data management alive after the initial push
- Test the procedure for master data management against a realistic scenario.
- Plan how master data management is versioned and how a bad release is rolled back.
- Rehearse the briefing on master data management that would follow an incident.
- Identify the skills the team lacks to operate master data management independently.
Master data management: monitoring, drift and operational ownership
2 sessions · 8 pointsSession 1The governance master data management needs and the governance it does not
- Define the exit route from the supplier supporting master data management.
- Decide which legacy process master data management retires, and set the date.
- Confirm the retention and deletion rules applied to data inside master data management.
- Agree what will be standardised in master data management and what will not.
Session 2The data question everyone skips at the start of master data management
- Build the internal briefing that explains master data management to those affected.
- Record the reasoning behind each architectural choice in master data management.
- Decide what will be stopped to create capacity for master data management.
- Set out the decisions in master data management that require sign-off and by whom.
Master data management: cost, licensing and total running expense
2 sessions · 8 pointsSession 1Explaining master data management to people whose jobs it changes
- Verify six months later that changes to master data management have held.
- Test master data management against edge cases drawn from real historical records.
- Remove steps in master data management that add effort without adding assurance.
- Review whether master data management is aligned with the objectives of the transformation programme.
Session 2Reading the current state of master data management honestly
- Write down the assumptions underpinning the approach to master data management.
- Estimate compute and licensing cost for master data management at expected and at peak load.
- Set the metrics that will show whether master data management is drifting from its intended behaviour.
- Agree the smallest change to master data management that would be visibly useful.
Master data management: governance, ethics and explainability
2 sessions · 8 pointsSession 1Getting other functions to support master data management
- Define the service level master data management must meet and what happens when it is missed.
- Classify the data in master data management and apply access controls that match the classification.
- Confirm that contractual obligations around master data management are understood.
- Measure the current quality of the data feeding master data management before assuming it is usable.
Session 2Sizing master data management honestly before committing budget
- Prepare the summary of master data management that senior management will read.
- Collect evidence on the present handling of master data management before proposing changes.
- Specify the fallback path when master data management is unavailable.
- Identify single points of dependency in master data management and reduce them.
Choose the package that suits you
Silver Package
At least 3 people
USD1,250
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
Gold Package
At least 3 people
USD1,850
- 5-night stay in a 5-star hotel
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
Complete your registration
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