Assess the current state of enterprise data strategy against a structured set of criteria rather than impressions.
Building an Integrated Enterprise Data Strategy That Supports Decision-Making
A structured, applied course in enterprise data strategy — designed to be used the week you return.
📍 Abu Dhabi🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points
Course Overview
The constraint on enterprise data strategy is rarely the model or the platform — it is the data and the operating discipline behind it. Technology choices around this area of digital and data-driven work are easy to reverse on paper and expensive to reverse in practice. Buying a tool rarely fixes the digital and data-driven work capability; the underlying capability has to be built internally first. The programme uses small-group work so that each participant's treatment of enterprise data strategy is examined, not just described. The result is the confidence to make and defend decisions about this area of digital and data-driven work under scrutiny. It establishes a shared vocabulary for the digital and data-driven work discipline so that teams can disagree productively about it. It suits anyone whose decisions touch enterprise data strategy, in large organisations and small ones alike. The professional literature on this part of digital and data-driven work converges on a small set of controls that reliably work. Participants finish with a short, specific brief on the practice within digital and data-driven work ready to put in front of a decision maker.
Expected Learning Outcomes
Draw practical lessons from failures in enterprise data strategy without assigning blame that suppresses reporting.
Compare the organisation's handling of enterprise data strategy with recognised practice, and close the material gaps.
Agree the retirement plan for the legacy process enterprise data strategy replaces.
Design the integration points between enterprise data strategy and the systems already in production.
Map the regulatory obligations that apply to enterprise data strategy in each market of operation.
Prepare the human side of enterprise data strategy: who is retrained, who is redeployed, and when they are told.
Who Should Attend
Solution architects designing how enterprise data strategy fits the existing estate.
Those responsible for briefing external stakeholders on enterprise data strategy.
Data and analytics leads responsible for the pipelines behind enterprise data strategy.
Programme managers coordinating delivery of enterprise data strategy across teams.
Training and development staff building internal capability in enterprise data strategy.
Public sector digital leads applying enterprise data strategy under procurement and privacy rules.
Course Modules
Enterprise data strategy: from pilot to production
2 sessions · 8 pointsSession 1Getting other functions to support enterprise data strategy
- Assess the regulatory obligations enterprise data strategy triggers in each jurisdiction.
- Estimate compute and licensing cost for enterprise data strategy at expected and at peak load.
- Design the pilot for enterprise data strategy so that a negative result is still useful.
- Classify the data in enterprise data strategy and apply access controls that match the classification.
Session 2Keeping enterprise data strategy alive after the initial push
- Define the exit route from the supplier supporting enterprise data strategy.
- Build the internal briefing that explains enterprise data strategy to those affected.
- List the data sources enterprise data strategy consumes and confirm each has a named owner.
- Identify every system enterprise data strategy must read from or write to.
Enterprise data strategy: monitoring, drift and operational ownership
2 sessions · 8 pointsSession 1Making enterprise data strategy secure without making it unusable
- Measure the current quality of the data feeding enterprise data strategy before assuming it is usable.
- Write down the assumptions underpinning the approach to enterprise data strategy.
- Check that records of enterprise data strategy answer the questions likely to be asked.
- Build the user briefing that explains what enterprise data strategy does and does not decide.
Session 2Who owns enterprise data strategy once the project team disbands
- Identify the skills the team lacks to operate enterprise data strategy independently.
- Review whether enterprise data strategy is aligned with the objectives of the transformation programme.
- Define the service level enterprise data strategy must meet and what happens when it is missed.
- Establish what evidence demonstrates enterprise data strategy is under control.
Enterprise data strategy: business case, scope and the data it depends on
2 sessions · 8 pointsSession 1What breaks first when enterprise data strategy meets real volume
- Set out the decisions in enterprise data strategy that require sign-off and by whom.
- Decide which legacy process enterprise data strategy retires, and set the date.
- Plan how enterprise data strategy is versioned and how a bad release is rolled back.
- Confirm the retention and deletion rules applied to data inside enterprise data strategy.
Session 2The pilot that actually settles the argument about enterprise data strategy
- Establish the boundary of enterprise data strategy and record what sits outside it.
- Define the trigger that would require enterprise data strategy to be redesigned.
- Establish who is informed, consulted and accountable in enterprise data strategy.
- Rank the weaknesses in enterprise data strategy by consequence rather than by ease of fixing.
Enterprise data strategy: governance, ethics and explainability
2 sessions · 8 pointsSession 1Building the method for enterprise data strategy step by step
- Prepare the response for the most likely failure in enterprise data strategy.
- Draft the minimum viable delivery roadmap for enterprise data strategy.
- Agree the smallest change to enterprise data strategy that would be visibly useful.
- Identify single points of dependency in enterprise data strategy and reduce them.
Session 2Choosing a supplier for enterprise data strategy without being captured
- Record what was learned when enterprise data strategy did not go as planned.
- Set the metrics that will show whether enterprise data strategy is drifting from its intended behaviour.
- Remove steps in enterprise data strategy that add effort without adding assurance.
- Test enterprise data strategy against edge cases drawn from real historical records.
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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