Handle the trade-offs in data retention policy between speed, cost and assurance explicitly rather than implicitly.
Data Retention Policies and Regulatory Compliance
Develop the judgement and the documentation needed to run data retention policy properly.
📍 Tunis🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points
Course Overview
The constraint on data retention policy is rarely the model or the platform — it is the data and the operating discipline behind it. Boards are asking for measurable returns from this part of digital and data-driven work, not demonstrations. Comparative studies of this aspect of digital and data-driven work across sectors find the same handful of failure points recurring. It establishes a shared vocabulary for data retention policy so that teams can disagree productively about it. The result is the confidence to make and defend decisions about this area of digital and data-driven work under scrutiny. Every module pairs a short input on the digital and data-driven work capability with structured practice on the participant's own material. The programme suits teams tackling data retention policy together as readily as individuals attending alone. The version of this aspect of digital and data-driven work described in the manual and the version practised on the floor tend to diverge over time. Participants finish with a short, specific brief on this area of digital and data-driven work ready to put in front of a decision maker.
Expected Learning Outcomes
Map the regulatory obligations that apply to data retention policy in each market of operation.
Test the organisation's response to data retention policy under conditions that are less than ideal.
Define escalation and fallback for data retention policy when the automated path fails.
Design the pilot for data retention policy so its result is decisive rather than merely encouraging.
Set the minimum documentation for data retention policy that is genuinely necessary, and stop there.
Document the decision record for data retention policy so successors understand why it is built this way.
Who Should Attend
Solution architects designing how data retention policy fits the existing estate.
Business partners who must understand data retention policy well enough to challenge it.
Public sector digital leads applying data retention policy under procurement and privacy rules.
Technology and digital transformation managers leading data retention policy.
Information security officers reviewing the exposure created by data retention policy.
Planning staff whose forecasts and budgets are affected by data retention policy.
Course Modules
Data retention policy: vendor selection and avoiding lock-in
2 sessions · 8 pointsSession 1What to measure in data retention policy and what to ignore
- Plan how data retention policy is versioned and how a bad release is rolled back.
- Assess the regulatory obligations data retention policy triggers in each jurisdiction.
- Estimate compute and licensing cost for data retention policy at expected and at peak load.
- Identify single points of dependency in data retention policy and reduce them.
Session 2Sizing data retention policy honestly before committing budget
- Classify the data in data retention policy and apply access controls that match the classification.
- Define the exit route from the supplier supporting data retention policy.
- Identify every system data retention policy must read from or write to.
- Set out how exceptions to data retention policy are requested and approved.
Data retention policy: people, skills and the change that follows
2 sessions · 8 pointsSession 1The governance data retention policy needs and the governance it does not
- Build the user briefing that explains what data retention policy does and does not decide.
- Review whether data retention policy is aligned with the objectives of the transformation programme.
- Remove steps in data retention policy that add effort without adding assurance.
- Write down the assumptions underpinning the approach to data retention policy.
Session 2Proving data retention policy paid for itself
- Decide which legacy process data retention policy retires, and set the date.
- Arrange the handover of data retention policy so capability survives staff changes.
- Verify that data retention policy still performs when input volume doubles unexpectedly.
- Build the competence framework that supports data retention policy.
Data retention policy: cost, licensing and total running expense
2 sessions · 8 pointsSession 1Building the method for data retention policy step by step
- Measure the current quality of the data feeding data retention policy before assuming it is usable.
- Confirm that contractual obligations around data retention policy are understood.
- Name a single owner for each element of data retention policy.
- Draft the minimum viable delivery roadmap for data retention policy.
Session 2What breaks first when data retention policy meets real volume
- Agree what will be standardised in data retention policy and what will not.
- Set the review interval for data retention policy and who attends.
- Record what was learned when data retention policy did not go as planned.
- Record the reasoning behind each architectural choice in data retention policy.
Data retention policy: architecture, integration and the existing estate
2 sessions · 8 pointsSession 1Building lasting competence in data retention policy
- Define the service level data retention policy must meet and what happens when it is missed.
- Agree who is on call for data retention policy outside working hours.
- Set the metrics that will show whether data retention policy is drifting from its intended behaviour.
- Specify the fallback path when data retention policy is unavailable.
Session 2Reading the true cost of running data retention policy
- Confirm that reporting on data retention policy reaches the people who can act.
- Test the procedure for data retention policy against a realistic scenario.
- Test data retention policy against edge cases drawn from real historical records.
- Verify six months later that changes to data retention policy have held.
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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