Data and Analytics for Business Continuity & Operational Resilience Training Course in Uganda
Classroom cohorts in Kampala · live online · in-house anywhere in Uganda
Continuity plans often rest on recovery times that nobody has measured and supplier dependencies that live in one manager's memory. When a system outage, power failure or vendor collapse strikes, organisations that can read their own resilience data recover faster and explain their choices to regulators and boards. Over five days you learn to collect and clean business impact analysis data, calculate recovery time and recovery point objectives, and map the people, technology, sites and third parties behind each important business service. Sessions cover key risk indicators, early warning thresholds, incident and near-miss logs, MTTR and availability metrics, and the evidence expected under ISO 22301 and the Basel Committee principles for operational resilience.
Hands-on work in Excel and Power BI builds a resilience dashboard, while scenario analysis and Monte Carlo simulation test whether impact tolerances would hold during severe but plausible disruptions. It suits business continuity managers, operational risk analysts, IT service continuity leads, internal auditors, crisis management coordinators and data analysts supporting resilience teams in banking, telecoms, utilities, health and government. You leave able to turn scattered records into trustworthy measures and reports. Classroom, online and in-house delivery are available, with a CPD-accredited certificate.
About this course
Regulators, insurers and boards no longer accept a continuity plan on trust. They want evidence that critical services can stay within defined limits of disruption, and that evidence is built from data: recovery tests, incident records, supplier performance, system availability and the results of business impact analysis. Many organisations hold this information in separate spreadsheets, service desk tools and audit files, so resilience reporting becomes slow, inconsistent and hard to defend.
The Data and Analytics for Business Continuity & Operational Resilience Training Course shows participants how to bring those sources together and use them for decisions. Day one sets out the measures that matter and the data model behind them. Participants then structure BIA results and dependency maps, design key risk indicators with thresholds and escalation rules, and build a dashboard that links each critical service to its people, technology, facilities and suppliers. Day four applies scenario analysis, stress testing and basic simulation to impact tolerances, and the final day turns incident and exercise results into lessons, trend analysis and board-level reporting aligned with ISO 22301 and ISO 22316.
Teaching is workshop-based. Participants work on a sample organisation's continuity data in Excel and Power BI, clean and reconcile it, and present findings to peers acting as a risk committee. Each person leaves with a draft indicator set and a reporting template they can adapt for their own organisation.
Training Objectives
On completing the programme, participants will be able to:
- Define the data, metrics and sources needed to evidence continuity and resilience performance.
- Structure business impact analysis results to set and test RTO, RPO and maximum tolerable period of disruption.
- Map dependencies between important business services, systems, sites, staff and suppliers.
- Design key risk indicators with thresholds, owners and escalation triggers.
- Build an interactive resilience dashboard in Power BI or Excel.
- Apply scenario analysis and simulation to test whether impact tolerances would be breached.
- Analyse incident, near-miss and exercise data to identify recurring weaknesses.
- Prepare concise resilience reports for executive committees, boards and regulators.
What you'll learn
Key Takeaways
By the final session, each participant will have:
- A resilience data dictionary listing measures, definitions, sources and owners.
- A cleaned BIA dataset with recovery objectives for a set of business services.
- A dependency map showing single points of failure across people, technology and suppliers.
- A draft key risk indicator set with amber and red thresholds.
- A working resilience dashboard template built in Power BI or Excel.
- Scenario test results for at least two severe but plausible disruptions.
- A one-page board resilience report format ready for adaptation.
Training Methodology
Learning is applied to data from the first morning. The programme uses:
- Short briefings on resilience standards and the measures they require
- A sample organisation's BIA, incident and supplier datasets for hands-on cleaning and analysis
- Guided Excel and Power BI labs, with templates participants keep
- Scenario workshops where teams stress-test services against impact tolerances
- Peer review of dashboards and indicator sets
- A final presentation to a mock risk committee
Day 1: Resilience Measures and the Data Behind Them
- What operational resilience data must prove to boards, regulators and customers
- Important business services and impact tolerances as measurable concepts
- Evidence expectations in ISO 22301, ISO 22316 and the Basel Committee principles
- Inventorying data sources: BIA records, CMDB, service desk, supplier and HR data
- Common data quality problems in continuity records and how to fix them
- Building a resilience data dictionary
- Exercise: auditing a sample organisation's continuity data
Day 2: Business Impact Analysis Data and Dependency Mapping
- Structuring BIA questionnaires for consistent, analysable results
- Calculating RTO, RPO and maximum tolerable period of disruption
- Time-based impact scoring: financial, customer, regulatory and reputational
- Mapping services to people, processes, technology, facilities and third parties
- Identifying single points of failure and concentration risk
- Dependency matrices and network diagrams in Excel
- Exercise: building a dependency map for three critical services
Day 3: Key Risk Indicators and Resilience Dashboards
- Leading and lagging indicators of resilience
- Selecting KRIs: availability, MTTR, backup success, supplier SLA breaches and staff cover
- Setting thresholds, tolerances and escalation rules
- Data modelling for resilience reporting in Power BI
- Visual design for risk dashboards that executives actually read
- Automating refresh from service desk and monitoring tools
- Lab: building an interactive resilience dashboard
Day 4: Scenario Analysis, Stress Testing and Simulation
- Designing severe but plausible disruption scenarios
- Cyber attack, data centre loss, pandemic absence and key supplier failure cases
- Testing scenarios against impact tolerances
- Introduction to Monte Carlo simulation for recovery times
- Sensitivity analysis and what-if modelling in Excel
- Quantifying downtime cost and customer impact
- Exercise: stress-testing a payments or utilities service
Day 5: Incident Analytics, Exercise Evidence and Reporting
- Recording incidents and near misses in a form that supports analysis
- Root cause, trend and Pareto analysis of disruption data
- Measuring the results of continuity exercises and recovery tests
- Tracking remediation actions and closure rates
- Writing resilience reports for boards and regulators
- Presenting findings to a simulated risk committee
- Personal action plan for improving resilience data
Participants typically work where continuity planning meets risk and data, for example:
- Business continuity and resilience managers
- Operational risk managers and analysts
- IT service continuity and disaster recovery leads
- Crisis and incident management coordinators
- Internal auditors reviewing continuity arrangements
- Data analysts and BI developers supporting risk teams
- Third-party and vendor risk officers
- Compliance officers in banks, insurers and payment providers
- Resilience leads in utilities, telecoms, health and public agencies
A CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy is awarded to participants who attend the full five days and complete the data labs and scenario exercises.
The dashboard, indicator set and board report produced during the course provide practical evidence of the skills gained.
Upcoming cohorts
CPD-Accredited
Official invoice & confirmation letter provided
Team discount for 3+ seats
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Frequently Asked Questions About Data and Analytics for Business Continuity & Operational Resilience Training Course in Uganda
Everything you need to know about this course before you register.
Data and Analytics for Business Continuity & Operational Resilience Training Course runs as classroom training in Kampala, Uganda, in Monday-to-Friday cohorts that start every four weeks. You can also join a live online cohort from anywhere in Uganda, or book it in-house at your organisation's own premises.
The next classroom cohort in Uganda starts on November 2, 2026 in Kampala, and a new intake follows every four weeks in each city. Pick a city and date in the schedule panel above, then click "Register for the Course" — your seat is confirmed once payment or a signed purchase order is received.
The classroom fee for Data and Analytics for Business Continuity & Operational Resilience Training Course in Uganda is USD 1,900 per delegate. The fee covers tuition and course materials. Register 3 or more delegates together and a 5% team discount is applied automatically.
Yes — Data and Analytics for Business Continuity & Operational Resilience Training Course can be delivered at your offices anywhere in Uganda, or at a venue you choose, on dates that suit your team, with case studies tailored to your sector. Switch to the "In-House" tab in the schedule panel above to request a proposal.
Yes. Data and Analytics for Business Continuity & Operational Resilience Training Course also runs as live online training: the same curriculum as the classroom programme, taught by a trainer in real time, so you can join from anywhere in Uganda without travelling. Choose "Virtual Live" in the schedule panel above to see the online dates and fee.
By the end of the Data and Analytics for Business Continuity & Operational Resilience programme, you'll be able to define the data, metrics and sources needed to evidence continuity and resilience performance, structure business impact analysis results to set and test rto, rpo and maximum tolerable period of disruption, map dependencies between important business services, systems, sites, staff and suppliers, and design key risk indicators with thresholds, owners and escalation triggers. The full breakdown of topics is covered session by session in the Course Outline tab above.
Participants typically work where continuity planning meets risk and data, for example: Business continuity and resilience managers, Operational risk managers and analysts, IT service continuity and disaster recovery leads, Crisis and incident management coordinators, Internal auditors reviewing continuity arrangements, Data analysts and BI developers supporting risk teams, Third-party and vendor risk officers, Compliance officers in banks, insurers and payment providers, and Resilience leads in utilities, telecoms, health and public agencies.
Data and Analytics for Business Continuity & Operational Resilience Training Course typically runs as 5 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.
Yes — delegates who meet the attendance requirement receive a Certificate of Completion for Data and Analytics for Business Continuity & Operational Resilience Training Course from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Data and Analytics for Business Continuity & Operational Resilience Training Course is pitched at intermediate 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.
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