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Vision Reach Global
Monitoring, Evaluation, Accountability and Learning

Live Online Risk Management for Digital MEAL, Dashboards & Data Quality Training Course

Live online, instructor-led · next cohort Oct 26, 2026 · from USD 800

Digital tools have made programme data faster to collect and easier to show, but they have also created new ways to go wrong: lost devices, biased samples, broken formulas, exposed beneficiary records and dashboards that look precise while resting on weak numbers. Five days help MEAL teams anticipate these failures and manage them before donors or communities are affected.

Upcoming live online sessions

Live Online

Oct 26 – 30, 2026

$800

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Live Online

Nov 23 – 27, 2026

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Live Online

Dec 21 – 25, 2026

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Live Online

Jan 18 – 22, 2027

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At a Glance

How Live Online Training Works

Live online training, led by a trainer in real time, for participants anywhere.

More about live online training →
Format
Live online, instructor-led
Duration
Mon - Fri (5 Days)
Fee
USD 800 (KES 80,000)
Next start dates
Oct 26, 2026, Nov 23, 2026, Dec 21, 2026
Certificate
Certificate of Completion
What you need
A computer with a reliable internet connection, a webcam and a headset

About this course

Monitoring, evaluation, accountability and learning has moved quickly onto phones, cloud platforms and live dashboards. Decisions about funding, targeting and course correction now rest on data that passes through many hands and tools, and a weakness at any point can mislead managers or harm the people the data describes. Donors increasingly ask for evidence of data governance and quality control alongside the results themselves.

The Risk Management for Digital MEAL, Dashboards & Data Quality Training Course applies risk thinking to that whole chain. Participants first set out the data lifecycle for a programme and identify what could fail at each stage, from poorly designed forms and enumerator error to insecure storage and misleading visuals. They then choose proportionate controls: validation rules, spot checks, back-checks, role-based access, encryption practices, version control and dashboard testing, and decide who owns each one.

Learning is through realistic scenarios and hands-on exercises with sample datasets and dashboards. Participants finish with a data risk register, a quality assurance plan and a responsible data checklist suited to their own programmes, together with a clear way of reporting limitations honestly to stakeholders.

Training Objectives

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

  • Map the digital MEAL data lifecycle and identify risks at each stage.
  • Compile and prioritise a data risk register with owners and controls.
  • Apply data protection, consent and responsible data principles to beneficiary information.
  • Secure mobile data collection, devices, storage and sharing arrangements.
  • Define data quality dimensions and design validation, verification and back-check routines.
  • Test dashboards for accuracy, bias and misleading presentation.
  • Establish feedback and complaints channels that are safe and well managed.
  • Report data limitations transparently to donors, partners and communities.

What you'll learn

Map the digital MEAL data lifecycle and identify risks at each stage.
Compile and prioritise a data risk register with owners and controls.
Apply data protection, consent and responsible data principles to beneficiary information.
Secure mobile data collection, devices, storage and sharing arrangements.
Define data quality dimensions and design validation, verification and back-check routines.
Test dashboards for accuracy, bias and misleading presentation.
Establish feedback and complaints channels that are safe and well managed.
Report data limitations transparently to donors, partners and communities.

Key Takeaways

Participants will leave with:

  • A completed data lifecycle map and risk register for a chosen programme.
  • A data quality assurance plan with sample validation and back-check rules.
  • A responsible data and consent checklist for field teams.
  • A dashboard testing protocol and review template.
  • Guidance for setting up a safe feedback and complaints mechanism.
  • A model statement of data limitations for donor reports.

Training Methodology

The course is applied and scenario-driven. Participants take part in:

  • Risk workshops using real programme examples supplied by participants
  • Hands-on labs with sample survey data and dashboard files
  • Simulated data incidents that test response procedures
  • Peer review of registers and quality plans
  • Short demonstrations of free and open-source tools
FAQ

Frequently Asked Questions About Live Online Risk Management for Digital MEAL, Dashboards & Data Quality Training Course

Everything you need to know about this course before you register.

By the end of the Risk Management for Digital MEAL, Dashboards & Data Quality programme, you'll be able to map the digital meal data lifecycle and identify risks at each stage, compile and prioritise a data risk register with owners and controls, apply data protection, consent and responsible data principles to beneficiary information, and secure mobile data collection, devices, storage and sharing arrangements. The full breakdown of topics is covered session by session in the Course Outline tab above.

Still have questions about Live Online Risk Management for Digital MEAL, Dashboards & Data Quality Training Course? Chat with an advisor·Visit the full FAQ

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Employee engagement scores increased following the leadership training program. The difference in accountability culture is evident.

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