Talent for Data Quality and Integrity Checks in MEAL Course

Talent for Data Quality and Integrity Checks in MEAL Course

Advanced | 5 days | Face to Face / Online / Elearning | Certificate
01

Course Overview

Course Summary
Course Title Talent for Data Quality and Integrity Checks in MEAL Course
Organization Tech For Development (T4D)
Venue Tech For Development (T4D) Training Centre
Duration 5 days
Target Industries
Target Job Roles
Course Fees (Face-to-Face) USD 1,500/KES 99,000 (Exclusive of VAT)
Course Fees (Virtual) USD 1,000/KES 70,000 (Exclusive of VAT)
Training Modes Virtual and face-to-face training
Payment Payment should be made to the Tech For Development (T4D) bank account on or before the start of the course
Accreditation Tech For Development Certificate of Course Completion

Introduction

This course is designed to enhance participants' skills in ensuring data quality and integrity within Monitoring, Evaluation, Accountability, and Learning (MEAL) frameworks. The focus will be on developing the talent required to perform rigorous data quality assessments, implement integrity checks, and maintain high standards of data accuracy throughout the MEAL process.

Duration

5 Days

Target Audience

  • Monitoring and Evaluation (M&E) officers
  • Data analysts and data quality specialists
  • Program managers and coordinators
  • MEAL practitioners
  • Project managers
  • Quality assurance professionals

Personal Impact

  • Gain specialized knowledge in data quality management within MEAL frameworks.
  • Improve your ability to ensure the accuracy and reliability of data in projects.
  • Enhance your skills in identifying and resolving data quality issues.
  • Increase your capacity to contribute to high-standard MEAL processes.
  • Strengthen your role as a key player in maintaining data integrity in your organization.

Organizational Impact

  • Improved reliability and accuracy of data used in decision-making.
  • Enhanced credibility and accountability in MEAL reporting and evaluation.
  • Strengthened capacity for effective project monitoring and assessment.
  • Increased ability to meet donor and stakeholder expectations regarding data quality.
  • Fostered a culture of excellence in data management across the organization.

Course Objectives

  • Understand the importance of data quality and integrity in MEAL processes.
  • Develop and apply data quality assurance mechanisms within MEAL systems.
  • Conduct effective data integrity checks to ensure accuracy and reliability.
  • Identify and mitigate common data quality challenges in MEAL.
  • Strengthen organizational practices to uphold data standards across projects.
02

Course Modules

Modules

Module 1: Understanding Data Quality and Integrity in MEAL

  • Defining Data Quality and Integrity in the Context of MEAL
  • The Impact of Data Quality on MEAL Outcomes
  • Principles and Standards for Data Quality Assurance
  • Case Studies: Data Quality Successes and Failures in MEAL

Module 2: Developing Data Quality Assurance Mechanisms

  • Designing Data Collection Tools for Accuracy and Reliability
  • Implementing Data Quality Assurance Protocols
  • Ensuring Consistency and Completeness in Data Collection
  • Tools and Techniques for Data Quality Assessment

Module 3: Conducting Data Integrity Checks

  • Key Concepts and Techniques for Data Integrity
  • Performing Cross-Verification and Validation Checks
  • Identifying and Correcting Data Anomalies
  • Best Practices for Maintaining Data Integrity over Time

Module 4: Addressing Data Quality Challenges

  • Common Data Quality Issues in MEAL and How to Overcome Them
  • Strategies for Managing Data Quality in Complex Environments
  • Engaging Teams in Data Quality Improvement Efforts
  • Leveraging Technology for Data Quality Management

Module 5: Sustaining High Data Quality Standards

  • Institutionalizing Data Quality Assurance in MEAL Processes
  • Training and Developing Teams for Data Quality Management
  • Monitoring and Reporting on Data Quality Indicators
  • Ensuring Ongoing Compliance with Data Quality Standards
03

Course Administration

Methodology

Instructor-led sessions use a blended learning approach combining presentations, guided practical exercises, web-based tutorials, and group work, delivered by seasoned industry experts. All facilitation and course materials are in English, so participants should be reasonably proficient in the language.

Accreditation

Upon successful completion of this training, participants will be issued a Tech For Development Certificate of Course Completion

Training Venue

The training will be held at the Tech For Development Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.

Accommodation & Airport Transfer

Arranged upon request.For reservations contact the Training Officer:
Email: [email protected]
Phone: (+254) 790 824 179

Tailor-Made

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our T4D Training Centre or at a convenient location.

Payment

Payment should be transferred to the T4D account through a bank on or before the start of the course. Send proof of payment to [email protected].

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2026 Schedules
Nairobi
14 Dec - 18 Dec
KES 99,000 |
$1,500
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Kigali
Addis Ababa
Kuala Lumpur
Accra
Pretoria
Cape Town
Johannesberg
Cairo
Arusha
Machakos
Zanzibar
Kisumu
Nakuru
Mombasa
Nairobi
Naivasha
Kampala
Dubai