Data Quality Assessments

Technical services

Data Quality Assessments

High-quality data is the foundation of credible reporting, sound decision-making, and impactful programming. At Bodmando Consulting Group, we provide comprehensive Data Quality Assessment (DQA) services designed to ensure that organizations generate data that is accurate, reliable, consistent, and fit for purpose. Through rigorous verification processes and tailored methodologies, we strengthen the integrity of data systems and help organizations build confidence in the information they use to guide strategy and accountability.

In today’s data-driven environment, development and humanitarian actors rely on evidence to demonstrate results, allocate resources, and adjust interventions. However, weak data systems or inconsistencies in data management can undermine program effectiveness. Our DQA services address these challenges by offering a thorough examination of the entire data lifecycle from collection tools and processes to storage, analysis, and reporting. We work closely with clients to identify gaps, verify reported achievements, and build sustainable systems that maintain data quality over time.

Technical services

Our Expertise in Data Quality Assessments

Bodmando brings together expertise in Monitoring, Evaluation, Accountability, and Learning (MEAL), data management, and applied research. We conduct Data Quality Assessments that go beyond compliance checks to provide meaningful insights into how data systems function in practice.

Our team has extensive experience working across sectors and contexts, enabling us to tailor DQA processes to organizational needs, donor requirements, and local realities. We assess data at multiple levels: tools, methods, people, and systems to identify both immediate data quality issues and underlying structural challenges.

Technical services

Scope of Our Data Quality Assessments

Our DQA services cover the entire data lifecycle, including:

Data Collection System – We review data collection tools, indicators, definitions, and methodologies to ensure clarity, relevance, and alignment with program objectives. This includes assessing questionnaires, digital data collection forms, registers, and reporting templates.
Data Management and Storage – We assess how data is stored, cleaned, secured, and backed up, including the use of digital platforms and databases. Attention is given to data integrity, version control, and access rights.
Data Analysis and Reporting – We examine how data is processed, analyzed, and presented to ensure accuracy and consistency between raw data, analyzed outputs, and reports shared with stakeholders.
Data Use for Decision-Making – We assess whether data is being effectively used for learning, adaptive management, and strategic decisions, and identify barriers to data use within organizations.

Technical services

Data Quality Dimensions We Assess

Our assessments are guided by internationally recognized data quality dimensions, including:

Accuracy: The degree to which data correctly reflects the real situation it is intended to measure.
Completeness: The extent to which all required data fields and records are captured.
Timeliness: Whether data is available when needed for planning, reporting, and decision-making.
Consistency: Alignment of data across sources, tools, reporting periods, and levels.
Validity: Compliance with defined indicators, standards, and data collection protocols.
Integrity: Protection of data from manipulation, loss, or unauthorized access.

Technical services

Our Approach

Comprehensive Data Quality Audits

We conduct structured data quality audits using standardized frameworks adapted to the client context. These audits combine document reviews, system assessments, and field-based verification to provide a holistic view of data quality.

Verification Techniques

Our team applies a range of verification methods, including:
Spot Checks: Field visits to verify reported data against source documents and observed realities.
Back Checks: Cross-checking data entries with original records such as registers, forms, and databases.
High-Frequency Checks: Regular and rapid data reviews to detect errors, outliers, and inconsistencies early.
Triangulation: Comparing data across multiple sources to confirm reliability and credibility.

Technology-Enabled Approaches

Where applicable, we integrate technology to enhance efficiency and accuracy, including automated validation rules, dashboards, and real-time monitoring tools.

Technical services

Tools and Methodologies

We employ a mix of traditional and technological approaches to conduct thorough assessments, such as:

DQA Tools for systematic evaluation.
Software such as Excel, SPSS, and STATA for quantitative data checks.
NVivo and Atlas.ti for validating qualitative data.

Technical services

Why Choose Bodmando Consulting Group

Strong MEAL and technical expertise
Context-responsive and participatory approaches
Integration of technology and traditional methods
Focus on sustainability, learning, and continuous improvement
Commitment to evidence-based decision-making

Technical services

Strengthening Trust in Your Data

Reliable data builds trust with communities, donors, partners, and decision-makers. Through our Data Quality Assessment services, Bodmando Consulting Group helps organizations strengthen confidence in their data and unlock its full value for impact, accountability, and learning.

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