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Data management and analytics

Clean data, transparent analysis and decision-ready evidence products.

GRC supports clients to collect, manage, clean, analyse and present data in ways that are secure, transparent and useful. We work with quantitative, qualitative and mixed-methods datasets from surveys, assessments, evaluations, administrative systems and field monitoring processes.

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Data Management and Analytics service by GRC
Service overview

From raw records to auditable, decision-ready evidence.

Data quality is not created at the analysis stage. It begins with the design of indicators, questionnaires, coding systems, digital forms, field protocols and validation rules. GRC helps clients build these elements early so that datasets are easier to interpret and defend.

Our analytics work can include descriptive statistics, indicator reconstruction, disaggregated analysis, comparative analysis, data visualisation, qualitative coding, thematic synthesis and dashboard development. We communicate results in plain language so that technical findings can be used by managers, programme teams and stakeholders.

We also document analytical decisions through codebooks, syntax, notes and quality logs where appropriate, making the process more transparent and easier to review.

What this helps clients do

  • Detect and document data-quality problems before they distort indicators, comparisons or conclusions.
  • Reproduce cleaning, recoding and indicator calculations through documented syntax, codebooks and decision logs.
  • Turn quantitative and qualitative datasets into clear tables, visuals and explanations that non-technical decision-makers can use.
Our approach

An auditable path from data receipt to final analytical outputs.

We separate data audit, cleaning, analysis, interpretation and handover so each transformation can be checked, reproduced and explained.

01

Data audit and planning

We review the data source, structure, indicator definitions, missing values, coding practices and expected outputs.

02

Cleaning and validation

We check completeness, skip patterns, duplicates, outliers, inconsistent values, variable labels and documentation.

03

Analysis aligned with questions

We analyse the dataset according to evaluation questions, indicators, disaggregation needs and comparison requirements.

04

Visualisation and interpretation

We prepare clear tables, charts and narrative interpretation so that findings are understandable to non-technical users.

05

Documentation and handover

We provide clean files, codebooks, analysis outputs and explanatory notes that support transparency and future use.

Methods and tools

Methods may include

Data audit Data cleaning Codebook development Descriptive statistics Indicator computation Cross-tabulation Disaggregated analysis Qualitative coding Thematic analysis Dashboard and visualisation
Typical deliverables

Outputs clients can use

Cleaned dataset Data cleaning log Codebook Indicator tables Charts and dashboard outputs Qualitative code matrix Analytical memo Report-ready findings Presentation graphics
Applied analytics

From raw data to evidence that can be reviewed, explained and used.

GRC treats data management as part of the evidence chain rather than a back-office task. The work connects indicator definitions, data cleaning, analysis choices, qualitative interpretation and reporting so that clients can trace how findings were produced.

Questions we help clients answer

Focus the assignment on decisions that matter

  • Are the variables, labels, skip patterns and indicator definitions internally consistent?
  • Which disaggregations and comparisons are needed to answer the assignment questions?
  • How should quantitative and qualitative evidence be integrated without overstating either source?
  • What documentation is needed so the cleaned data and analysis remain usable after handover?
Related insights: How to Maintain Data Quality in Large-Scale Surveys in Ethiopia Combining Quantitative and Qualitative Data in Evaluation Reports Using KoboToolbox for High-Quality Field Data Collection
Questions clients ask

Frequently asked questions.

Can GRC clean and analyse existing datasets?

Yes. We can work with existing survey or monitoring datasets, assess their quality and prepare analysis aligned with the client’s questions.

Can GRC support qualitative data analysis?

Yes. We can code transcripts, develop themes, extract evidence and integrate qualitative interpretation with quantitative findings.

Can GRC prepare charts and dashboards?

Yes. We can produce practical visualisations and dashboards for reports, presentations and management use.

Request support

Need data management and analytics support?

Share your terms of reference, concept note or a short description of the assignment. GRC will help you clarify the scope, methodology, work plan and deliverables.

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