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    RDCH services

    Data Analytics

    RDCH helps teams turn health data into clear, defensible insight for research, programme improvement, and better decisions.

    Areas of support

    • Statistical analysis and biostatistics
    • Data management
    • Data-quality assessment
    • Dashboards and visualisation

    What we can support

    Work that is rigorous and useful.

    01

    Statistical analysis and biostatistics

    Analysis plans and methods for health-research questions, from descriptive work to advanced modelling.

    02

    Data management

    Data structures, workflows, and documentation that support reliable analysis and use.

    03

    Data-quality assessment

    Practical checks for completeness, accuracy, consistency, and fitness for purpose.

    04

    Dashboards and visualisation

    Clear visual outputs that help teams monitor indicators and understand programme performance.

    05

    Predictive and exploratory modelling

    Appropriate modelling approaches for surveillance, planning, and resource-allocation questions.

    06

    Monitoring and evaluation reporting

    Analysis and reporting support for monitoring frameworks, assessments, and decision-making.

    Our approach

    Careful work from the start.

    We make analytical choices transparent, attend to data quality and governance, and present results in a way that supports the next decision.

    • Methods are matched to the question and the quality of available data.
    • Data governance and responsible use are considered from the outset.
    • Outputs are designed for people who need to interpret and act on them.

    Work with RDCH

    Bring us the question. We'll help shape what comes next.

    Whether you are planning a study, strengthening a health programme, or making sense of data, tell us what you need to move forward.

    Where we can help

    1. Research design & evaluation
    2. Health programmes & strategy
    3. Data, digital health & capability