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  • 9 free books for learning data mining & data analysis

    This list compiled by Alex Ivanovs brings together a range of books aimed at both beginners and those who are looking to fill in gaps in their knowledge.
    Resource

  • Fishbone diagram (cause and effect diagram)

    This short guide describes the process of using a fishbone diagram to help uncover and visualise stakeholder perceptions of the root causes of a problem. It is often used in conjunction with the 'Five Whys' technique.
    Resource

  • Scaling impact: Innovation for the public good

    This book, written by Robert McLean (IDRC) and John Gargani (Gargani + Company), presents actionable principles that can help organizations and innovators design, manage, and evaluate scaling strat­egies.
    Resource

  • The Five Whys Technique

    This paper from the Asian Development Bank (ADB) outlines the process of using the Five Whys technique as an effective approach to problem solving.
    Resource

  • Announcing the IDRC program managers' guide to evaluation and the GeneraTOR

    We’re excited to announce the launch of the BetterEvaluation and IDRC (International Development Research Centre) Program Managers’ Guide to Evaluation and GeneraTOR.
    Blog

  • IDRC strategic evaluation of capacity development: Doing things better?

    The paper from the International Development Research Centre (IDRC) analyses whether the results from capacity building projects have supported the organisation to achieve its mission.
    Resource

  • Five Whys

    The Five Whys is an easy question asking option that examines the cause-and-effect relationships that underly problems.
    Method

  • Data mining

    Data mining is the systematic process of discovering patterns in data sets through the use of computer algorithms.
    Method

  • An introduction to data mining

    This webpage, produced by Kurt Thearling, provides an extensive overview of data mining and its applications. The page includes specific examples and links to a tutorial and research papers on data mining.
    Resource

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