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Quick Guides

Table of Contents

  • Analytics Capabilities and Readiness Quick Guide
    Organizations Analytics Capabilities and Readiness Quick Guide

    This guide provides an overview of three primary analytics organizational structures: centralized, balanced (or hybrid), and decentralized. Each structure is dissected to present its characteristics, benefits, and potential drawbacks. The guide also introduces assessment indicators which provide organizations with a clearer picture of their readiness to adopt or transition between the structures. The guide lays out a structured approach to aid organizations in migrating from a centralized to a decentralized or balanced model, ensuring that the transformation is smooth, strategic, and aligned with business objectives.

    • Data Analytics
  • Future of Work Quick Guide
    The Future of Work Quick Guide

    The Future of Work Quick Guide provides a high-level summary of key insights and recommendations exploring the impacts of data, analytics, and AI on transforming work and skills. It highlights major statistics, trends, and implications regarding the future of work driven by technological advances. It also outlines actionable recommendations for various stakeholders including workers, organizations, educators, and policymakers on skill-building, adaptation strategies, and responsible governance.

    • Future of Work
    • Data Literacy
  • PROMPT Framework
    The PROMPT Framework for Informed AI Use Quick Guide

    The PROMPT Framework Quick Guide is a handy two-page reference highlighting the key steps and strategies for effective prompt engineering with AI systems. It provides a condensed overview of techniques like asking explainable questions, having logical multi-step conversations, troubleshooting insufficient responses, being precise with terminology, framing prompts ethically, personalizing prompts based on user needs, and ensuring cultural sensitivity.

    • Artificial Intelligence
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    Harnessing the Power of Generative AI for Critical Thinking Quick Guide

    This quick guide provides best practices for responsibly leveraging generative AI to augment human analysis and critical thinking. It outlines techniques such as prompting the model to uncover assumptions, biases, and knowledge gaps; exploring uncertainties through speculative scenarios; enriching contextual understanding; and adapting communication for different audiences. The guide emphasizes maintaining rigorous human oversight, verifying and editing outputs, and applying AI augmentation transparently and ethically to unlock its potential for enhancing human potential.

    • Artificial Intelligence
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    Data-Informed Decision-Making Checklist

    The ability to transform data and information into actionable and verified wisdom ultimately leads to better problem solving and decisions-making. This guide will provide you with a checklist to follow through each of the 8 stages of decision-making.

    • Data-Informed Decision-Making
  • Guide 2 Thumbnail
    Decoding Ad Hoc Visualizations Best Practices Quick Guide

    This guide aims to arm you with the critical skills needed to evaluate ad hoc visualizations—those quick, attention-grabbing charts and graphs often encountered on social media, in blogs, or in news stories. While these visualizations can offer valuable insights, they are also prone to a host of pitfalls that can distort reality and mislead the viewer.

    • Data Analytics
  • Data Literacy Blueprint Guide
    The Data Literacy Blueprint for Individuals Quick Guide

    This quick guide provides an overview of the 9 components of data literacy, and lists the competency statements related to each component.

    • Data Literacy