Most orgs don’t have a data problem—they have a decision problem. This executive memo reveals why dashboards and training won’t fix culture, and what leaders must do differently to turn data into real decisions.
Most AI efforts fail not because of bad tech, but because of bad design. This article reframes AI as an organizational challenge, not just a data science project. Learn what business leaders must rethink to turn AI from a pilot into a competitive advantage.
Think your org is data-informed? Think again. Most companies are still making bad decisions—just with dashboards attached. Discover why traditional data literacy fails—and what it really takes to build a culture where data drives action.
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.
Enhance your decision-making with the Data and Analytics Principles in Action Quick Reference Guide. This resource offers a practical, checklist-based approach to applying foundational data and analytics principles, empowering you to handle data responsibly, derive actionable insights, and drive impactful change. Designed to support a data-informed mindset, this guide is ideal for leaders, data practitioners, and anyone seeking to strengthen their data-driven decisions.
This checklist is a guide designed to help creators of visualizations validate their effectiveness and accessibility. It encompasses key principles of design and data representation, ensuring that visualizations are not only visually appealing but also clear, intuitive, and accessible to a diverse audience. The checklist covers aspects such as simplicity, appropriate use of colors, data accuracy, and the cognitive load imposed on the consumer. It also emphasizes the importance of considering the audience's needs and includes specific measures for enhancing accessibility, such as alternative text for digital visualizations and a thoughtful selection of color palettes.
This quick reference guide provides a condensed overview of how to leverage systems thinking concepts, mindsets, and practices to enhance data-driven decision-making.
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.
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.
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.
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.
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.
This quick guide provides an overview of the 9 components of data literacy, and lists the competency statements related to each component.
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