data storytelling
data storytelling on Beyond Market Intelligence: a running collection of 3 stories we have gathered and hand-picked because they are worth your time. Every post here touches on data storytelling in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around data storytelling, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
Rethinking Data Visualisation: A UX Approach To Dashboards That Actually Drives Decisions
Data visualization often falls short of driving meaningful decisions, hampered by a disconnect between data and design. Rethinking Data Visualisation explores a transformative approach: applying structured UX thinking to dashboards and data presentations. Meriem Benhabiles guides you through a process, from initial questioning to impactful insight delivery. This isn't about aesthetics; it's about ensuring data truly informs action. For a deeper dive into related AI challenges, explore "How Does a RAG Reranker Really Work?" and discover enterprise document intelligence.
Turn Any CSV into an Executive Report with Python and AI
Transform raw CSV data into compelling executive reports with this practical Python and AI pipeline. Learn to automate data cleaning, uncover key insights, and generate clear, narrative summaries—all in a repeatable process. This empowers data-driven decision-making without manual effort. Discover a future-focused approach to data storytelling, moving beyond spreadsheets to unlock actionable intelligence. For those diving deeper into AI/ML project collaboration, consider the discussion started by /u/Economy_Cicada8756 on contributing to related projects.
What to consider when creating waterfall charts
Waterfall charts offer a clear, visual breakdown of how an initial value increases or decreases through a series of steps. When crafting these charts, consider the order of your data—it matters! Prioritize clarity by using distinct colors for each segment and ensuring labels are concise and easily understood. A well-constructed waterfall chart effectively communicates complex data trends at a glance. For related insights on navigating the evolving landscape of AI-generated content, explore our recent article, "LinkedIn adds a button to report AI-generated ‘slop’."