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Category: analytics

  • Why Storytelling With Data Matters for Business and Data Analysts

    Why Storytelling With Data Matters for Business and Data Analysts Data is driving the future of business and here’s how you can be prepared for that future The post Why Storytelling With Data Matters for Business and Data Analysts appeared first on Towards Data Science. Rashi Desai Go to original source

  • Why AI Still Can’t Replace Analysts: A Predictive Maintenance Example

    Why AI Still Can’t Replace Analysts: A Predictive Maintenance Example Learn about the limitations of AI in analytics through the example of bearing vibration data analysis The post Why AI Still Can’t Replace Analysts: A Predictive Maintenance Example appeared first on Towards Data Science. Illia Smoliienko Go to original source

  • Past is Prologue: How Conversational Analytics Is Changing Data Work

    Past is Prologue: How Conversational Analytics Is Changing Data Work The future of reporting will be about encoding the value proposition of a product into prompt design. The post Past is Prologue: How Conversational Analytics Is Changing Data Work appeared first on Towards Data Science. Whitney Marks Go to original source

  • The Misconception of Retraining: Why Model Refresh Isn’t Always the Fix

    The Misconception of Retraining: Why Model Refresh Isn’t Always the Fix Retraining is easy; knowing when not to is the real challenge. In machine learning, performance drops are rarely about stale weights; they’re about misunderstood signals. The post The Misconception of Retraining: Why Model Refresh Isn’t Always the Fix appeared first on Towards Data Science.…

  • The Secret Power of Data Science in Customer Support

    The Secret Power of Data Science in Customer Support Customer support is a data goldmine. Here’s how to unlock its full potential with data science. The post The Secret Power of Data Science in Customer Support appeared first on Towards Data Science. Yu Dong Go to original source

  • A Practical Introduction to Google Analytics

    A Practical Introduction to Google Analytics Learn the key concepts and reports of Google Analytics while practising with the platform The post A Practical Introduction to Google Analytics appeared first on Towards Data Science. Eugenia Anello Go to original source

  • The Basics you Must Master Before Diving into Marketing & Product Analytics

    The Basics you Must Master Before Diving into Marketing & Product Analytics Things that still confuse many Data Analysts Recently, I gave a presentation on a specific topic: how to investigate drop-offs in conversion funnels within the context of marketing and product analysis. What surprised me? The incredible engagement from the audience. The questions were varied…

  • Top 3 Questions to Ask in Near Real-Time Data Solutions

    Top 3 Questions to Ask in Near Real-Time Data Solutions Questions that guide architectural decisions to balance functional requirements with non-functional ones, like latency and scalability Continue reading on Towards Data Science » Shawn Shi Go to original source

  • Four Ways to Improve Statistical Power in A/B Testing (Without Increasing Test Duration, Duh)

    Four Ways to Improve Statistical Power in A/B Testing (Without Increasing Test Duration, Duh) In A/B testing, you often have to balance statistical power and how long the test takes. Learn how Allocation, Effect Size, CUPED & Binarization can help you. Image by author In A/B testing, you often have to balance statistical power and how long…

  • From Default Python Line Chart to Journal-Quality Infographics

    From Default Python Line Chart to Journal-Quality Infographics Transform boring default Matplotlib line charts into stunning, customized visualizations Cover, image by the Author Everyone who has used Matplotlib knows how ugly the default charts look like. In this series of posts, I’ll share some tricks to make your visualizations stand out and reflect your individual style.…