• EP37: Understanding the Five Whys Technique for Better Root Cause Analysis || Being An Analyst

  • May 14 2024
  • Duración: 26 m
  • Podcast

EP37: Understanding the Five Whys Technique for Better Root Cause Analysis || Being An Analyst  Por  arte de portada

EP37: Understanding the Five Whys Technique for Better Root Cause Analysis || Being An Analyst

  • Resumen

  • Hi Fellow Analysts

    Today we’re diving into a fundamental problem-solving technique that can transform your analysis – the Five Whys technique. Are you battling with root causes in your analysis? Whether you're a seasoned analyst or just starting out, this episode is for you.

    The Five Whys technique is a method used to identify the root cause of a problem by repeatedly asking "Why?" until the underlying cause is discovered. Originally developed by Sakichi Toyoda and used within the Toyota Motor Corporation, this technique is now widely adopted across various industries for its effectiveness in root cause analysis. In this episode, we'll walk you through the steps of the Five Whys technique, provide a practical example, and discuss its importance in uncovering underlying causes, promoting thoroughness, prioritizing actions, and fostering continuous improvement.

    So, next time you encounter a problem in your analysis, remember to use the Five Whys technique. It’s a simple yet powerful tool that can help you uncover the root cause of issues and improve your processes over time. Thanks for tuning in to "How to Start Being an Analyst." If you found this episode helpful, please subscribe and share it with your colleagues. Let’s continue to grow and improve together.


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    This podcast is dedicated to discussing the following: Analysis mindset, Data analysis, Career tips/ Career advice, Analyst career, Business analysis, Financial analysis, Analyst training, Analytics, Industry 4.0/4IR, Business intelligence, AI in business, Financial Reporting, Career development, Data science, IT strategy, Professional development, Analysis for SMMEs, and Data Industry trends

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