How to Interpret Data

Discover the skills and insights you need to accurately and efficiently interpret data, improving your influence and decision-making at work

The best business decisions and strategies are always data-driven. Improve your understanding of data and your digital literacy with How to Interpret Data. Data is a cornerstone of our decision-making, but the ability to effectively interpret data is challenging to master. This book demystifies the process of data interpretation, providing you with the tools and knowledge you need to develop smart data-driven strategies. Packed full of fascinating interviews and stories which uncover the potential of data-driven strategies, this book will show you not only how to effectively interpret data, but will also uncover how you can use this knowledge to improve your decision-making and influence at work.

Is part of the bestselling Creating Success series, which has sold over 1.5 million copies and contains practical advice on essential and value-adding work skills to help you develop your career

Autorentext
Nicholas Kelly is a principal at G&K Consulting, based in Bonney Lake, Washington. He is a leader in analytics adoption having designed and developed dashboards for some of the world's largest companies, from global banks to Formula 1 teams. He is a frequent speaker at international conferences, has trained thousands of professionals in data visualization and analytics adoption and is the inventor of the Dashboard Wireframe Kit

Inhalt

• • Chapter - 00: Understanding data: The power to influence;
  • Chapter - 01: Frameworks for data analysis: tools and techniques;
  • Chapter - 02: Interpreting data: Finding the story in numbers;
  • Chapter - 03: Setting context and identifying key insights;
  • Chapter - 04: Crafting compelling data narratives;
  • Chapter - 05: Communicating and influencing with data;
  • Chapter - 06: Data-driven decision making: applying insights;
  • Chapter - 07: Building a data-driven culture;
  • Chapter - 08: Ethics, privacy and the future of data interpretation