data-driven decision-making

  • Data Science for Entrepreneurship

    Data Science for Entrepreneurship – Turning Data Into Innovation and Impact

    Summary of the Book:

    Data Science for Entrepreneurship: Principles and Methods for Data Engineering, Analytics, Entrepreneurship, and the Society, edited by Werner Liebregts, Willem-Jan van den Heuvel, and Arjan van den Born, bridges the gap between cutting-edge data science and entrepreneurial action. This comprehensive and practical guide empowers readers to understand and apply the tools of data engineering and data analytics to solve real-world problems and build innovative, data-driven businesses. It emphasizes not just the technical aspects of data but also the societal and entrepreneurial implications—encouraging a responsible, opportunity-driven approach to data science.

  • Market Research in Practice

    Market Research in Practice – A Step-by-Step Guide to Smarter Business Decisions

    Summary of the Book:

    Market Research in Practice: An Introduction to Gaining Greater Market Insight by Paul Hague is a comprehensive and accessible guide for anyone looking to understand and apply market research effectively. Now in its fourth edition, this bestseller walks you through every stage of the research process, from planning and data collection to analysis and reporting. The book is packed with practical tools, real-world business examples, and clear explanations that make it perfect for marketers, students, and professionals alike who want to make data-driven decisions.

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