Data and Analytics
This category helps you understand how data is used to make better decisions, uncover patterns, and improve performance across many fields. The book summaries cover topics such as statistics, data analysis, business intelligence, and machine learning. They offer clear explanations of how organizations collect and use data to solve problems and drive results. You will also explore how to think critically about data, avoid common interpretation mistakes, and ask better questions. These books are ideal for readers who want to build a strong foundation in analytical thinking without needing a technical background. Whether you work with data or simply want to understand how it shapes modern life, this section gives you practical tools and insights. The goal is to make data more approachable so you can understand its role in today’s world and use it to support smarter choices in work and life.
Explore 27 Data and Analytics books
Alistair Croll, Benjamin Yoskovitz
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Use Data to Build a Better Startup Faster
Who should read Lean Analytics?
Lean Analytics is ideal for entrepreneurs, startup founders, product managers, data analysts, and business leaders who are looking to harness the power of data to make informed decisions. It is particularly beneficial for those involved in the early stages of a business, as it provides guidance on how to validate ideas and measure progress effectively. Additionally, established companies looking to enhance their data-driven culture and improve operational efficiency will find valuable insights in this book.
Eric Siegel
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The Power to Predict Who Will Click, Buy, Lie, Or Die
Who should read Predictive Analytics?
This book is ideal for data analysts, business professionals, and decision-makers who wish to understand the principles and applications of predictive analytics. It is also beneficial for students studying data science, statistics, or related fields, as well as anyone interested in leveraging data to drive strategic decisions in their organizations.
Foster Provost, Tom Fawcett
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Who should read Data Science for Business?
This book is ideal for business professionals, data scientists, and decision-makers who want to understand how to leverage data science for strategic advantage. It is particularly beneficial for those who seek to bridge the gap between technical data analysis and business application, as well as individuals looking to foster a data-driven culture within their organizations.
John Rossman
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14 Leadership Principles Behind the World's Most Disruptive Company
Who should read The Amazon Way?
This book is ideal for entrepreneurs, business leaders, and managers seeking to understand the principles behind Amazon's success. It is also valuable for anyone interested in e-commerce, technology, and customer service strategies. Additionally, students and professionals in business administration and management fields will find the insights in this book applicable to their studies and careers.
Betsy Beyer, Chris Jones, Jennifer Petoff, Niall Richard Murphy
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How Google Runs Production Systems
Who should read Site Reliability Engineering
?
This book is recommended for software engineers, system administrators, DevOps practitioners, and IT professionals interested in improving service reliability and operational excellence. It is also beneficial for engineering managers and leaders looking to implement SRE practices in their organizations. Additionally, anyone involved in building or maintaining software services will find valuable insights and strategies in this book.
Thomas H. Davenport, Nitin Mittal
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How Smart Companies Win Big with Artificial Intelligence
Who should read All-in On AI?
This book is ideal for business leaders, entrepreneurs, technology professionals, policymakers, and anyone interested in the intersection of AI and business strategy. It is particularly beneficial for those looking to understand the implications of AI on their organizations and how to navigate the challenges and opportunities presented by this transformative technology.
Rhiannon Beaubien, Rosie Leizrowice
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Who should read The Great Mental Models Volume 3: Systems and Mathematics?
This book is ideal for individuals who are looking to improve their problem-solving and decision-making skills through the lens of systems thinking and mathematics. It is particularly beneficial for professionals in fields such as business, engineering, economics, and social sciences, as well as students and lifelong learners who want to develop a more holistic understanding of complex systems. Additionally, anyone interested in enhancing their analytical skills and applying mathematical concepts to real-world situations will find valuable insights within this book.
Seth Stephens-Davidowitz
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Using Data Instead of Instinct to Make Better Choices
Who should read Don't Trust Your Gut?
This book is ideal for business leaders, managers, and professionals who are looking to improve their decision-making processes through data-driven strategies. It is also beneficial for entrepreneurs and startups aiming to establish a strong foundation for their business practices. Additionally, individuals interested in understanding the impact of cognitive biases and the importance of a data-centric culture will find valuable insights in this book.
Babette E. Bensoussan, Craig S. Fleisher
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12 Tools to Make Better Strategic Decisions
Who should read Analysis Without Paralysis?
This book is ideal for professionals involved in data analysis, decision-making, and organizational strategy. It is particularly beneficial for analysts, managers, and executives who seek to enhance their analytical skills and improve data-driven decision-making processes. Additionally, teams looking to foster a collaborative environment and streamline their analytical efforts will find valuable insights within its pages.
Eric Enge, Stephan Spencer, Rand Fishkin, Jessie Stricchiola
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Mastering Search Engine Optimization
Who should read The Art of SEO?
This book is ideal for digital marketers, SEO professionals, web developers, business owners, and anyone interested in improving their website's visibility in search engines. It is suitable for both beginners looking to understand the basics of SEO and experienced practitioners seeking to refine their strategies.
Lawrence McDonald, James Robinson
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Risks, Myths and Investment Opportunities in a Radically Reshaped Economy
Who should read How to Listen When Markets Speak?
This book is ideal for entrepreneurs, business leaders, marketers, product managers, and anyone involved in strategic decision-making within an organization. It provides practical insights and frameworks that can be applied across various industries, making it a valuable resource for those looking to improve their market listening capabilities.
Faris Yakob
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Innovative Advertising for a Digital World
Who should read Paid Attention?
This book is ideal for entrepreneurs, marketers, product developers, and anyone involved in creating content or products that rely on consumer engagement. It is also beneficial for business leaders looking to understand the dynamics of the attention economy and how to ethically navigate this landscape.
Martin Lindstrom
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Who should read Small Data?
This book is ideal for entrepreneurs, marketers, product developers, and anyone interested in understanding consumer behavior at a deeper level. It is particularly valuable for those who work in industries where personal connections and emotional engagement with customers are crucial for success. Additionally, business leaders looking to foster a culture of innovation and empathy within their organizations will find the insights in this book beneficial.
Simon Kingsnorth
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An Integrated Approach to Online Marketing
Who should read Digital Marketing Strategy?
This book is ideal for marketing professionals, business owners, and entrepreneurs who are looking to enhance their digital marketing skills and strategies. It is also suitable for students studying marketing, as it provides a solid foundation in digital marketing principles and practices. Additionally, anyone interested in understanding the evolving landscape of digital marketing and its impact on business can benefit from this book.
David De Cremer
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Who Leads and Who Follows in the AI Era?
Who should read Leadership by Algorithm?
This book is ideal for current and aspiring leaders, managers, and organizational decision-makers who are looking to enhance their leadership skills in a technology-driven environment. It is also beneficial for professionals in data analytics, human resources, and organizational development, as well as anyone interested in the future of work and the role of technology in leadership.
Raj Venkatesan, Jim Lecinski
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A Five-Stage Road Map to Implementing Artificial Intelligence in Marketing
Who should read The AI Marketing Canvas?
This book is ideal for marketing professionals, business leaders, and anyone interested in understanding how to leverage AI in marketing strategies. It is particularly beneficial for those looking to enhance their marketing efforts through data-driven decision-making, customer segmentation, and personalization. Additionally, it serves as a valuable resource for organizations seeking to navigate the ethical implications of AI in marketing.
Gökhan Barışkan
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Who should read SEO 2016?
This book is ideal for digital marketers, business owners, bloggers, and anyone interested in improving their website's visibility on search engines. Whether you're a beginner looking to grasp the basics of SEO or an experienced marketer seeking to refine your strategies, this book provides valuable insights and actionable tips that can lead to significant improvements in search rankings and online traffic.
Jan Cavelle
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Expert Insights into Growing Your Business
Who should read Scale for Success?
This book is ideal for entrepreneurs, business leaders, and managers looking to scale their organizations effectively. It is also beneficial for professionals in startups, small businesses, and established companies who are interested in growth strategies and operational efficiency. Additionally, anyone interested in understanding the interplay between technology and business growth will find valuable insights within its pages.
Phil Simon
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The Business Case for Big Data
Who should read Too Big to Ignore?
This book is ideal for business leaders, data analysts, and professionals across various industries who are looking to understand the importance of data in decision-making and operational efficiency. It is also beneficial for students and academics interested in data science, business strategy, and technology management.
Ian Ayres
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Why Thinking-by-Numbers Is the New Way to Be Smart
Who should read Super Crunchers?
This book is ideal for professionals in data analytics, business leaders, marketers, and anyone interested in understanding the impact of data on decision-making. It is also suitable for students and academics in fields related to data science, statistics, and business strategy. Additionally, readers who are curious about the ethical implications of data use will find valuable insights in Ayres' discussions.
Seth Stephens-Davidowitz
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What the Internet Can Tell Us about Who We Really Are
Who should read Everybody Lies?
This book is ideal for data analysts, marketers, social scientists, policymakers, and anyone interested in understanding human behavior through the lens of big data. It is also suitable for general readers curious about the intersection of technology, psychology, and society.
Tim Harford
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Ten Easy Rules to Make Sense of Statistics
Who should read The Data Detective?
This book is ideal for professionals across various industries, educators, students, and anyone interested in improving their data literacy and understanding the role of data in decision-making. It is particularly beneficial for leaders and managers who want to foster a data-driven culture within their organizations.
Niladri Syam, Rajeeve Kaul
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Essential Reference for Practitioners and Data Scientists
Who should read Machine Learning and Artificial Intelligence in Marketing and Sales?
This book is ideal for marketing professionals, business leaders, data analysts, and anyone interested in understanding how artificial intelligence and machine learning can transform marketing and sales strategies. It is suitable for both beginners looking to grasp the basics and experienced marketers seeking to deepen their knowledge and stay ahead of industry trends.
Ajay Agrawal, Joshua Gans, Avi Goldfarb
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The Simple Economics of Artificial Intelligence
Who should read Prediction Machines?
This book is ideal for business leaders, entrepreneurs, data scientists, and anyone interested in understanding the implications of artificial intelligence and predictive analytics in decision-making. It is particularly valuable for those looking to leverage AI to improve operational efficiency, enhance customer experiences, and innovate business models.
Ajay Agrawal, Joshua Gans, Avi Goldfarb
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The Disruptive Economics of Artificial Intelligence
Who should read Power and Prediction?
This book is ideal for professionals in technology, data science, and business strategy, as well as policymakers and ethicists concerned with the implications of predictive analytics. It is also relevant for students and academics in fields such as sociology, political science, and information technology.
Pushpak Sarkar
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A Framework for Providing Reusable Enterprise Data Services
Who should read Data as a Service?
This book is ideal for data professionals, business leaders, and IT decision-makers who are looking to understand the implications of adopting a Data as a Service model. It is also beneficial for those involved in data management, analytics, and governance, as well as organizations seeking to leverage data for competitive advantage.
Jayson Gaddis
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How to Work Through Conflict in Your High-Stakes Relationships
Who should read Getting to Zero?
This book is ideal for business leaders, entrepreneurs, sustainability advocates, and anyone interested in understanding how to integrate sustainable practices into their organizations. It is particularly relevant for those in roles related to strategy, operations, and innovation, as well as professionals seeking to foster a culture of agility and collaboration within their teams.