Data As A Product

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Data Analytics with Hadoop

Author : Benjamin Bengfort
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491913762
Total Pages : 288 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Data Analytics with Hadoop by : Benjamin Bengfort

Download or read book Data Analytics with Hadoop written by Benjamin Bengfort and published by "O'Reilly Media, Inc.". This book was released on 2016-06 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ready to use statistical and machine-learning techniques across large data sets? This practical guide shows you why the Hadoop ecosystem is perfect for the job. Instead of deployment, operations, or software development usually associated with distributed computing, you’ll focus on particular analyses you can build, the data warehousing techniques that Hadoop provides, and higher order data workflows this framework can produce. Data scientists and analysts will learn how to perform a wide range of techniques, from writing MapReduce and Spark applications with Python to using advanced modeling and data management with Spark MLlib, Hive, and HBase. You’ll also learn about the analytical processes and data systems available to build and empower data products that can handle—and actually require—huge amounts of data. Understand core concepts behind Hadoop and cluster computing Use design patterns and parallel analytical algorithms to create distributed data analysis jobs Learn about data management, mining, and warehousing in a distributed context using Apache Hive and HBase Use Sqoop and Apache Flume to ingest data from relational databases Program complex Hadoop and Spark applications with Apache Pig and Spark DataFrames Perform machine learning techniques such as classification, clustering, and collaborative filtering with Spark’s MLlib

Designing Great Data Products

Author : Jeremy Howard
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449333680
Total Pages : 25 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Designing Great Data Products by : Jeremy Howard

Download or read book Designing Great Data Products written by Jeremy Howard and published by "O'Reilly Media, Inc.". This book was released on 2012-03-23 with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the past few years, we’ve seen many data products based on predictive modeling. These products range from weather forecasting to recommendation engines like Amazon's. Prediction technology can be interesting and mathematically elegant, but we need to take the next step: going from recommendations to products that can produce optimal strategies for meeting concrete business objectives. We already know how to build these products: they've been in use for the past decade or so, but they're not as common as they should be. This report shows how to take the next step: to go from simple predictions and recommendations to a new generation of data products with the potential to revolutionize entire industries.

Deep Data Analytics for New Product Development

Author : Walter R. Paczkowski
Publisher : Routledge
ISBN 13 : 0429663315
Total Pages : 294 pages
Book Rating : 4.4/5 (296 download)

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Book Synopsis Deep Data Analytics for New Product Development by : Walter R. Paczkowski

Download or read book Deep Data Analytics for New Product Development written by Walter R. Paczkowski and published by Routledge. This book was released on 2020-02-19 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents and develops the deep data analytics for providing the information needed for successful new product development. Deep Data Analytics for New Product Development has a simple theme: information about what customers need and want must be extracted from data to effectively guide new product decisions regarding concept development, design, pricing, and marketing. The benefits of reading this book are twofold. The first is an understanding of the stages of a new product development process from ideation through launching and tracking, each supported by information about customers. The second benefit is an understanding of the deep data analytics for extracting that information from data. These analytics, drawn from the statistics, econometrics, market research, and machine learning spaces, are developed in detail and illustrated at each stage of the process with simulated data. The stages of new product development and the supporting deep data analytics at each stage are not presented in isolation of each other, but are presented as a synergistic whole. This book is recommended reading for analysts involved in new product development. Readers with an analytical bent or who want to develop analytical expertise would also greatly benefit from reading this book, as well as students in business programs.

Data Mesh

Author : Zhamak Dehghani
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492092363
Total Pages : 387 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Data Mesh by : Zhamak Dehghani

Download or read book Data Mesh written by Zhamak Dehghani and published by "O'Reilly Media, Inc.". This book was released on 2022-03-08 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many enterprises are investing in a next-generation data lake, hoping to democratize data at scale to provide business insights and ultimately make automated intelligent decisions. In this practical book, author Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today's organizations. A distributed data mesh is a better choice. Dehghani guides architects, technical leaders, and decision makers on their journey from monolithic big data architecture to a sociotechnical paradigm that draws from modern distributed architecture. A data mesh considers domains as a first-class concern, applies platform thinking to create self-serve data infrastructure, treats data as a product, and introduces a federated and computational model of data governance. This book shows you why and how. Examine the current data landscape from the perspective of business and organizational needs, environmental challenges, and existing architectures Analyze the landscape's underlying characteristics and failure modes Get a complete introduction to data mesh principles and its constituents Learn how to design a data mesh architecture Move beyond a monolithic data lake to a distributed data mesh.

Product Analytics

Author : Joanne Rodrigues
Publisher : Addison-Wesley Professional
ISBN 13 : 0135258634
Total Pages : 735 pages
Book Rating : 4.1/5 (352 download)

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Book Synopsis Product Analytics by : Joanne Rodrigues

Download or read book Product Analytics written by Joanne Rodrigues and published by Addison-Wesley Professional. This book was released on 2020-08-27 with total page 735 pages. Available in PDF, EPUB and Kindle. Book excerpt: Use Product Analytics to Understand Consumer Behavior and Change It at Scale Product Analytics is a complete, hands-on guide to generating actionable business insights from customer data. Experienced data scientist and enterprise manager Joanne Rodrigues introduces practical statistical techniques for determining why things happen and how to change what people do at scale. She complements these with powerful social science techniques for creating better theories, designing better metrics, and driving more rapid and sustained behavior change. Writing for entrepreneurs, product managers/marketers, and other business practitioners, Rodrigues teaches through intuitive examples from both web and offline environments. Avoiding math-heavy explanations, she guides you step by step through choosing the right techniques and algorithms for each application, running analyses in R, and getting answers you can trust. Develop core metrics and effective KPIs for user analytics in any web product Truly understand statistical inference, and the differences between correlation and causation Conduct more effective A/B tests Build intuitive predictive models to capture user behavior in products Use modern, quasi-experimental designs and statistical matching to tease out causal effects from observational data Improve response through uplift modeling and other sophisticated targeting methods Project business costs/subgroup population changes via advanced demographic projection Whatever your product or service, this guide can help you create precision-targeted marketing campaigns, improve consumer satisfaction and engagement, and grow revenue and profits. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Data Fluency

Author : Zach Gemignani
Publisher : John Wiley & Sons
ISBN 13 : 1118851005
Total Pages : 294 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Data Fluency by : Zach Gemignani

Download or read book Data Fluency written by Zach Gemignani and published by John Wiley & Sons. This book was released on 2014-10-10 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: A dream come true for those looking to improve their data fluency Analytical data is a powerful tool for growing companies, but what good is it if it hides in the shadows? Bring your data to the forefront with effective visualization and communication approaches, and let Data Fluency: Empowering Your Organization with Effective Communication show you the best tools and strategies for getting the job done right. Learn the best practices of data presentation and the ways that reporting and dashboards can help organizations effectively gauge performance, identify areas for improvement, and communicate results. Topics covered in the book include data reporting and communication, audience and user needs, data presentation tools, layout and styling, and common design failures. Those responsible for analytics, reporting, or BI implementation will find a refreshing take on data and visualization in this resource, as will report, data visualization, and dashboard designers. Conquer the challenge of making valuable data approachable and easy to understand Develop unique skills required to shape data to the needs of different audiences Full color book links to bonus content at juiceanalytics.com Written by well-known and highly esteemed authors in the data presentation community Data Fluency: Empowering Your Organization with Effective Communication focuses on user experience, making reports approachable, and presenting data in a compelling, inspiring way. The book helps to dissolve the disconnect between your data and those who might use it and can help make an impact on the people who are most affected by data. Use Data Fluency today to develop the skills necessary to turn data into effective displays for decision-making.

Data Jujitsu

Author : D. J. Patil
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449341152
Total Pages : 26 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Data Jujitsu by : D. J. Patil

Download or read book Data Jujitsu written by D. J. Patil and published by "O'Reilly Media, Inc.". This book was released on 2012 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Evolution of Data Products

Author : Mike Loukides
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 144931712X
Total Pages : 17 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis The Evolution of Data Products by : Mike Loukides

Download or read book The Evolution of Data Products written by Mike Loukides and published by "O'Reilly Media, Inc.". This book was released on 2011-09-14 with total page 17 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report examines the important shifts in data products. Drawing from diverse examples, including iTunes, Google's self-driving car, and patient monitoring, author Mike Loukides explores the "disappearance" of data, the power of combining data, and the difference between discovery and recommendation. Looking ahead, the analysis finds the real changes in our lives will come from products and companies that reveal data results, not the data itself.

Data Privacy

Author : Nishant Bhajaria
Publisher : Simon and Schuster
ISBN 13 : 1638357188
Total Pages : 632 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis Data Privacy by : Nishant Bhajaria

Download or read book Data Privacy written by Nishant Bhajaria and published by Simon and Schuster. This book was released on 2022-03-22 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: Engineer privacy into your systems with these hands-on techniques for data governance, legal compliance, and surviving security audits. In Data Privacy you will learn how to: Classify data based on privacy risk Build technical tools to catalog and discover data in your systems Share data with technical privacy controls to measure reidentification risk Implement technical privacy architectures to delete data Set up technical capabilities for data export to meet legal requirements like Data Subject Asset Requests (DSAR) Establish a technical privacy review process to help accelerate the legal Privacy Impact Assessment (PIA) Design a Consent Management Platform (CMP) to capture user consent Implement security tooling to help optimize privacy Build a holistic program that will get support and funding from the C-Level and board Data Privacy teaches you to design, develop, and measure the effectiveness of privacy programs. You’ll learn from author Nishant Bhajaria, an industry-renowned expert who has overseen privacy at Google, Netflix, and Uber. The terminology and legal requirements of privacy are all explained in clear, jargon-free language. The book’s constant awareness of business requirements will help you balance trade-offs, and ensure your user’s privacy can be improved without spiraling time and resource costs. About the technology Data privacy is essential for any business. Data breaches, vague policies, and poor communication all erode a user’s trust in your applications. You may also face substantial legal consequences for failing to protect user data. Fortunately, there are clear practices and guidelines to keep your data secure and your users happy. About the book Data Privacy: A runbook for engineers teaches you how to navigate the trade-off s between strict data security and real world business needs. In this practical book, you’ll learn how to design and implement privacy programs that are easy to scale and automate. There’s no bureaucratic process—just workable solutions and smart repurposing of existing security tools to help set and achieve your privacy goals. What's inside Classify data based on privacy risk Set up capabilities for data export that meet legal requirements Establish a review process to accelerate privacy impact assessment Design a consent management platform to capture user consent About the reader For engineers and business leaders looking to deliver better privacy. About the author Nishant Bhajaria leads the Technical Privacy and Strategy teams for Uber. His previous roles include head of privacy engineering at Netflix, and data security and privacy at Google. Table of Contents PART 1 PRIVACY, DATA, AND YOUR BUSINESS 1 Privacy engineering: Why it’s needed, how to scale it 2 Understanding data and privacy PART 2 A PROACTIVE PRIVACY PROGRAM: DATA GOVERNANCE 3 Data classification 4 Data inventory 5 Data sharing PART 3 BUILDING TOOLS AND PROCESSES 6 The technical privacy review 7 Data deletion 8 Exporting user data: Data Subject Access Requests PART 4 SECURITY, SCALING, AND STAFFING 9 Building a consent management platform 10 Closing security vulnerabilities 11 Scaling, hiring, and considering regulations

Data Science For Dummies

Author : Lillian Pierson
Publisher : John Wiley & Sons
ISBN 13 : 1119811619
Total Pages : 436 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Data Science For Dummies by : Lillian Pierson

Download or read book Data Science For Dummies written by Lillian Pierson and published by John Wiley & Sons. This book was released on 2021-08-20 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Monetize your company’s data and data science expertise without spending a fortune on hiring independent strategy consultants to help What if there was one simple, clear process for ensuring that all your company’s data science projects achieve a high a return on investment? What if you could validate your ideas for future data science projects, and select the one idea that’s most prime for achieving profitability while also moving your company closer to its business vision? There is. Industry-acclaimed data science consultant, Lillian Pierson, shares her proprietary STAR Framework – A simple, proven process for leading profit-forming data science projects. Not sure what data science is yet? Don’t worry! Parts 1 and 2 of Data Science For Dummies will get all the bases covered for you. And if you’re already a data science expert? Then you really won’t want to miss the data science strategy and data monetization gems that are shared in Part 3 onward throughout this book. Data Science For Dummies demonstrates: The only process you’ll ever need to lead profitable data science projects Secret, reverse-engineered data monetization tactics that no one’s talking about The shocking truth about how simple natural language processing can be How to beat the crowd of data professionals by cultivating your own unique blend of data science expertise Whether you’re new to the data science field or already a decade in, you’re sure to learn something new and incredibly valuable from Data Science For Dummies. Discover how to generate massive business wins from your company’s data by picking up your copy today.

Designing with Data

Author : Rochelle King
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449334954
Total Pages : 275 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Designing with Data by : Rochelle King

Download or read book Designing with Data written by Rochelle King and published by "O'Reilly Media, Inc.". This book was released on 2017-03-29 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: On the surface, design practices and data science may not seem like obvious partners. But these disciplines actually work toward the same goal, helping designers and product managers understand users so they can craft elegant digital experiences. While data can enhance design, design can bring deeper meaning to data. This practical guide shows you how to conduct data-driven A/B testing for making design decisions on everything from small tweaks to large-scale UX concepts. Complete with real-world examples, this book shows you how to make data-driven design part of your product design workflow. Understand the relationship between data, business, and design Get a firm grounding in data, data types, and components of A/B testing Use an experimentation framework to define opportunities, formulate hypotheses, and test different options Create hypotheses that connect to key metrics and business goals Design proposed solutions for hypotheses that are most promising Interpret the results of an A/B test and determine your next move

Law of Raw Data

Author : Jan Bernd Nordemann
Publisher : Kluwer Law International B.V.
ISBN 13 : 9403532815
Total Pages : 605 pages
Book Rating : 4.4/5 (35 download)

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Book Synopsis Law of Raw Data by : Jan Bernd Nordemann

Download or read book Law of Raw Data written by Jan Bernd Nordemann and published by Kluwer Law International B.V.. This book was released on 2021-08-23 with total page 605 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data, in its raw or unstructured form, has become an important and valuable economic asset, lending it the sobriquet of ‘the oil of the twenty-first century’. Clearly, as intellectual property, raw data must be legally defined if not somehow protected to ensure that its access and re-use can be subject to legal relations. As legislators struggle to develop a settled legal regime in this complex area, this indispensable handbook will offer a careful and dedicated analysis of the legal instruments and remedies, both existing and potential, that provide such protection across a wide variety of national legal systems. Produced under the auspices of the International Association for the Protection of International Property (AIPPI), more than forty of the association’s specialists from twenty-three countries worldwide contribute national chapters on the relevant law in their respective jurisdictions. The contributions thoroughly explain how each country approaches such crucial matters as the following: if there is any intellectual property right available to protect raw data; the nature of such intellectual property rights that exist in unstructured data; contracts on data and which legal boundaries stand in the way of contract drafting; liability for data products or services; and questions of international private law and cross-border portability. Each country’s rules concerning specific forms of data – such as data embedded in household appliances and consumer goods, criminal offence data, data relating to human genetics, tax and bank secrecy, medical records, and clinical trial data – are described, drawing on legislation, regulation, and case law. A matchless legal resource on one of the most important raw materials of the twenty-first century, this book provides corporate counsel, practitioners and policymakers working in the field of intellectual property rights, and concerned academics with both a broad-based global overview on emerging legal strategies in the protection of unstructured data and the latest information on existing legislation and regulation in the area.

You Are the Product

Author : Avery Elizabeth Hurt
Publisher : Enslow Publishing, LLC
ISBN 13 : 1978507828
Total Pages : 48 pages
Book Rating : 4.9/5 (785 download)

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Book Synopsis You Are the Product by : Avery Elizabeth Hurt

Download or read book You Are the Product written by Avery Elizabeth Hurt and published by Enslow Publishing, LLC. This book was released on 2019-07-15 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most people sign on to one or more social media accounts every day without giving much thought to how these services are offered for free. This timely volume explains to readers how social media sites use their personal data to make a profit. By explaining how advertising targets specific demographic groups and how big data firms make use of individuals' information, this book gives readers a clear understanding of their place in the social media business model. In addition, readers will learn how they can take steps to protect their privacy and reduce the amount of information available to data mining companies. Illustrations and in-depth sidebars round out the text.

Lean Analytics

Author : Alistair Croll
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098168151
Total Pages : 403 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Lean Analytics by : Alistair Croll

Download or read book Lean Analytics written by Alistair Croll and published by "O'Reilly Media, Inc.". This book was released on 2024-02-23 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whether you're a startup founder trying to disrupt an industry or an entrepreneur trying to provoke change from within, your biggest challenge is creating a product people actually want. Lean Analytics steers you in the right direction. This book shows you how to validate your initial idea, find the right customers, decide what to build, how to monetize your business, and how to spread the word. Packed with more than thirty case studies and insights from over a hundred business experts, Lean Analytics provides you with hard-won, real-world information no entrepreneur can afford to go without. Understand Lean Startup, analytics fundamentals, and the data-driven mindset Look at six sample business models and how they map to new ventures of all sizes Find the One Metric That Matters to you Learn how to draw a line in the sand, so you'll know it's time to move forward Apply Lean Analytics principles to large enterprises and established products

Experiment-Driven Product Development

Author : Paul Rissen
Publisher : Apress
ISBN 13 : 1484255283
Total Pages : 133 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Experiment-Driven Product Development by : Paul Rissen

Download or read book Experiment-Driven Product Development written by Paul Rissen and published by Apress. This book was released on 2019-11-21 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: Improving your craft is a key skill for product and user experience professionals working in the digital era. There are many established methods of product development to inspire and focus teams—Sprint, Lean, Agile, Kanban—all of which focus on solutions to customer and business problems. Enter XDPD, or Experiment-Driven Product Development—a new approach that turns the spotlight on questions to be answered, rather than on solutions. Within XDPD, discovery is a mindset, not a project phase. In Experiment-Driven Product Development, author Paul Rissen introduces a philosophy of product development that will hone your skills in discovery, research and learning. By guiding you through a practical, immediately applicable framework, you can learn to ask, and answer, questions which will supercharge your product development, making teams smarter and better at developing products and services that deliver for users and businesses alike. When applying the XDPD framework within your organization, the concept of an experiment—a structured way of asking, and answering, questions—becomes the foundation of almost everything you do, instilling a constant sense of discovery that keeps your team inspired. All types of activities, from data analysis to writing software, are seen through the lens of research. Rather than treating research as a separate task from the rest of product development, this book approaches the entire practice as one of research and continuous discovery. Designing successful experiments takes practice. That’s where Rissen’s years of industry expertise come in. In this book, you are given step-by-step tools to ensure that meaningful, efficient progress is made with each experiment. This approach will prove beneficial to your team, your users, and most importantly, to your product’s lasting success. Experiment-Driven Product Development offers a greater appreciation of the craft of experimentation and helps you adapt it in your own context. In our modern age of innovation, XDPD can put you ahead. Go forth and experiment! What You Will LearnKnow how to approach product development in a leaner, more efficient wayUnderstand where and when experiments can be useful, and how they fit into pre-existing organization environments and processesRealize why you should be thinking about the simplest, useful thing rather than the minimum, viable productDiscover how to break down feature and design ideas into the assumptions and the premises that lie behind themAppreciate the importance of designing your experiments, and the statistical concepts that underpin their successMaster the art of communicating the results of experiments back to stakeholders, and help the results guide what happens next Who This Book is For Professionals working in digital product design and development, user experience, and service design. This book is best suited for those who work on digital products every day and want to adopt better approaches to gaining knowledge about their users, what works, and what does not work.

Big Data Marketing

Author : Lisa Arthur
Publisher : John Wiley & Sons
ISBN 13 : 1118733894
Total Pages : 212 pages
Book Rating : 4.1/5 (187 download)

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Book Synopsis Big Data Marketing by : Lisa Arthur

Download or read book Big Data Marketing written by Lisa Arthur and published by John Wiley & Sons. This book was released on 2013-10-07 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage big data insights to improve customer experiences and insure business success Many of today's businesses find themselves caught in a snarl of internal data, paralyzed by internal silos, and executing antiquated marketing approaches. As a result, consumers are losing patience, shareholders are clamoring for growth and differentiation, and marketers are left struggling to untangle the massive mess. Big Data Marketing provides a strategic road map for executives who want to clear the chaos and start driving competitive advantage and top line growth. Using real-world examples, non-technical language, additional downloadable resources, and a healthy dose of humor, Big Data Marketing will help you discover the remedy offered by data-driven marketing. Explains how marketers can use data to learn what they need to know Details strategies to drive marketing relevance and Return On Marketing Investment (ROMI) Provides a five-step approach in the journey to a more data-driven marketing organization Author Lisa Arthur, the Chief Marketing Officer for Teradata Applications, the leader in integrated marketing software, meets with thousands of CMOs and marketing professionals annually through public speaking and events Big Data Marketing reveals patterns in your customers' behavior and proven ways to elevate customer experiences. Leverage these insights to insure your business's success.

Competition, Data and Privacy in the Digital Economy

Author : Maria Wasastjerna
Publisher : Kluwer Law International B.V.
ISBN 13 : 9403522240
Total Pages : 416 pages
Book Rating : 4.4/5 (35 download)

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Book Synopsis Competition, Data and Privacy in the Digital Economy by : Maria Wasastjerna

Download or read book Competition, Data and Privacy in the Digital Economy written by Maria Wasastjerna and published by Kluwer Law International B.V.. This book was released on 2020-07-16 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Increasingly, we conduct our lives online, and in doing so, we grant access to our personal information. The crucial feedstock of the world economy thus generated - the commercialization and exploitation of personal data and the intrusion of digital privacy it entails - has built an imposing edifice of market power. As we enter the third decade of the 21st century, this detailed exploration of the interlinkage between competition and data privacy takes a critical look at competition policy to evaluate whether the system in its current form and with the existing approach is capable of tackling the challenges raised by the role of personal data in the shift from an offline to an online economy. Challenging the commonplace assumption that privacy has little or no role and relevance in competition law, the author’s penetrating analysis accomplishes the following and more: provides an in-depth understanding of the intersection of competition and privacy in the data-driven economy; surveys legal policy developments on the role of privacy in competition law; underlines the importance of non-price parameters in competition, such as consumer choice; clearly explains why and how competition law can protect privacy among its policy objectives; and addresses challenges in measuring the intangible harm of digital privacy violation in assessing abuse of market power. Recent case law in Europe and elsewhere, a revealing comparison between relevant European Union (EU) and United States (US) practice, the expanded role of the EU’s Competition Commissioner, and the likely impact of such phenomena as the coronavirus pandemic are all drawn into the book’s remit. In her analysis of the growing privacy dimension in competition policy, the author examines the topic from a broad perspective that includes societal, political, economic, historical and cultural elements. Her insightful multidimensional and value-based review will prove of immeasurable value to practitioners, academics, policymakers and enforcers in its identification of implications for business practice as we go forward.