predictive analytics eric siegel
Strategic Analytics: The Insights You Need from Harvard Business Review - Eric Siegel, Harvard Business Review, Thomas H. Davenport, Cassie Kozyrkov,
Is your company ready for the next wave of analytics?Data analytics offer the opportunity to predict the future, use advanced technologies, and gain valuable insights about your business. But unless you''re staying on top of the latest developments, your company is wasting that potential--and your competitors will be gaining speed while you fall behind.Strategic Analytics: The Insights You Need from Harvard Business Review will provide you with today''s essential thinking about what data analytics are capable of, what critical talents your company needs to reap their benefits, and how to adopt analytics throughout your organization--before it''s too late.Business is changing. Will you adapt or be left behind?Get up to speed and deepen your understanding of the topics that are shaping your company''s future with the Insights You Need from Harvard Business Review series. Featuring HBR''s smartest thinking on fast-moving issues--blockchain, cybersecurity, AI, and more--each book provides the foundational introduction and practical case studies your organization needs to compete today and collects the best research, interviews, and analysis to get it ready for tomorrow. You can''t afford to ignore how these issues will transform the landscape of business and society. The Insights You Need series will help you grasp these critical ... Unknown localization key: "more"
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The AI Playbook - Eric Siegel
In his bestselling first book, Eric Siegel explained how machine learning works. Now, in The AI Playbook, he shows how to capitalize on it. “Eric Siegel delivers a robust primer on machine learning, the key mechanism in AI. A forward-looking, practical book and a must-read for anyone in the information economy.â€â€”Scott Galloway, NYU Stern Professor of Marketing; bestselling author of The Four“An antidote to today’s relentless AI hype—why some AI initiatives thrive while others fail and what it takes for companies and people to succeed.â€â€”Charles Duhigg, author of bestsellers The Power of Habit and Smarter Faster BetterThe greatest tool is the hardest to use. Machine learning is the world's most important general-purpose technology—but it's notoriously difficult to launch. Outside Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value. What's missing? A specialized business practice suitable for wide adoption. In The AI Playbook, bestselling author Eric Siegel presents the gold-standard, six-step practice for ushering machine learning projects, aka predictive AI projects, from conception to deployment. He illustrates the practice with stories of success and of failure, including revealing case studies from UPS, FICO, and prominent dot-coms. This disciplined approach serves both ... Unknown localization key: "more"
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Machine Learning for Business Analytics - Galit Shmueli, Peter C. Bruce, Nitin R. Patel, Kuber R. Deokar
MACHINE LEARNING FOR BUSINESS ANALYTICS Machine learning—also known as data mining or predictive analytics—is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques, and Applications with Analytic Solver® Data Mining provides a comprehensive introduction and an overview of this methodology. The fourth edition of this best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation, time series forecasting and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques. This fourth edition of Machine Learning for Business Analytics also includes: An expanded chapter on deep learningA new chapter on experimental feedback techniques, including A/B testing, uplift modeling, and reinforcement learningA new chapter on responsible data scienceUpdates and new material based on feedback from instructors teaching MBA, Masters in Business Analytics and related programs, undergraduate, diploma and executive courses, and from their studentsA full chapter devoted to relevant case studies with more than a dozen cases demonstrating applications for the machine learning techniquesEnd-of-chapter ... Unknown localization key: "more"
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Machine Learning for Business Analytics - Peter Gedeck, Galit Shmueli, Peter C. Bruce, Nitin R. Patel, Inbal Yahav
MACHINE LEARNING FOR BUSINESS ANALYTICS Machine learning —also known as data mining or data analytics— is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R provides a comprehensive introduction and an overview of this methodology. This best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation, and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques. This is the second R edition of Machine Learning for Business Analytics. This edition also includes: A new co-author, Peter Gedeck, who brings over 20 years of experience in machine learning using RAn expanded chapter focused on discussion of deep learning techniquesA new chapter on experimental feedback techniques including A/B testing, uplift modeling, and reinforcement learningA new chapter on responsible data scienceUpdates and new material based on feedback from instructors teaching MBA, Masters in Business Analytics and related programs, undergraduate, diploma and executive courses, and from their studentsA full chapter devoted ... Unknown localization key: "more"
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Practical Data Analytics for Innovation in Medicine - Thomas Cahill, Robert Nisbet, Gary D. Miner, Scott Burk, Nephi Walton, Mitchell Goldstein, L
Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research Using AI, ML, and Related Technologies, Second Edition discusses the needs of healthcare and medicine in the 21st century, explaining how data analytics play an important and revolutionary role. With healthcare effectiveness and economics facing growing challenges, there is a rapidly emerging movement to fortify medical treatment and administration by tapping the predictive power of big data, such as predictive analytics, which can bolster patient care, reduce costs, and deliver greater efficiencies across a wide range of operational functions. Sections bring a historical perspective, highlight the importance of using predictive analytics to help solve health crisis such as the COVID-19 pandemic, provide access to practical step-by-step tutorials and case studies online, and use exercises based on real-world examples of successful predictive and prescriptive tools and systems. The final part of the book focuses on specific technical operations related to quality, cost-effective medical and nursing care delivery and administration brought by practical predictive analytics.
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Data Analytics for Smart Infrastructure - Bin Liang, Zhidong Li, Yang Wang, Ting Guo, Hongda Tian, Fang Chen
This book presents, for the first time, data analytics for smart infrastructures. The authors draw on over a decadeÂ’s experience working with industry and demonstrating the capabilities of data analytics for infrastructure and asset management. The volume gives data-driven solutions to cover critical capabilities for infrastructure and asset management across three domains: 1) situation awareness 2) predictive analytics and 3) decision support. The reader will gain from various data analytic techniques including anomaly detection, performance evaluation, failure prediction, trend analysis, asset prioritization, smart sensing and real-time/online systems. These data analytic techniques are vital to solving problems in infrastructure and asset management. The reader will benefit from case studies drawn from critical infrastructures such as water management, structural health monitoring and rail networks. This groundbreaking work will be essential reading for those studying and practicing analytics in the context of smart infrastructure.
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Predictive HR Analytics - Daisung Jang, Kirsten Edwards, Dr Martin Edwards
Confidently use predictive analytic and statistical techniques to identify key relationships and trends in HR-related data to aid strategic organizational decision-making.
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Predictive Modelling for Football Analytics - Dimitris Karlis, Leonardo Egidi, Ioannis Ntzoufras
Discusses well-known models and main computational tools for the football analytics domain. Introduces footBayes R package that accompanies the reader through all examples proposed in the book.
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Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value - Eric Anderson, Florian Zettelmeyer
Lead your organization to become evidence-drivenData. It’s the benchmark that informs corporate projections, decision-making, and analysis. But, why do many organizations that see themselves as data-driven fail to thrive? In Leading with AI and Analytics, two renowned experts from the Kellogg School of Management show business leaders how to transform their organization to become evidence-driven, which leads to real, measurable changes that can help propel their companies to the top of their industries.The availability of unprecedented technology-enabled tools has made AI (Artificial Intelligence) an essential component of business analytics. But what’s often lacking are the leadership skills to integrate these technologies to achieve maximum value. Here, the authors provide a comprehensive game plan for developing that all-important human factor to get at the heart of data science: the ability to apply analytical thinking to real-world problems. Each of these tools and techniques comes to powerful life through a wealth of powerful case studies and real-world success stories.Inside, you’ll find the essential tools to help you:Develop a strong data science intuition quotientLead and scale AI and analytics throughout your organizationMove from “best-guess†decision making to evidence-based decisionsCraft strategies and tactics to create real impactWritten for anyone in a leadership or management ... Unknown localization key: "more"
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Business Analytics - Mary Ellen Gordon
This new textbook focuses on how data and analytics can be used to help inform organisational decision-making across the business by complementing human judgement. Taking a highly practical approach, it covers major use cases for analytics across different business areas, including marketing analytics, HR analytics, operational analytics and financial analytics. This concise and readable book grounds discussion in the fundamentals of data, analytics and data visualisation, and in an understanding of the legal and ethical responsibilities that come with working with data. Key features include: • Analytics in Practice vignettes show how data and analytics have been applied in real organisations • Video interviews with industry professionals bring examples to life • A running case study and accompanying dataset allow you to apply what you have learnt Suitable for undergraduate and postgraduate students studying business analytics. Mary Ellen Gordon is Senior Professional Teaching Fellow/Senior Lecturer in the School of Information Systems at the Victoria University of Wellington, New Zealand.
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Autism and The Predictive Brain - Peter Vermeulen
What if our previous teachings and beliefs regarding processing stimuli, reading emotions and understanding human behaviour is all untrue? In this book, Peter Vermeulen investigates new findings on the predictive brain and what these insights mean for autism and current interventions. Recent research has shown that the classic ideas about how the human brain first needs to process incoming information about the world before it can react are no longer tenable. Rather, to survive in the volatile, uncertain, complex and ambiguous environment of modern society, what we need is a brain that predicts the world quickly and unconsciously, while taking proper account of the context. This book explains the new theories relating to the predictive brain, summarising some of the more recent highly technical research studies about the predictive mind and autism into as accessible and understandable language as possible. Shedding new light on the predictive brain and its relation to autism, the chapters lead readers to the inevitable conclusion that many of the current interventions used in connection with autism urgently need updating and outline possibilities for revising. This approachable book synthesises advanced research for professionals across disciplines working with people with autism spectrum disorder along with readers who ... Unknown localization key: "more"
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Decision-Driven Analytics - Bart De Langhe, Stefano Puntoni
Companies have more data at their fingertips than ever before. Yet, studies show that many executives and organizations fail to extract real value from it. Challenging the conventional wisdom of data-driven decision-making, marketing professors and behavioral scientists Bart De Langhe and Stefano Puntoni argue that many analytics efforts flounder because data analyses are disconnected from the decisions to be made. In their important book, they offer a new approach they call decision-driven analytics. Counterintuitively, they argue that the key to making good decisions with data is to start by putting data in the background. Drawing from their own research and teaching, as well as real-world business cases, De Langhe and Puntoni offer four pillars of decision-driven analytics and guide you around common mistakes that have held back many organizations from using data for impact. In Decision-Driven Analytics, you will learn how to: + Avoid common pitfalls in data-driven decision-making; + Close the gap between managers and decision-making on one side, and data scientists and data analytics on the other; + Enhance the impact of data analytics on business outcomes; + Think without data to make better decisions; + Prepare for artificial intelligence's impact on data analytics; and + Evaluate the ... Unknown localization key: "more"
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Sports Analytics - Allistair McRobert, Peter O'Donoghue, Giles Oatley, Ambikesh Jayal
As the analysis of big datasets in sports performance becomes a more entrenched part of the sporting landscape, so the value of sport scientists and analysts with formal training in data analytics grows. Sports Analytics: Analysis, Visualisation and Decision Making in Sports Performance provides the most authoritative and comprehensive guide to the use of analytics in sport and its application in sports performance, coaching, talent identification and sports medicine available.Employing an approach-based structure and integrating problem-based learning throughout the text, the book clearly defines the difference between analytics and analysis and goes on to explain and illustrate methods including:Interactive visualisationSimulation and modellingGeospatial data analysisSpatiotemporal analysisMachine learningGenomic data analysisSocial network analysisOffering a mixed-methods case study chapter, no other book offers the same level of scientific grounding or practical application in sports data analytics. Sports Analytics is essential reading for all students of sports analytics, and useful supplementary reading for students and professionals in talent identification and development, sports performance analysis, sports medicine and applied computer science.
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Machine Learning for Business Analytics
Machine Learning is an integral tool in a business analyst’s arsenal because the rate at which data is being generated from different sources is increasing and working on complex unstructured data is becoming inevitable. Data collection, data cleaning, and data mining are rapidly becoming more difficult to analyze than just importing information from a primary or secondary source. The machine learning model plays a crucial role in predicting the future performance and results of a company. In real-time, data collection and data wrangling are the important steps in deploying the models. Analytics is a tool for visualizing and steering data and statistics. Business analysts can work with different datasets -- choosing an appropriate machine learning model results in accurate analyzing, forecasting the future, and making informed decisions. The global machine learning market was valued at $1.58 billion in 2017 and is expected to reach $20.83 billion in 2024 -- growing at a CAGR of 44.06% between 2017 and 2024. The authors have compiled important knowledge on machine learning real-time applications in business analytics. This book enables readers to get broad knowledge in the field of machine learning models and to carry out their future research work. The future trends of ... Unknown localization key: "more"
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Key Business Analytics - Bernard Marr
Key Business Analytics will help managers apply tools to turn data into insights that help them better understand their customers, optimize their internal processes and identify cost savings and growth opportunities. It includes analysis techniques within the following categories: Financial analytics – cashflow, profitability, sales forecasts Market analytics – market size, market trends, marketing channels Customer analytics – customer lifetime values, social media, customer needs Employee analytics – capacity, performance, leadership Operational analytics – supply chains, competencies, environmental impact Bare business analytics – sentiments, text, correlations Each tool will follow the bestselling Key format of being 5-6 pages long, broken into short sharp advice on the essentials: What is it? When should I use it? How do I use it? Tips and pitfalls Further reading This essential toolkit also provides an invaluable section on how to gather original data yourself through surveys, interviews, focus groups, etc.
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Business Analytics, Global Edition - James Evans
A balanced and holistic approach to business analytics Business Analytics teaches the fundamental concepts of modern business analytics and provides vital tools in understanding how data analysis works in today''s organisations. Author James Evans takes a fair and comprehensive, approach, examining business analytics from both descriptive and predictive perspectives. Students learn how to apply basic principles, communicate with analytics professionals, and effectively use and interpret analytic models to make better business decisions. And included access to commercial grade analytics software gives students real-world experience and career-focused value. As such, the 3rd Edition has gone through an extensive revision and now relies solely on Excel, enhancing students'' skills in the program and basic understanding of fundamental concepts.
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A General Introduction to Data Analytics - Tomáš Horváth, Andre Carvalho, Joao Moreira
A guide to the principles and methods of data analysis that does not require knowledge of statistics or programming A General Introduction to Data Analytics is an essential guide to understand and use data analytics. This book is written using easy-to-understand terms and does not require familiarity with statistics or programming. The authors—noted experts in the field—highlight an explanation of the intuition behind the basic data analytics techniques. The text also contains exercises and illustrative examples. Thought to be easily accessible to non-experts, the book provides motivation to the necessity of analyzing data. It explains how to visualize and summarize data, and how to find natural groups and frequent patterns in a dataset. The book also explores predictive tasks, be them classification or regression. Finally, the book discusses popular data analytic applications, like mining the web, information retrieval, social network analysis, working with text, and recommender systems. The learning resources offer: A guide to the reasoning behind data mining techniquesA unique illustrative example that extends throughout all the chaptersExercises at the end of each chapter and larger projects at the end of each of the text’s two main parts Together with these learning resources, the book can be used in ... Unknown localization key: "more"
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Data and Analytics for Instructional Designers - Megan Torrance
Add Data and Analytics to Your TD ToolkitInstructional design pro Megan Torrance addresses the importance of instructional designers accessing and applying learning and performance data—from how to design learning experiences with data collection in mind to how to use the data to improve and evaluate those experiences. With the advance of new learning technologies and data specifications, instructional designers have access to more and richer data sources than ever before. With that comes the question of what to do with the data. While most data and analytics books focus on their application for measurement and evaluation and assume a prior baseline understanding of what learning data and analytics mean, Data and Analytics for Instructional Designers delves into the foundational concepts that will enable instructional designers and L&D professionals to use data in their roles. Split into two parts, the book first defines key data and analytics terms, data specifications, learning metrics, and statistical concepts. It then lays out a framework for using learning data for planning how to gather data and to building scale and maturity in your data operations. Megan reassures readers that basic math skills with some computer assistance is what you’ll need to get going. So set ... Unknown localization key: "more"
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The Practical Guide to HR Analytics - Lindsay McFarlane, Valerie Streets, Shonna D. Waters PhD, Rachael Johnson-Murra
The need for HR professionals to understand and apply data analytics is greater than ever. Today’s successful HR professionals must ask insightful questions, understand key terms, and intelligently apply data, but may lack a clear understanding of the many forms, types, applications, interpretations, and capabilities of HR analytics.HR Analytics provides a practical approach to using data to solve real HR challenges in organizations and demystifies analytics with clear guidelines and recommendations for making the business case, starting an HR analytics function, avoiding common pitfalls, presenting data through visualization and storytelling, and much more.
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Painting with Monet - Harmon Siegel
A major reassessment of the methods and meaning of impressionismAt pivotal moments in his career, Claude Monet would go out with a fellow artist, plant his easel beside his friend’s, and paint the same scene. Painting with Monet closely examines pairs of such works, showing how attention to this practice raises tantalizing new questions about Monet’s art and about impressionism as a movement.Is impressionist painting an objective attempt to capture reality as it really is? Or is it a subjective expression of the artist’s unique way of perceiving things? How can artists create a movement without conformity extinguishing individuality? Harmon Siegel reveals how Monet explored problems like these in concrete, practical ways while painting alongside his teachers, Eugène Boudin and Johan Barthold Jongkind; his friends, Frédéric Bazille and Pierre-Auguste Renoir; and his hero, Édouard Manet. At a time of major cultural upheavals, these artists asked how we can know reality beyond our personal perception. Siegel provides new insights into the aesthetic, philosophical, and ethical stakes for these painters as they responded to a rapidly changing society.Beautifully illustrated, Painting with Monet sheds critical light on how Monet and his fellow impressionists, painting side by side, professed their capacity to know the ... Unknown localization key: "more"
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Stupid TV, Be More Funny - Alan Siegel
This comprehensive account of the meteoric rise of The Simpsons combines incisive pop culture criticism and interviews with the show''s creative team that take readers inside the making of an American phenomenon during its most influential decade, the 1990s.The Simpsons is an American institution. But its status as an occasionally sharp yet ultimately safe sitcom that''s still going after 33 years on the air undercuts its revolutionary origins. The early years of the animated series didn''t just impact Hollywood, they changed popular culture. It wasn''t a watercooler show; it was a show that altered the way we talked around the watercooler, in school hallways, and on the campaign trail, by bridging generations with its comedic sensibility and prescient cultural commentary.In STUPID TV, BE MORE FUNNY, writer Alan Siegel reveals how the first decade of the show laid the groundwork for the series'' true influence. He explores how the show''s rise from 1990 to 1998 intertwined with the supposedly ascendent post-Cold War America, turning Fox into the juggernaut we know today, simultaneously shaking its head at America''s culture wars while finding itself in the middle of them. By packing the book with anecdotes from icons like Conan O''Brien and Yeardley Smith, ... Unknown localization key: "more"
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Secret History of Food - Matt Siegel
An irreverent, surprising, and entirely entertaining look at the little-known culinary history surrounding the foods we know and loveIs Italian olive oil really Italian, or are we dipping our bread in lamp oil? Why are we masochistically drawn to foods that can hurt us, like hot peppers? Far from being a classic American dish, is apple pie actually . . . English?As a species, were hardwired to obsess over food, Matt Siegel explains as he sets out to uncover the hidden side of everything we put in our mouths. Siegel also probes subjects ranging from the mythsand realitiesof food as aphrodisiac, to how one of the rarest and most exotic spices in all the world (vanilla) became a synonym for uninspired sexual proclivities, to the role of food in fairy- and morality tales. This revealing book of funny nonfiction even makes a well-argued case for how ice cream helped defeat the Nazis.The Secret History of Food is a rich and satisfying exploration of the historical, cultural, scientific, sexual, and, yes, culinary subcultures of this most essential realm. Siegel is an armchair Anthony Bourdain, armed not with a chefs knife but with knowledge derived from medieval food-related manuscripts, ancient Chinese scrolls, ... Unknown localization key: "more"
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Digital Analytics for Marketing - A. Karim Feroz, Marshall Sponder, Gohar F. Khan
This second edition of Digital Analytics for Marketing provides students with a comprehensive overview of the tools needed to measure digital activity and implement best practices when using data to inform marketing strategy. It is the first text of its kind to introduce students to analytics platforms from a practical marketing perspective.Demonstrating how to integrate large amounts of data from web, digital, social, and search platforms, this helpful guide offers actionable insights into data analysis, explaining how to "connect the dots" and "humanize" information to make effective marketing decisions. The authors cover timely topics, such as social media, web analytics, marketing analytics challenges, and dashboards, helping students to make sense of business measurement challenges, extract insights, and take effective actions. The bookÂ’s experiential approach, combined with chapter objectives, summaries, and review questions, will engage readers, deepening their learning by helping them to think outside the box.Filled with engaging, interactive exercises and interesting insights from industry experts, this book will appeal to undergraduate and postgraduate students of digital marketing, online marketing, and analytics.Online support materials for this book include an instructorÂ’s manual, test bank, and PowerPoint slides.
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Transformations - Elaine V. Siegel
In recent years, memories and reconstructions of incestuous child abuse have become common features of psychoanalytic treatment. Among some clinicians, such abuse is suspected even when there is little evidence. How does the analyst distinguish between incest real and imagined, and how do recovered memories of incest affect the analyst?In this poignant and beautifully written study, Elaine Siegel brings new insights to bear on these timely questions. An inveterate note taker, she discloses the countertransferential ruminations and associations to the occurrence of incest at various stages during the treatment process over the course of 30 years of clinical work. The manner in which her "analytic instrument" evolved and was shaped by her analysands'' stories makes for a fascinating subtext in a book that addresses itself to the differences and similarities during treatment of real and imagined incestuous abuse. Among the powrfully disturbing clinical cases at the heart of this study are two reports detailing the lengthy analyses of women who found corroboration for multigenerational incest. Siegel also presents two cases in which patients retracted their claims of incest toward the end of their treatments. Through the medium of these and other reports, Siegel explores how psychoanalysts are struggling both to ... Unknown localization key: "more"
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Data Analytics Applications in Gaming and Entertainment
The last decade has witnessed the rise of big data in game development as the increasing proliferation of Internet-enabled gaming devices has made it easier than ever before to collect large amounts of player-related data. At the same time, the emergence of new business models and the diversification of the player base have exposed a broader potential audience, which attaches great importance to being able to tailor game experiences to a wide range of preferences and skill levels. This, in turn, has led to a growing interest in data mining techniques, as they offer new opportunities for deriving actionable insights to inform game design, to ensure customer satisfaction, to maximize revenues, and to drive technical innovation. By now, data mining and analytics have become vital components of game development. The amount of work being done in this area nowadays makes this an ideal time to put together a book on this subject.Data Analytics Applications in Gaming and Entertainment seeks to provide a cross section of current data analytics applications in game production. It is intended as a companion for practitioners, academic researchers, and students seeking knowledge on the latest practices in game data mining. The chapters have been chosen in ... Unknown localization key: "more"
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Lean Analytics - Alistair Croll, Benjamin Yoskovitz
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
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Business Analytics - James Abdey
Analytical skills are in high demand but short supply. Through a unique combination of data visualisation and analytics (both theoretical and applied), this ground-breaking textbook provides you with the expertise to analyse, interpret and communicate data with confidence, to inform real-world decision-making. Key features include: • Clear signalling of introductory, intermediate and advanced content • An entire chapter dedicated to data visualisation, introducing Tableau for storytelling with data • Motivational cases throughout showing how the theory relates to real life • A wide variety of end-of-chapter exercises to test your understanding of the topics covered • Online examples and datasets to help you master your analytics skills through hands-on learning Lecturers also have  access a range of online resources developed to support teaching, including a Teaching Guide, solutions to end-of-chapter exercises, PowerPoints and a testbank. Business Analytics: Applied Modelling and Prediction is suitable for undergraduate and postgraduate students of Business Analytics. Dr James Abdey is an Associate Professor (Education) in Statistics at The London School of Economics and Political Science (LSE).
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Business Analytics, Cengage International Edition - Michael Frye, James Cochran, Jeffrey Camm, Jeffrey Ohlmann
Develop the analytical skills that are in high demand in businesses today with Camm/Cochran/Fry/Ohlmann''s best-selling BUSINESS ANALYTICS, CENGAGE INTERNATIONAL EDITION 5E. You master the full range of analytics as you strengthen descriptive, predictive and prescriptive analytic skills. Real examples and memorable visuals clearly illustrate data and results. Step-by-step instructions guide you through using Excel, Tableau, R or the Python-based Orange data mining software to perform advanced analytics. Practical, relevant problems at all levels of difficulty let you apply what you''ve learned. Updates throughout this edition address topics beyond traditional quantitative concepts, such as data wrangling, data visualization and data mining, which are increasingly important in today''s business environment. MindTap and WebAssign online learning platforms are also available with an interactive eBook, algorithmic practice problems and Exploring Analytics visualizations to strengthen your understanding of key concepts.
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Annual Predictive Techniques of the Greek, Arabic and Indian Astrologers - Martin Gansten
Predictions for each year of life go back to the earliest times of Hellenistic astrology. Elaborated by Persian and Arabic astrologers who emphasized the revolution of the nativity, known today as the solar return chart, annual predictive techniques then spread eastward into India and westward into Latin Europe during the Middle Ages. For the first time, this book draws together material on annual predictions from ancient and medieval authors writing in Greek, Arabic and Sanskrit, demonstrating their methods with a wealth of present-day example charts. While covering historical background and principles of interpretation, Annual Predictive Techniques is above all a manual of practical astrology, a guide to concrete prediction intended for intermediate students. Separate chapters are devoted to illustrating the use of primary directions and profections together with anniversary transits. The reader is then shown how to integrate these techniques step by step with the solar return chart. The final chapter discusses ways of subdividing a year and identifying times of major importance.
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The Predictive Edge - Alejandro Lopez-Lira
Use ChatGPT to improve your analysis of stock markets and securities In The Predictive Edge: Outsmart the Market Using Generative AI and ChatGPT in Financial Forecasting, renowned AI and finance researcher Dr. Alejandro Lopez-Lira delivers an engaging and insightful new take on how to use large language models (LLMs) like ChatGPT to find new investment opportunities and make better trading decisions. In the book, you’ll learn how to interpret the outputs of LLMs to craft sounder trading strategies and incorporate market sentiment into your analyses of individual securities. In addition to a complete and accessible explanation of how ChatGPT and other LLMs work, you’ll find: Discussions of future trends in artificial intelligence and financeStrategies for implementing new and soon-to-come AI tools into your investing strategies and processesTechniques for analyzing market sentiment using ChatGPT and other AI toolsA can’t-miss playbook for taking advantage of the full potential of the latest AI advancements, The Predictive Edge is a fully to-date and exciting exploration of the intersection of tech and finance. It will earn a place on the bookshelves of individual and professional investors everywhere.
Objev podobné jako The Predictive Edge - Alejandro Lopez-Lira
Model Predictive Control - Carlos Bordons, Jose M. Maestre, Eduardo F. Camacho
Model Predictive Control (MPC), the classic textbook for students and practitioners seeking deep understanding of advanced control systems, is now revised, updated and reorganized in a streamlined third edition. The authors, renowned researchers in the field, cover an extensive range of topics that embraces the basic and the advanced, the theoretical and the applied.The book offers advanced undergraduate and graduate students an accessible, step-by-step approach that enables them progressively to grasp and apply the concepts they are studying. For instructors, this is an invaluable curriculum resource packed with examples and case studies. The text features material on:commercial MPC: convolution models, transfer functions, state-space models, and constraints;advanced topics: robust and stochastic MPC and MPC for nonlinear, hybrid, large-scale, and distributed systems; andapplications: a series of case studies in solar energy generation, hospital stock control, copper mining and aviation; along withexercises to help readers assess their progress, many with full or partial solutions in a solutions manual downloadable by adopting instructors.MATLAB® programs to assist with the design aspects of the book and with reproducing some of the examples are included.Model Predictive Control (third edition)’s distinctive strength is its real-world relevance. It is an essential tool for future engineers; its focus on practical ... Unknown localization key: "more"
Objev podobné jako Model Predictive Control - Carlos Bordons, Jose M. Maestre, Eduardo F. Camacho
Peace, Love And Healing - Dr Bernie Siegel
Full of inspiring stories of patients who have achieved remissions and miraculous cures for illnesses such as mulitple sclerosis and cancer, Dr Siegel shows us how emotions such as love, hope, joy and peace of mind have strong physiological effects on each of us, as do depression and dispair. Peace, Love and Healing teaches us to be receptive to the messages our mind gives our body through dreams and symbols, and how to view illness as a ''reset button'' enabling us to redirect our lives. Equally importantly the book explains how to give your body healing messages therough the use of meditation, visualization and relaxation. Although the important role of modern medicine is recognised, Bernie Siegel offers us many examples and case studies of the remarkable results that we can achieve through body-mind communication and reiterates his essential point - that love heals.
Objev podobné jako Peace, Love And Healing - Dr Bernie Siegel
The Yes Brain Child - Dr. Daniel J Siegel, Ph.D. Tina Payne Bryson
FROM THE BESTSELLING PARENTING EXPERTS BEHIND THE WHOLE-BRAIN CHILD COMES A HIGHLY SUCCESSFUL PLAN FOR HELPING YOUR CHILD BECOME MORE INDEPENDENT AND RESILIENT. ‘This unique book shows us how to help our children embrace life with all of its challenges. It’s a treasure chest of parenting insights and techniques’ CAROL DWECK, bestselling author of Mindset Children can often act out or shut down when faced with a setback or a tricky issue like homework, food or screen time. This is what acclaimed parenting experts Dr Siegel and Dr Bryson call the ‘No Brain’ response. But you can help your child develop the ability to cope, solve their own problems and thrive by nurturing their ‘Yes Brain’. Drawing on their successful work with thousands of parents and children from all backgrounds, Dr Siegel and Dr Bryson provide the advice, tools and activities to help parents with children of all ages.This is what the ‘Yes Brain’ approach looks like in action: *A 5-year-old boy thinks about his first day at school and says, ‘I’m nervous but I’ll give it a try.’ *An 8 year-old girl says, ‘I’d like to join the football team, even though none of my friends like football.’ *A ... Unknown localization key: "more"
Objev podobné jako The Yes Brain Child - Dr. Daniel J Siegel, Ph.D. Tina Payne Bryson
The Miracles Among Us - Dr. Marc Siegel
#1 New York Times Bestseller #1 Publishers Weekly Bestseller From Fox News Senior Medical Analyst and Clinical Professor of Medicine at NYU Langone Health, Dr. Marc Siegel, comes a collection of powerful, true-life stories of healing, faith, and surprise, complete with a beautiful prayer guide inside. Almost everything a doctor sees can be explained scientifically. Almost. Drawing from his extensive experience as a physician, Dr. Marc Siegel explores the profound and often mysterious intersection between faith and medicine. He shares riveting stories of patients who have experienced remarkable recoveries, challenging the boundaries of medical science. These narratives highlight not only the resilience of the human body, but also the inexplicable moments when intuition and foresight play a crucial role in healing. Doctors see more than just patients who are cured against all odds. From a rabbi who somehow knew a carpenter's infant son had a heart problem, to an NFL player's amazing survival from a rare kind of cardiac arrest, these stories bolster the belief there is a higher power at work. The Miracles Among Us reminds us that God’s love has the capacity to surprise us even in our darkest moments. Whether you are a healthcare professional, a patient, ... Unknown localization key: "more"
Objev podobné jako The Miracles Among Us - Dr. Marc Siegel
The Spider's Syndicate of Crime - Siegel Jerry, E. George Cowan, Reg Bunn
Enter The Spider – comics’ lost Golden Age supervillain from the co-creator of Superman, Jerri Siegel!Equipped with a razor-sharp mind, superb athletic ability and a vast array of cutting edge gadgets, The Spider has his sights set on taking over the New York underworld and establishing a ''Syndicate of Crime''.Join the menacing Spider on his earliest adventures, recruiting other fiends into his fledging empire and seeing off competition from other villainous foes, including the master of illusion, Mirror Man!Featuring the fully remastered hyperdetailed black and white artwork of Reg Bunn, this volume presents many of the super-crook''s exciting 1960s adventures which featured the most popular British comic book villain and sprang from the imagination of Superman co-creator, Jerry Siegel.
Objev podobné jako The Spider's Syndicate of Crime - Siegel Jerry, E. George Cowan, Reg Bunn
Google Analytics (978-80-271-0338-6)
Elektronická kniha - autor Jan Brunec, 144 stran Google Analytics je bezplatný nástroj, který umožňuje správcům a majitelům webových stránek získat velmi přesná data o chování návštěvníků měřeného webu. Díky němu se například dozví, odkud návštěvník přišel, které stránky navštívil, jaké provedl kroky k tomu, aby se stal zákazníkem. Všechny tyto informace představují pro provozovatele webu skutečný poklad, který lze efektivně využít pro zvýšení jeho výkonnosti i potenciálních zisků. Kniha vás postupně provede všemi aspekty práce s Google Analytics: od správné implementace měřicího kódu přes vyhodnocení naměřených výsledků, návrh vhodných úprav webových stránek až po pokročilé tipy a triky, které dovedou vaše měření k dokonalosti. Ať již provozujete rozsáhlý e-shop, nebo jen malé webové stránky, Google Analytics pro vás bude představovat neocenitelného pomocníka.
Objev podobné jako Google Analytics (978-80-271-0338-6)
People Analytics For Dummies - Mike West
Maximize performance with better data Developing a successful workforce requires more than a gut check. Data can help guide your decisions on everything from where to seat a team to optimizing production processes to engaging with your employees in ways that ring true to them. People analytics is the study of your number one business asset—your people—and this book shows you how to collect data, analyze that data, and then apply your findings to create a happier and more engaged workforce. Start a people analytics projectWork with qualitative dataCollect data via communications Find the right tools and approach for analyzing data If your organization is ready to better understand why high performers leave, why one department has more personnel issues than another, and why employees violate, People Analytics For Dummies makes it easier.Â
Objev podobné jako People Analytics For Dummies - Mike West
Applied Marketing Analytics Using R - Gokhan Yildirim, Raoul V. Kubler
Marketing has become increasingly data-driven in recent years as a result of new emerging technologies such as AI, granular data availability and ever-growing analytics tools. With this trend only set to continue, it’s vital for marketers today to be comfortable in their use of data and quantitative approaches and have a thorough grounding in understanding and using marketing analytics in order to gain insights, support strategic decision-making, solve marketing problems, maximise value and achieve success. Taking a very hands-on approach with the use of real-world datasets, case studies and R (a free statistical package), this book supports students and practitioners to explore a range of marketing phenomena using various applied analytics tools, with a balanced mix of technical coverage alongside marketing theory and frameworks. Chapters include learning objectives, figures, tables and questions to help facilitate learning. Supporting online resources are available to instructors to support teaching, including datasets and software codes and solutions (R Markdowns, HTML files) as well as PowerPoint slides, a teaching guide and a testbank. This book is essential reading for advanced level marketing students and marketing practitioners who want to become cutting-edge marketers. Dr. Gokhan Yildirim is an Associate Professor of Marketing at Imperial College Business ... Unknown localization key: "more"
Objev podobné jako Applied Marketing Analytics Using R - Gokhan Yildirim, Raoul V. Kubler
Web Analytics 2.0 - Avinash Kaushik
Adeptly address today's business challenges with this powerful new book from web analytics thought leader Avinash Kaushik. Web Analytics 2. 0 presents a new framework that will permanently change how you think about analytics.
Objev podobné jako Web Analytics 2.0 - Avinash Kaushik
Clapton Eric: A Songbook With Friends - LP (4260494435542)
LP vinyl - Eric Clapton - A Songbook With Friends / limitovaná edice Eric Clapton - A Songbook With Friends / limitovaná edice - Limited / 1 x Marbled 180g Vinyl Obsah: A A1. Little Red Rooster - Eric Clapton with Howlin' Wolf A2. Evil Hearted You - Eric Clapton with The Yardbirds A3. Layla - Eric Gales with Derek Trucks A4. Putty In Your Hands - Eric Clapton with The Yardbirds A5. Wonderful Tonight - Otis Clay A6. Highway 49 - Eric Clapton with Howlin' Wolf B2. Tears In Heaven - Ann Peebles B3. Jeff's Blues - Eric Clapton with Jeff Beck B4. Old Love - Otis Rush B5. Talkin'About You - Eric Clapton with The Yardbirds B6. Crossroads - David 'Honeyboy' Edwards with James Cotton
Objev podobné jako Clapton Eric: A Songbook With Friends - LP (4260494435542)
Clapton Eric & Jimmy Page: Guitar Legends - LP (4260053472933)
LP vinyl - Eric Clapton & Jimmy Page kytarové legendy na tomto LP. Eric Clapton & Jimmy Page kytarové legendy na tomto LP. Seznam stop LP 1 Strana A / Draggin' My Tail / Snake Drive / West Coast Idea / Choker / Miles Road / Tribute To Elmore / Freight Loader / Boom Boom (Eric Clapton) / Talkin' About You (Eric Clapton) / LP 1 Strana B / Wang-Dang-Doodle / Putty In Your Hands (Eric Clapton) / Little Red Rooster (Eric Clapton) / Highway 49 / I Got Love, If You Want It (Eric Clapton) / You Can't Judge A Book By The Cover (Eric Clapton) / Stormy Monday Blues (Eric Clapton)
Objev podobné jako Clapton Eric & Jimmy Page: Guitar Legends - LP (4260053472933)
Embedded Analytics - Donald Farmer, Jim Horbury
The adoption of data analytics has remained remarkably static - perhaps reaching no more than thirty percent of potential users. This book explores the most important techniques for taking that adoption further: embedding analytics into the workflow of our everyday operations.
Objev podobné jako Embedded Analytics - Donald Farmer, Jim Horbury
Application Development with SAP Analytics Cloud - Josef Hampp
Ready to make the most of your SAP Analytics Cloud applications? Learn to develop, deploy, and monitor custom analytical applications with this practical scripting guide! Follow step-by-step instructions and programming examples for each stage of development. Customize your dashboards and applications with widgets and APIs, and then adapt them to the needs of your users, whether youÂ’re developing planning or business intelligence applications. This is your complete handbook to scripting in SAP Analytics Cloud!Highlights include:1) Architecture2) Data modeling and connectivity3) Development environment4) Scripts and wizards5) BI applications6) Planning applications7) Dashboards8) Predictive analytics9) Standard and custom widgets10) APIs 11) Stories12) JavaScript
Objev podobné jako Application Development with SAP Analytics Cloud - Josef Hampp
A Hands-on Introduction to Big Data Analytics - Funmi Obembe, Ofer Engel
This practical textbook offers a hands-on introduction to big data analytics, helping you to develop the skills required to hit the ground running as a data professional. It complements theoretical foundations with an emphasis on the application of big data analytics, illustrated by real-life examples and datasets. Containing comprehensive coverage of all the key topics in this area, this book uses open-source technologies and examples in Python and Apache Spark. Learning features include:  - Ethics by Design encourages you to consider data ethics at every stage.  - Industry Insights facilitate a deeper understanding of the link between what you are studying and how it is applied in industry.  - Datasets, questions, and exercises give you the opportunity to apply your learning. Dr Funmi Obembe is the Head of Technology at the Faculty of Arts, Science and Technology, University of Northampton. Dr Ofer Engel is a Data Scientist at the University of Groningen.
Objev podobné jako A Hands-on Introduction to Big Data Analytics - Funmi Obembe, Ofer Engel
Product Analytics - Joanne Rodrigues
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, ... Unknown localization key: "more"
Objev podobné jako Product Analytics - Joanne Rodrigues
Data Analytics for Internal Auditors - Richard E. Cascarino
There are many webinars and training courses on Data Analytics for Internal Auditors, but no handbook written from the practitioner’s viewpoint covering not only the need and the theory, but a practical hands-on approach to conducting Data Analytics. The spread of IT systems makes it necessary that auditors as well as management have the ability to examine high volumes of data and transactions to determine patterns and trends. The increasing need to continuously monitor and audit IT systems has created an imperative for the effective use of appropriate data mining tools. This book takes an auditor from a zero base to an ability to professionally analyze corporate data seeking anomalies.
Objev podobné jako Data Analytics for Internal Auditors - Richard E. Cascarino
Data Analytics for Business - Wolfgang Garn
We are drowning in data but are starved for knowledge. Data Analytics is the discipline of extracting actionable insights by structuring, processing, analysing and visualising data using methods and software tools. Hence, we gain knowledge by understanding the data. A roadmap to achieve this is encapsulated in the knowledge discovery in databases (KDD) process. Databases help us store data in a structured way. The structure query language (SQL) allows us to gain first insights about business opportunities. Visualising the data using business intelligence tools and data science languages deepens our understanding of the key performance indicators and business characteristics. This can be used to create relevant classification and prediction models; for instance, to provide customers with the appropriate products or predict the eruption time of geysers. Machine learning algorithms help us in this endeavour. Moreover, we can create new classes using unsupervised learning methods, which can be used to define new market segments or group customers with similar characteristics. Finally, artificial intelligence allows us to reason under uncertainty and find optimal solutions for business challenges. All these topics are covered in this book with a hands-on process, which means we use numerous examples to introduce the concepts and several software ... Unknown localization key: "more"
Objev podobné jako Data Analytics for Business - Wolfgang Garn
Supply Chain and Operations Analytics - Anindita Maitra Bhattacharyya, Rabindranath Bhattacharya
This book presents concepts, strategies, and decision-making processes of supply chain and operations management through simple to advanced analytics. It provides the tools necessary to comprehend supply chain and operations management, quantitatively and analytically, through exercises and examples. Using accessible quantitative models, this volume provides a unified framework for supply chain analytics for products?right from sourcing to manufacturing to delivery and remanufacturing, which closes the supply chain. This book synthesizes a collection of models in all the areas of supply chain like Sourcing, Inventory, Production planning and control, forecasting of demand, Transportation, Network planning and Design, Data aggregation and mining and return of products in the context of both formulation and solution of the problems in each area using suitable software and Excel Solver for the ease of understanding. Use of simulation, stochastic and system design models are added attractions of the book.This book will be useful to the students, researchers and faculty working in the field of Supply chain Management, Operations Management, and Industrial Engineering, both at Graduate and research levels. It will also be an invaluable companion to consultants and practitioners, working with models and modelling systems, helping them make better supply chain decisions.
Objev podobné jako Supply Chain and Operations Analytics - Anindita Maitra Bhattacharyya, Rabindranath Bhattacharya
Modeling Operations Research and Business Analytics - Fox-Pitt William, Robert E. Burks
This book provides sample exercises, techniques, and solutions to employ mathematical modeling to solve problems in Operations Research and Business Analytics. Each chapter begins with a scenario and includes exercises built on realistic problems faced by managers and others working in operations research, business analytics, and other fields employing applied mathematics. A set of assumptions is presented, and then a model is formulated. A solution is offered, followed by examples of how that model can be used to address related issues.Key elements of this book include the most common problems the authors have encountered over research and while consulting the fields including inventory theory, facilities'' location, linear and integer programming, assignment, transportation and shipping, critical path, dynamic programming, queuing models, simulation models, reliability of system, multi-attribute decision-making, and game theory.In the hands of an experienced professional, mathematical modeling can be a powerful tool. This book presents situations and models to help both professionals and students learn to employ these techniques to improve outcomes and to make addressing real business problems easier. The book is essential for all managers and others who would use mathematics to improve their problem-solving techniques.No previous exposure to mathematical modeling is required. The book can then ... Unknown localization key: "more"
Objev podobné jako Modeling Operations Research and Business Analytics - Fox-Pitt William, Robert E. Burks
The Financial Times Guide to Data-Driven Transformation: How to drive substantial business value with data analytics - Andrea De Mauro, Michele Pacifi
This is the book that helps managers maximise the business value brought by data to their organisation. Are you eager to unlock the power of data in your organization? In the Financial Times Guide to Data Driven Transformation, Andrea De Mauro and Michele Pacifico provide a comprehensive roadmap for leaders aiming to harness the full potential of data analytics. This guide is designed for top executives, data leaders, and practitioners who are seeking to drive substantial business value and navigate the complex landscape of digital transformation. The book covers key strategies for building data-driven cultures, developing analytics roadmaps, and leveraging artificial intelligence to support decision-making. Through practical insights and real-world examples, the authors show how businesses can unlock value from their data assets, streamline operations, and gain a competitive advantage. Whether you''re at the early stages of your data journey or looking to enhance existing capabilities, this guide offers the tools you need to succeed. Drawing from the extensive experience of both authors, this book is more than a theoretical guide; it''s a hands-on, actionable resource tailored for professionals who want to make data an integral part of their company’s strategy and operational excellence.
Objev podobné jako The Financial Times Guide to Data-Driven Transformation: How to drive substantial business value with data analytics - Andrea De Mauro, Michele Pacifi