Deep Data Analytics For New Product Development
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Deep Data Analytics For New Product Development
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Author : Walter R. Paczkowski
language : en
Publisher: Routledge
Release Date : 2020-02-19
Deep Data Analytics For New Product Development written by Walter R. Paczkowski and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-19 with Business & Economics categories.
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.
Predictive And Simulation Analytics
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Author : Walter R. Paczkowski
language : en
Publisher: Springer Nature
Release Date : 2023-07-18
Predictive And Simulation Analytics written by Walter R. Paczkowski and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-18 with Business & Economics categories.
This book connects predictive analytics and simulation analytics, with the end goal of providing Rich Information to stakeholders in complex systems to direct data-driven decisions. Readers will explore methods for extracting information from data, work with simple and complex systems, and meld multiple forms of analytics for a more nuanced understanding of data science. The methods can be readily applied to business problems such as demand measurement and forecasting, predictive modeling, pricing analytics including elasticity estimation, customer satisfaction assessment, market research, new product development, and more. The book includes Python examples in Jupyter notebooks, available at the book's affiliated Github. This volume is intended for current and aspiring business data analysts, data scientists, and market research professionals, in both the private and public sectors.
Deep Data Analytics For New Product Development
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Author : Walter R. Paczkowski
language : en
Publisher: Routledge
Release Date : 2020-02-19
Deep Data Analytics For New Product Development written by Walter R. Paczkowski and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-19 with Business & Economics categories.
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.
Business Analytics
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Author : Walter R. Paczkowski
language : en
Publisher: Springer Nature
Release Date : 2022-01-03
Business Analytics written by Walter R. Paczkowski and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-03 with Business & Economics categories.
This book focuses on three core knowledge requirements for effective and thorough data analysis for solving business problems. These are a foundational understanding of: 1. statistical, econometric, and machine learning techniques; 2. data handling capabilities; 3. at least one programming language. Practical in orientation, the volume offers illustrative case studies throughout and examples using Python in the context of Jupyter notebooks. Covered topics include demand measurement and forecasting, predictive modeling, pricing analytics, customer satisfaction assessment, market and advertising research, and new product development and research. This volume will be useful to business data analysts, data scientists, and market research professionals, as well as aspiring practitioners in business data analytics. It can also be used in colleges and universities offering courses and certifications in business data analytics, data science, and market research.
Modern Survey Analysis
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Author : Walter R. Paczkowski
language : en
Publisher: Springer Nature
Release Date : 2022-09-11
Modern Survey Analysis written by Walter R. Paczkowski and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-11 with Business & Economics categories.
This book develops survey data analysis tools in Python, to create and analyze cross-tab tables and data visuals, weight data, perform hypothesis tests, and handle special survey questions such as Check-all-that-Apply. In addition, the basics of Bayesian data analysis and its Python implementation are presented. Since surveys are widely used as the primary method to collect data, and ultimately information, on attitudes, interests, and opinions of customers and constituents, these tools are vital for private or public sector policy decisions. As a compact volume, this book uses case studies to illustrate methods of analysis essential for those who work with survey data in either sector. It focuses on two overarching objectives: Demonstrate how to extract actionable, insightful, and useful information from survey data; and Introduce Python and Pandas for analyzing survey data.
Business Challenge And Solve Business Analyst
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Author : Praveshofficial
language : en
Publisher: Blue Rose Publishers
Release Date : 2022-09-30
Business Challenge And Solve Business Analyst written by Praveshofficial and has been published by Blue Rose Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-30 with Business & Economics categories.
Business challenge and solve business analyst business regarding
Hands On Prescriptive Analytics
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Author : Walter R. Paczkowski
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2024-10-17
Hands On Prescriptive Analytics written by Walter R. Paczkowski and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-17 with Business & Economics categories.
Business decisions in any context—operational, tactical, or strategic—can have considerable consequences. Whether the outcome is positive and rewarding or negative and damaging to the business, its employees, and stakeholders is unknown when action is approved. These decisions are usually made under the proverbial cloud of uncertainty. With this practical guide, data analysts, data scientists, and business analysts will learn why and how maximizing positive consequences and minimizing negative ones requires three forms of rich information: Descriptive analytics explores the results from an action—what has already happened. Predictive analytics focuses on what could happen. The third, prescriptive analytics, informs us what should happen in the future. While all three are important for decision-makers, the primary focus of this book is on the third: prescriptive analytics. Author Walter R. Paczkowski, Ph.D. shows you: The distinction among descriptive, predictive, and prescriptive analytics How predictive analytics produces a menu of action options How prescriptive analytics narrows the menu of action options The forms of prescriptive analytics: eight prescriptive methods Two broad classes of these methods: non-stochastic and stochastic How to develop prescriptive analyses for action recommendations Ways to use an appropriate tool-set in Python
Intelligent Systems And Iot Applications In Clinical Health
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Author : Joshi, Herat
language : en
Publisher: IGI Global
Release Date : 2024-11-01
Intelligent Systems And Iot Applications In Clinical Health written by Joshi, Herat and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-01 with Medical categories.
Integrating intelligent systems and internet of things (IoT) into clinical health is crucial for enhancing patient care and operational efficiency. These technologies enable real-time data collection and analysis, facilitating personalized treatment plans and improving diagnostic accuracy. Together innovations can streamline workflows, reduce costs, and ultimately lead to better health outcomes for patients. It is essential to explore how these technologies can be implemented into healthcare. Intelligent Systems and IoT Applications in Clinical Health explores and elucidates the integration of AI, IoT, and blockchain technologies in healthcare. It advances current research by providing comprehensive insights into how these technologies can be leveraged to enhance patient care, improve operational efficiency, and ensure data security. Covering topics such as clinical healthcare, digital health experience, and monitoring systems, this book is an excellent resource for researchers, academicians, medical professionals, medical administrators, educators, graduate and postgraduate students, and more.
The Data Driven Product Manager A Blueprint 2025
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Author : Naga Srirama Narasimha Raviteja Malladi, Prof SumanYadav
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
The Data Driven Product Manager A Blueprint 2025 written by Naga Srirama Narasimha Raviteja Malladi, Prof SumanYadav and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
PREFACE In today’s rapidly evolving business landscape, the role of a product manager is more critical—and more complex—than ever before. “The Data-Driven Product Manager: A Blueprint” was born out of the recognition that intuition and experience, while valuable, can only take you so far. To truly excel in product management, one must harness the power of data to drive decision-making, fuel innovation, and ultimately deliver products that resonate with customers and succeed in the market. This book is designed as a comprehensive guide for product managers who are eager to integrate data-driven strategies into every facet of their work. Whether you are a seasoned professional looking to refine your approach or a newcomer seeking a structured path into the world of product management, this blueprint provides the tools, techniques, and insights necessary to transform raw data into actionable intelligence. Throughout the chapters, you will encounter practical frameworks and real-world examples that illustrate how data can be seamlessly integrated into product lifecycle management. From initial market research and customer segmentation to product launch and post-launch analysis, each section is crafted to offer a step-by-step roadmap for developing and scaling products in a competitive market. One of the key themes of this book is the transformation of data from a mere byproduct of operations into a strategic asset. In doing so, it addresses common obstacles such as data quality issues, integration challenges, and the cultural shift required within organizations to embrace analytics as a core component of the product management process. We offer actionable advice on building data infrastructure, fostering cross-functional collaboration, and cultivating a mindset that values experimentation and continuous improvement. The decision to write this book was fueled by the growing recognition that data-driven product management is not just a trend but a fundamental shift in how products are conceptualized, built, and refined. In an era where customer expectations are constantly evolving and market conditions can change overnight, the ability to adapt quickly using insights derived from data is no longer optional—it is essential for survival and success. I invite you to embark on this journey with an open mind and a readiness to challenge conventional practices. As you progress through the chapters, my hope is that you will find not only practical strategies and technical guidance but also inspiration to innovate boldly and lead confidently. Let this blueprint serve as both a reference and a catalyst for your growth as a data-driven product manager, empowering you to make informed decisions that drive real impact. Welcome to the future of product management. Welcome to a world where data lights the way forward. Authors
What To Do When Machines Do Everything
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Author : Malcolm Frank
language : en
Publisher: John Wiley & Sons
Release Date : 2017-01-18
What To Do When Machines Do Everything written by Malcolm Frank and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-18 with Business & Economics categories.
“Refreshingly thought-provoking...” – The Financial Times The essential playbook for the future of your business What To Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on Artificial Intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans it raises profound questions on the future of work and how companies compete. Illustrated with real-world cases, data, and insight, the authors provide clear strategic guidance and actionable steps to help you and your organization move ahead in a world where exponentially developing new technologies are changing how value is created. Written by a team of business and technology expert practitioners—who also authored Code Halos: How the Digital Lives of People, Things, and Organizations are Changing the Rules of Business—this book provides a clear path to the future of your work. The first part of the book examines the once in a generation upheaval most every organization will soon face as systems of intelligence go mainstream. The authors argue that contrary to the doom and gloom that surrounds much of IT and business at the moment, we are in fact on the cusp of the biggest wave of opportunity creation since the Industrial Revolution. Next, the authors detail a clear-cut business model to help leaders take part in this coming boom; the AHEAD model outlines five strategic initiatives—Automate, Halos, Enhance, Abundance, and Discovery—that are central to competing in the next phase of global business by driving new levels of efficiency, customer intimacy and innovation. Business leaders today have two options: be swallowed up by the ongoing technological evolution, or ride the crest of the wave to new profits and better business. This book shows you how to avoid your own extinction event, and will help you; Understand the untold full extent of technology's impact on the way we work and live. Find out where we're headed, and how soon the future will arrive Leverage the new emerging paradigm into a sustainable business advantage Adopt a strategic model for winning in the new economy The digital world is already transforming how we work, live, and shop, how we are governed and entertained, and how we manage our money, health, security, and relationships. Don't let your business—or your career—get left behind. What To Do When Machines Do Everything is your strategic roadmap to a future full of possibility and success. Or peril.