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Innovation Analytics: Tools For Competitive Advantage

Author: Nachiappan Subramanian

Publisher: World Scientific

Published: 2023-02-24

Total Pages: 324

ISBN-13: 178634999X

Innovation analytics is an emerging paradigm that integrates information/knowledge, analytics, digital twins and artificial intelligence to support and manage the entire lifecycle of a product and process from inception, through engineering design and manufacture, to service and disposal of manufactured products. Innovation analytics is set to become an integral part of the innovation lifecycle to help make smart, agile decisions and accelerate business growth.Innovation Analytics: Tools for Competitive Advantage provides a comprehensive overview of the challenges and opportunities behind the latest research surrounding technological advances driving innovation analytics; the transition of analytical ideas to interdisciplinary teams; the development of deep synchronicity of skills and production innovation; and the use of innovation analytics in multiple stages of product and process evolution.In exploring the impact of emerging developments in the current climate, researchers and academics will be able to gain insight into real-world usage of analytics for innovation and its contribution toward society. As such, students, scientists, engineers, academics, and management professionals alike will find this title beneficial.

Competing in the Age of AI

Author: Marco Iansiti

Publisher: Harvard Business Press

Published: 2020-01-07

Total Pages: 175

ISBN-13: 1633697630

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"a provocative new book" — The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI.

Competing on Analytics

Author: Thomas H. Davenport

Publisher: Harvard Business Press

Published: 2007

Total Pages: 243

ISBN-13: 1422103323

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"In Competing on Analytics: The New Science of Winning, Thomas H. Davenport and Jeanne G. Harris argue that the frontier for using data has shifted dramatically. Leading companies are doing more than just collecting and storing information in large quantities. They're now building their competitive strategies around data-driven insights that are, in turn, generating impressive business results. Their secret weapon? Analytics: sophisticated quantitative and statistical analysis and predictive modeling supported by data-savvy senior leaders and powerful information technology."--Jacket.

Intelligent Techniques for Predictive Data Analytics

Author: Neha Singh

Publisher: John Wiley & Sons

Published: 2024-06-21

Total Pages: 276

ISBN-13: 1394227973

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Comprehensive resource covering tools and techniques used for predictive analytics with practical applications across various industries Intelligent Techniques for Predictive Data Analytics provides an in-depth introduction of the tools and techniques used for predictive analytics, covering applications in cyber security, network security, data mining, and machine learning across various industries. Each chapter offers a brief introduction on the subject to make the text accessible regardless of background knowledge. Readers will gain a clear understanding of how to use data processing, classification, and analysis to support strategic decisions, such as optimizing marketing strategies and customer relationship management and recommendation systems, improving general business operations, and predicting occurrence of chronic diseases for better patient management. Traditional data analytics uses dashboards to illustrate trends and outliers, but with large data sets, this process is labor-intensive and time-consuming. This book provides everything readers need to save time by performing deep, efficient analysis without human bias and time constraints. A section on current challenges in the field is also included. Intelligent Techniques for Predictive Data Analytics covers sample topics such as: Models to choose from in predictive modeling, including classification, clustering, forecast, outlier, and time series models Price forecasting, quality optimization, and insect and disease plant and monitoring in agriculture Fraud detection and prevention, credit scoring, financial planning, and customer analytics Big data in smart grids, smart grid analytics, and predictive smart grid quality monitoring, maintenance, and load forecasting Management of uncertainty in predictive data analytics and probable future developments in the field Intelligent Techniques for Predictive Data Analytics is an essential resource on the subject for professionals and researchers working in data science or data management seeking to understand the different models of predictive analytics, along with graduate students studying data science courses and professionals and academics new to the field.

Big Data, Big Innovation

Author: Evan Stubbs

Publisher: John Wiley & Sons

Published: 2014-07-21

Total Pages: 256

ISBN-13: 111872464X

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A practical guide to leveraging your data to spur innovation and growth Your business generates reams of data, but what do you do with it? Reporting is only the beginning. Your data holds the key to innovation and growth – you just need the proper analytics. In Big Data, Big Innovation: Enabling Competitive Differentiation Through Business Analytics, author Evan Stubbs explores the potential gold hiding in your un-mined data. As Chief Analytics Officer for SAS Australia/New Zealand, Stubbs brings an industry insider's perspective to guide you through pattern recognition, analysis, and implementation. Big Data, Big Innovation: Enabling Competitive Differentiation Through Business Analytics details a groundbreaking approach to ensuring your company's upward trajectory. Use this guide to leverage your customer information, financial reports, performance metrics, and more to build a rock-solid foundation for future growth. Build an effective analytics team, and empower them with the right tools Learn how big data drives both evolutionary and revolutionary innovation, and who should be responsible Identify data collection and analysis opportunities and implement action plans Design the platform that suits your company's current and future needs Quantify performance with statistics, programming, and research for a more complete picture of operations Effective management means combining data, people, and analytics to create a synergistic force for innovation and growth. If you want your company to move forward with confidence, Big Data, Big Innovation: Enabling Competitive Differentiation Through Business Analytics can show you how to use what you already have and acquire what you need to succeed.

Leadership, Innovation and Entrepreneurship as Driving Forces of the Global Economy

Author: Rachid Benlamri

Publisher: Springer

Published: 2016-12-01

Total Pages: 815

ISBN-13: 3319434349

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This volume aims to outline the fundamental principles behind leadership, innovation and entrepreneurship and show how the interrelations between them promote business and trade practices in the global economy. Derived from the 2016 International Conference on Leadership, Innovation, and Entrepreneurship (ICLIE), this volume showcases original papers presenting current research, discoveries and innovations across disciplines such as business, social sciences, engineering, health sciences and medicine. The pace of globalization is increasing at a rapid rate and is primarily driven by increasing volume of trade, accelerating pace of competition among nations, freer flows of capital and increased level of cooperation among trading partners. Leadership, innovation, and entrepreneurship are key driving forces in enhancing this phenomenon and are among the major catalysts for contemporary businesses trading in the global economy. This conference and the enclosed papers provides a platform in which to disseminate and exchange ideas to promote a better understanding of current issues and solutions to challenges in the globalized economy in relation to the fields of entrepreneurship, business and economics, technology management, and Islamic finance and management. Thus, the theories, research, innovations, methods and practices presented in this book will be of use to researchers, practitioners, student and policy makers across the globe.

Debates in Information Technology:

Author: Amy J. Connolly

Publisher: Informing Science

Published: 2015

Total Pages: 363

ISBN-13: 1681100002

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The purpose of this book is to highlight major debates in Information Technology (“IT”) that might be of interest to fledgling MIS students to help them get a sense of the big ideas in their field. This book is intended for graduate and undergraduate audiences but is easily accessible to practitioners and students alike. Each big idea is presented as a resolution for discussion, one per chapter, and each chapter opens with a broad overview of the resolution, followed by pro and con discussions weighing the merits of the issue. These informative chapters should help students quickly get up to speed on the facts of the issue in order to stimulate more fruitful class discussion. Chapters were authored and reviewed entirely by graduate students as part of an online class project spanning two semesters from 2013 to 2014. Over 80 students contributed to writing it. Faculty editorship enhanced the chapters’ consistency and where necessary, smoothed the writing style. As a whole, this work embodies an important achievement for which these students should be commended. It shows (once again) just how capable students really are.

Crossing the Next Regional Frontier: Information and Analytics Linking Regional Competitiveness to Investment in a Knowledge-Based Economy

Author:

Publisher: IBRC

Published:

Total Pages: 283

ISBN-13:

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Leveraging Constraints for Innovation

Author: Sebastian Gurtner

Publisher: John Wiley & Sons

Published: 2018-08-29

Total Pages: 208

ISBN-13: 1119390281

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Provides managers with actionable insight into a select set of innovation constraints and how to best deal with them This PDMA Essentials Book, the third in this series, provides a framework of individual, organizational, and market and societal constraints that guides managers in identifying specific constraints related to their innovation activities and provides them with corresponding tools and practices to overcome and leverage those constraints. Written by a team of international innovation experts, Leveraging Constraints for Innovation: New Product Development Essentials from the PDMA is presented in three parts. The first part, Individual Constraints, provides insights into how to: simultaneously solve social and commercial needs for greater creativity; apply a multi-stage approach to overcome knowledge sharing in teams; and anticipate and account for psychographic differences among customers during product launch. In the second part, Organizational Constraints, insights emerge that provide guidance on how to: identify and solve for sources of innovation constraints within the company; implement and manage virtual NPD teams; and effectively organize new service development in professional services. The last part, Market Constraints, examines how to: adapt firm capabilities to overcome constraints preventing consumers in low-end and under-resourced markets from purchasing new products; implement inclusive innovation strategies to address markets constrained by underdeveloped infrastructures; develop solutions for women and other disadvantaged market traders in emerging markets. This book: Is a single comprehensive volume that covers the full spectrum of constraint-related strategies and techniques in a coherent, integrated fashion Provides a set of frameworks, techniques, and tools that can be immediately implemented by individuals across firms Offers how-to knowledge on specific tools and methods as applied to innovating products and services when facing constraints as well as for the development of new business models Integrates problem- and solution-based knowledge to enable companies to develop sustainable growth strategies by leveraging constraints and restrictions toward innovation strategies, processes and offerings Leveraging Constraints for Innovation: New Product Development Essentials from the PDMA is an ideal book for all product development professionals, including marketers, engineers, project managers, and business managers in both startups and well-established firms, and from a broad range of industries from heavy manufacturing to the service sector.

The New Know

Author: Thornton May

Publisher: John Wiley & Sons

Published: 2009-08-28

Total Pages: 264

ISBN-13: 0470561947

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Learn to manage and grow successful analytical teams within your business Examining analytics-one of the hottest business topics today-The New KNOW argues that analytics is needed by all enterprises in order to be successful. Until now, enterprises have been required to know what happened in the past, but in today's environment, your organization is expected to have a good knowledge of what happens next. This innovative book covers Where analytics live in the enterprise The value of analytics Relationships betwixt and between Technologies of analytics Markets and marketers of analytics The New KNOW is a timely, essential resource to staying competitive in your field.