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Data-Based Decision Making and Digital Transformation

2018-05-31 Business & Economics
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Release : 2018-05-31
Genre : Business & Economics
Kind : eBook
Book Rating : 593/5 ( reviews)

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Book Synopsis Data-Based Decision Making and Digital Transformation by : Daniel J. Power

Download or read book Data-Based Decision Making and Digital Transformation written by Daniel J. Power. This book was released on 2018-05-31. Available in PDF, EPUB and Kindle. Book excerpt: Digital disruption is accelerating. Implementing a successful digital transformation strategy requires that senior managers make trade-off decisions to reinvent a business. Equally important all decision makers must learn to ask the right questions, use data and computer support in decision making, and increase their knowledge and skills. Creating a data-centric culture and rewarding data-based decision making leads to successful digital transformation. Join the digital journey. This book is targeted at managers, especially middle-level managers who are trying to come to grips with using data-based decision making in a transforming organization. The authors explore a number of broad questions including: How can managers become data-based decision makers? How can digital transformation become part of an organi­zational strategy? What new skills do managers need to implement digital transformation? How will we know an organization has been successfully transformed?

Data-Driven Decision Making for Long-Term Business Success

2023-12-21 Business & Economics
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Release : 2023-12-21
Genre : Business & Economics
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Data-Driven Decision Making for Long-Term Business Success by : Singh, Sonia

Download or read book Data-Driven Decision Making for Long-Term Business Success written by Singh, Sonia. This book was released on 2023-12-21. Available in PDF, EPUB and Kindle. Book excerpt: In today's academic environment, the challenge of ensuring lasting commercial and economic success for organizations has become more daunting than ever before. The relentless surge in data-driven decision-making, based on innovative technologies such as blockchain, IoT, and AI, has created a digital frontier filled with complexity. Maintaining a healthy firm that can continually provide innovative products and services to the public while fueling economic growth has become a formidable puzzle. Moreover, this digital transformation has ushered in new risks, from pervasive cybersecurity threats to the ethical challenges surrounding artificial intelligence. In this evolving landscape, academic scholars face the pressing challenge of deciphering the path to long-term organizational prosperity in an era dominated by data. Data-Driven Decision Making for Long-Term Business Success serves as guidance and insights amidst this academic challenge. It is the definitive solution for scholars seeking to uncover the complexities of data-driven decision-making and its profound impact on organizational success. Each meticulously curated chapter delves into a specific facet of this transformative journey, from the implications of modern technologies and pricing optimization to the ethics underpinning data-driven strategies and the metaverse's influence on decision-making.

Digital Analytics

2024-07-19 Education
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Release : 2024-07-19
Genre : Education
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Digital Analytics by : Jumin Kamki

Download or read book Digital Analytics written by Jumin Kamki. This book was released on 2024-07-19. Available in PDF, EPUB and Kindle. Book excerpt: Digital Analytics: Data Driven Decision Making in Digital World

Data-Driven Decision-Making for Business

2024-08-22 Business & Economics
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Release : 2024-08-22
Genre : Business & Economics
Kind : eBook
Book Rating : 332/5 ( reviews)

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Book Synopsis Data-Driven Decision-Making for Business by : Claus Grand Bang

Download or read book Data-Driven Decision-Making for Business written by Claus Grand Bang. This book was released on 2024-08-22. Available in PDF, EPUB and Kindle. Book excerpt: Research shows that companies that employ data-driven decision-making are more productive, have a higher market value, and deliver higher returns for their shareholders. In this book, the reader will discover the history, theory, and practice of data-driven decision-making, learning how organizations and individual managers alike can utilize its methods to avoid cognitive biases and improve confidence in their decisions. It argues that value does not come from data, but from acting on data. Throughout the book, the reader will examine how to convert data to value through data-driven decision-making, as well as how to create a strong foundation for such decision-making within organizations. Covering topics such as strategy, culture, analysis, and ethics, the text uses a collection of diverse and up-to-date case studies to convey insights which can be developed into future action. Simultaneously, the text works to bridge the gap between data specialists and businesspeople. Clear learning outcomes and chapter summaries ensure that key points are highlighted, enabling lecturers to easily align the text to their curriculums. Data-Driven Decision-Making for Business provides important reading for undergraduate and postgraduate students of business and data analytics programs, as well as wider MBA classes. Chapters can also be used on a standalone basis, turning the book into a key reference work for students graduating into practitioners. The book is supported by online resources, including PowerPoint slides for each chapter.

Data Driven Decision Making using Analytics

2021-12-16 Computers
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Release : 2021-12-16
Genre : Computers
Kind : eBook
Book Rating : 436/5 ( reviews)

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Book Synopsis Data Driven Decision Making using Analytics by : Parul Gandhi

Download or read book Data Driven Decision Making using Analytics written by Parul Gandhi. This book was released on 2021-12-16. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to explain Data Analytics towards decision making in terms of models and algorithms, theoretical concepts, applications, experiments in relevant domains or focused on specific issues. It explores the concepts of database technology, machine learning, knowledge-based system, high performance computing, information retrieval, finding patterns hidden in large datasets and data visualization. Also, it presents various paradigms including pattern mining, clustering, classification, and data analysis. Overall aim is to provide technical solutions in the field of data analytics and data mining. Features: Covers descriptive statistics with respect to predictive analytics and business analytics. Discusses different data analytics platforms for real-time applications. Explain SMART business models. Includes algorithms in data sciences alongwith automated methods and models. Explores varied challenges encountered by researchers and businesses in the realm of real-time analytics. This book aims at researchers and graduate students in data analytics, data sciences, data mining, and signal processing.

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