Data-Driven Decision Making for Long-Term Business Success » książka
Data-Driven Decision Making for Long-Term Business Success
ISBN-13: 9798369321935 / Angielski / Twarda / 2023 / 350 str.
Data-Driven Decision Making for Long-Term Business Success
ISBN-13: 9798369321935 / Angielski / Twarda / 2023 / 350 str.
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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. Aspiring academic scholars and researchers will find this series to be a treasure trove of evidence-based analysis and methodologically sound research. It bridges the gap between academic rigor and real-world application, offering fresh perspectives and invaluable insights that can guide organizations toward sustainable growth in the digital age. By exploring the chapters within this series, readers will not only be able to comprehend the challenges faced by data-driven decision-making, but also discover innovative approaches and solutions to navigate this dynamic landscape.
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. Aspiring academic scholars and researchers will find this series to be a treasure trove of evidence-based analysis and methodologically sound research. It bridges the gap between academic rigor and real-world application, offering fresh perspectives and invaluable insights that can guide organizations toward sustainable growth in the digital age. By exploring the chapters within this series, readers will not only be able to comprehend the challenges faced by data-driven decision-making, but also discover innovative approaches and solutions to navigate this dynamic landscape.
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