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Author: Daniel J. Power
Publisher: Business Expert Press
ISBN: 1631576593
Category : Business & Economics
Languages : en
Pages : 106
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Book Description
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?
Author: Daniel J. Power
Publisher: Business Expert Press
ISBN: 1631576593
Category : Business & Economics
Languages : en
Pages : 106
Get Book
Book Description
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?
Author: Singh, Sonia
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 515
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Book Description
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.
Author: Jumin Kamki
Publisher:
ISBN: 9781946556196
Category :
Languages : en
Pages :
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Book Description
Author: Erik Beulen
Publisher: Taylor & Francis
ISBN: 1003807356
Category : Business & Economics
Languages : en
Pages : 243
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Book Description
Understanding the significance of data analytics is paramount for digital transformation but in many organizations they are separate units without fully aligned goals. As organizations are applying digital transformations to be adaptive and agile in a competitive environment, data analytics can play a critical role in their success. This book explores the crossroads between them and how to leverage their connection for improved business outcomes. The need to collaborate and share data is becoming an integral part of digital transformation. This not only creates new opportunities but also requires well-considered and continuously assessed decision-making as competitiveness is at stake. This book details approaches, concepts, and frameworks, as well as actionable insights and good practices, including combined data management and agile concepts. Critical issues are discussed such as data quality and data governance, as well as compliance, privacy, and ethics. It also offers insights into how both private and public organizations can innovate and keep up with growing data volumes and increasing technological developments in the short, mid, and long term. This book will be of direct appeal to global researchers and students across a range of business disciplines, including technology and innovation management, organizational studies, and strategic management. It is also relevant for policy makers, regulators, and executives of private and public organizations looking to implement successful transformation policies.
Author: Peter Jackson
Publisher: John Wiley & Sons
ISBN: 1119543150
Category : Mathematics
Languages : en
Pages : 294
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Book Description
OPTIMIZE YOUR BUSINESS DATA FOR FIRST-CLASS RESULTS Data Driven Business Transformation illustrates how to find the secrets to fast adaptation and disruptive origination hidden in your data and how to use them to capture market share. Digitalisation – or the Digital Revolution – was the first step in an evolving process of analysis and improvement in the operations and administration of commerce. The popular author team of Caroline Carruthers and Peter Jackson, two global leaders in data transformation and education, pick up the conversation here at the next evolutionary step where data from these digital systems generates value, and really use data science to produce tangible results. Optimise the performance of your company through data-driven processes by: Following step-by-step guidance for transitioning your company in the real world to run on a data-enabled business model Mastering a versatile set of data principles powerful enough to produce transformative results at any stage of a business’s development Winning over the hearts of your employees and influencing a cultural shift to a data-enabled business Reading first-hand stories from today’s thought leaders who are shaping data transformation at their companies Enable your company’s data to lift profits with Data Driven Business Transformation.
Author: Karen L. Webber
Publisher: Johns Hopkins University Press
ISBN: 1421439034
Category : Education
Languages : en
Pages : 337
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Book Description
Webber, Henry Y. Zheng, Ying Zhou
Author: Jorge Marx Gómez
Publisher: Springer Nature
ISBN: 3031154207
Category : Business & Economics
Languages : en
Pages : 599
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Book Description
This book presents case studies to analyse the relationship between sustainability – environmental, social, institutional and economic – and digital innovation. The respective contributions offer a contextualisation of the main present and future trends concerning these two elements, and present analyses from economic, technical, managerial, and social perspectives alike. The individual sections of the book focus on interactions between sustainability and digital innovation in existing organisations and highlight the new opportunities, challenges and threats that may emerge as a result. The contributions are mainly based on case studies and research conducted in Europe and Africa, with a few focusing on Southeast Asia and Central America, and were prepared by experts in the fields of Information Systems, Computer Science, Social Development, and Economics.
Author: Hamed Taherdoost
Publisher: CRC Press
ISBN: 1040033695
Category : Computers
Languages : en
Pages : 426
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Book Description
In a world undergoing rapid technological evolution, this is your indispensable guide to thriving in the digital age. Digital Transformation Roadmap: From Vision to Execution offers a comprehensive exploration of the Fourth Industrial Revolution by presenting a roadmap for leveraging technology to revolutionize businesses, strategy, and innovation. Embark on a journey that unveils the dynamic interplay between technology and business. Discover the evolution of tech life cycles, the significance of digital transformation, and the key domains of change reshaping industries. Explore strategies to gain competitive advantage, from reimagining business models to aligning digital visions with organizational goals. Experience a holistic approach to digital transformation. Learn how to empower employees, foster a culture of innovation, and navigate change adeptly. Delve into the world of emerging technologies such as AI, IoT, and blockchain, and harness their potential to open new avenues for growth. From cybersecurity roadmaps to measuring system performance, uncover essential practices to ensure the resilience and success of digital initiatives. Master the art of delivering exceptional digital customer experiences and harnessing the value of data. Whether you’re a business leader, strategist, or tech enthusiast, this book equips you with actionable insights, practical strategies, and a forward-thinking mindset to drive change and thrive in the digital landscape.
Author: Mark Schrutt
Publisher: ECW Press
ISBN: 1773057022
Category : Business & Economics
Languages : en
Pages : 307
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Book Description
Digital transformation expert Mark Schrutt reveals how the world’s top companies are using vast amounts of data to inform their decisions, disrupt industries, and get closer to their customers. Businesses that continue to rely only on intuition do so at their peril. What if you had the data you always wanted and could tell what was truly an emerging trend that would forever change your industry? Shifting the Balance analyzes the turn towards data-driven decision-making and describes how best-in-class organizations use data to shift their field of vision so it is forward-looking instead of reactive. Case studies with practical examples of how leading businesses address key challenges on the path to becoming data-driven include: • How companies such as Hewlett-Packard and Land O’Lakes, whose industries are defined by resellers, are connecting directly with their customers to improve satisfaction and relevancy • How data-driven decision-making shaped the largest one-sided deal in sports, paying the owners of a team that did not play a game for 40 years over $800 million • How companies such as Peloton and UberEats are using data-driven decision-making to disrupt and reimagine the fitness and restaurant industries • What professional sports franchises such as the Oakland A’s, Philadelphia Eagles, and Toronto Maple Leafs can teach us about using data in game-changing business decisions Shifting the Balance offers a roadmap that will enable organizations to make better business decisions that drive even better results, and provides a fascinating read along the way.
Author: Parul Gandhi
Publisher: CRC Press
ISBN: 1000506436
Category : Computers
Languages : en
Pages : 150
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Book Description
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.
