Data Driven Decision Making Using Analytics
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Data Driven Decision Making Using Analytics
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Author : Parul Gandhi
language : en
Publisher: CRC Press
Release Date : 2021-12-21
Data Driven Decision Making Using Analytics written by Parul Gandhi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-21 with Computers categories.
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.
Data Driven Decision Making
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Author : Aadinath Pothuvaal
language : en
Publisher: Educohack Press
Release Date : 2025-02-20
Data Driven Decision Making written by Aadinath Pothuvaal and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Computers categories.
"Data-Driven Decision Making" explores the dynamic world of analytics, technology, and strategic decision-making. Authored by leading experts, this comprehensive guide serves as a beacon for individuals and organizations navigating the evolving landscape of data-driven decisions. We delve into harnessing data's power to inform and transform decisions across various domains. Through an interdisciplinary lens, the book integrates philosophy, technology, and real-world applications, guiding readers toward making informed, strategic choices in an era of data abundance. Key features include foundational principles, cutting-edge technologies, practical applications, ethical considerations, and global perspectives. Readers gain insights into AI, machine learning, advanced analytics, and data visualization. Real-world case studies illustrate how organizations leverage data for competitive advantage and innovation. Ethical dimensions are addressed, focusing on privacy, bias, and responsible use of emerging technologies. The book also provides actionable strategies for implementing data-driven approaches, optimizing decision support systems, and fostering a data-driven culture. "Data-Driven Decision Making" equips readers with knowledge and tools to navigate the intricate intersection of data, technology, and strategy.
Data Driven Decision Making
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Author : Jeanne Poulose
language : en
Publisher: Springer Nature
Release Date : 2024-07-27
Data Driven Decision Making written by Jeanne Poulose and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-27 with Business & Economics categories.
This book delves into contemporary business analytics techniques across sectors for critical decision-making. It combines data, mathematical and statistical models, and information technology to present alternatives for decision evaluation. Offering systematic mechanisms, it explores business contexts, factors, and relationships to foster competitiveness. Beyond managerial perspectives, it includes contributions from professionals, academics, and scholars worldwide, delivering comprehensive knowledge and skills through diverse viewpoints, cases, and applications of analytical tools. As an international business science reference, it targets professionals, academics, researchers, doctoral scholars, postgraduate students, and research organizations seeking a nuanced understanding of modern business analytics.
Data Driven Decisions How Startups Use Analytics To Stay Agile
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Author : Ahmed Musa
language : en
Publisher: Recorded Books
Release Date : 2024-12-31
Data Driven Decisions How Startups Use Analytics To Stay Agile written by Ahmed Musa and has been published by Recorded Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-31 with Business & Economics categories.
In today’s fast-paced world, data is a key asset for startups looking to stay competitive. This book explores how to collect, analyze, and act on data to make informed decisions and pivot quickly in response to market changes. From tracking customer behavior to optimizing operations, this guide provides actionable insights for using data to drive growth and innovation.
Data Driven Decision Making Advanced Techniques In Healthcare And Business Analytics
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Author : Krishna prasath Sivaraj Dr Arpit Jain
language : en
Publisher: DeepMisti Publication
Release Date : 2025-02-02
Data Driven Decision Making Advanced Techniques In Healthcare And Business Analytics written by Krishna prasath Sivaraj Dr Arpit Jain and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-02 with Computers categories.
In today’s data-driven world, decisions are no longer based on intuition alone. Organizations in healthcare and business are increasingly leveraging advanced analytics to extract meaningful insights, optimize operations, and create value. The ability to make data-driven decisions has become a defining factor in achieving success, fostering innovation, and navigating complex challenges. Data-Driven Decision Making: Advanced Techniques in Healthcare and Business Analytics is a comprehensive guide to mastering the tools, methods, and strategies that empower professionals to transform raw data into actionable knowledge. This book explores the critical intersection of analytics and decision-making, offering readers the expertise needed to thrive in data-intensive environments. Key themes covered include: • The foundations of data-driven decision-making and its role in strategic planning. • Advanced analytics techniques, such as predictive modeling, machine learning, and real- time data processing. • Practical applications in healthcare, including patient outcome prediction, resource allocation, and personalized medicine. • Use cases in business, such as customer segmentation, financial forecasting, and operational optimization. • Ethical considerations, data governance, and strategies for ensuring compliance with evolving regulations. This book is designed for healthcare professionals, business leaders, data scientists, and analysts who seek to harness the power of data for impactful decision-making. Whether you are solving problems in healthcare delivery or driving business growth, the methodologies presented here will equip you to make informed, evidence-based decisions. The journey to mastering data-driven decision-making is both a technical and strategic endeavor. Through this book, we aim to inspire you to unlock the full potential of analytics, delivering better outcomes for your organization and the people it serves. Let this guide be your companion as you explore the transformative power of advanced analytics in healthcare and business. Authors
Data Science For Decision Makers
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Author : Erik Herman
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2024-12-31
Data Science For Decision Makers written by Erik Herman and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-31 with Computers categories.
Data Science for Decision Makers is an essential guide for executives, managers, entrepreneurs, and anyone seeking to harness the power of data to drive business success. In today's fast-paced and increasingly digital world, the ability to make informed decisions based on data-driven insights is vital. This book serves as a bridge between the complex world of data science and the strategic decision-making process, providing readers with the knowledge and tools they need to leverage data effectively. With a clear focus on practical application, this book demystifies key concepts in data science, from data collection and analysis to predictive modeling and visualization. Via real-world examples, case studies, and actionable insights, readers will learn how to extract insights from data and translate them into actionable strategies that drive organizational growth. Written in a reader-friendly manner, this book caters to both novice and experienced professionals alike. Whether you're a seasoned executive looking to sharpen your strategic acumen or a manager seeking to enhance your team's data literacy, this essential reference provides the necessary foundation to navigate the complex landscape of data science with confidence.
Decision Support Systems V Big Data Analytics For Decision Making
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Author : Boris Delibašić
language : en
Publisher: Springer
Release Date : 2015-05-18
Decision Support Systems V Big Data Analytics For Decision Making written by Boris Delibašić and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-18 with Computers categories.
This book constitutes the refereed proceedings of the First International Conference on Decision Support Systems Technology, ICDSST 2015, held in Belgrade, Serbia, in May 2015. The theme of the event was “Big Data Analytics for Decision-Making” and it was organized by the EURO (Association of European Operational Research Societies) working group of Decision Support Systems (EWG-DSS). The eight papers presented in this book were selected out of 26 submissions after being carefully reviewed by at least three internationally known experts from the ICDSST 2015 Program Committee and external invited reviewers. The selected papers are representative of current and relevant research activities in the area of decision support systems, such as decision analysis for enterprise systems and non-hierarchical networks, integrated solutions for decision support and knowledge management in distributed environments, decision support system evaluations and analysis through social networks, and decision support system applications in real-world environments. The volume is completed by an additional invited paper on big data decision-making use cases.
Data Driven Decision Making For Long Term Business Success
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Author : Singh, Sonia
language : en
Publisher: IGI Global
Release Date : 2023-12-21
Data Driven Decision Making For Long Term Business Success written by Singh, Sonia and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-21 with Business & Economics categories.
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.
Decision Making With Data
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Author : Ravi Deshpande
language : en
Publisher: Educohack Press
Release Date : 2025-02-20
Decision Making With Data written by Ravi Deshpande and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Business & Economics categories.
"Decision Making with Data" is an insightful guide to leveraging data for informed and impactful business decisions. This book unpacks the essential concepts of data-driven decision-making, illustrating how to use data effectively and why it is vital for business success. In a world where smart decisions define business outcomes, we empower readers with practical techniques to make well-informed, data-backed choices. We cover everything from understanding quantitative and qualitative data to exploring real-world applications in fields like e-commerce, finance, and transportation. Each chapter is packed with strategies, examples, and exercises designed to deepen your data-driven decision-making skills. Readers will find practical insights on technology solutions such as data warehouses, business intelligence tools, and customer data platforms, along with best practices for fostering data literacy within organizations. We also delve into specialized sectors like education, offering frameworks for effective data use in school settings, and cover analytics methods from descriptive to predictive analytics. "Decision Making with Data" is an essential resource for anyone looking to sharpen their decision-making skills through the power of data, aiming to drive innovation, efficiency, and success.
Data Driven Decision Making For Business
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Author : Claus Grand Bang
language : en
Publisher: Taylor & Francis
Release Date : 2024-08-22
Data Driven Decision Making For Business written by Claus Grand Bang and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-22 with Business & Economics categories.
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.