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Business Analytics Data Driven Decision Making


Business Analytics Data Driven Decision Making
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Business Analytics Data Driven Decision Making


Business Analytics Data Driven Decision Making
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Author :
language : en
Publisher: Cybellium
Release Date :

Business Analytics Data Driven Decision Making written by and has been published by Cybellium this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.


Welcome to the forefront of knowledge with Cybellium, your trusted partner in mastering the cutting-edge fields of IT, Artificial Intelligence, Cyber Security, Business, Economics and Science. Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com



Business Analytics Volume I


Business Analytics Volume I
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Author : Amar Sahay
language : en
Publisher: Business Expert Press
Release Date : 2018-08-23

Business Analytics Volume I written by Amar Sahay and has been published by Business Expert Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-23 with Business & Economics categories.


Business Analytics: A Data-Driven Decision Making Approach for Business-Part I,/i> provides an overview of business analytics (BA), business intelligence (BI), and the role and importance of these in the modern business decision-making. The book discusses all these areas along with three main analytics categories: (1) descriptive, (2) predictive, and (3) prescriptive analytics with their tools and applications in business. This volume focuses on descriptive analytics that involves the use of descriptive and visual or graphical methods, numerical methods, as well as data analysis tools, big data applications, and the use of data dashboards to understand business performance. The highlights of this volume are: Business analytics at a glance; Business intelligence (BI), data analytics; Data, data types, descriptive analytics; Data visualization tools; Data visualization with big data; Descriptive analytics-numerical methods; Case analysis with computer applications.



Business Analytics


Business Analytics
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Author : U. Dinesh Kumar
language : en
Publisher:
Release Date : 2017

Business Analytics written by U. Dinesh Kumar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Business logistics categories.


Written with the aim of becoming the primary resource for students of business analytics, this book provides a holistic perspective of analytics with theoretical foundations and applications of the theory using examples across several industries.



Data Driven Decision Making Using Analytics


Data Driven Decision Making Using Analytics
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Author : Parul Gandhi
language : en
Publisher: CRC Press
Release Date : 2021-12-16

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 2021-12-16 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.



Business Analytics Using Python


Business Analytics Using Python
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Author : Kumar P
language : en
Publisher: Independently Published
Release Date : 2024-11-20

Business Analytics Using Python written by Kumar P and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-20 with Computers categories.


In today's fast-paced and data-driven world, businesses are increasingly relying on data to guide their strategies, optimize operations, and stay ahead of the competition. From customer behavior to market trends, every facet of a business generates vast amounts of data-data that holds the key to better decision-making, enhanced performance, and greater profitability. However, unlocking the potential of this data requires more than just access to it; it requires the tools, techniques, and frameworks that allow us to analyze, interpret, and act on the insights it provides. This book, Business Analytics using Python: Practical Approaches to Data-Driven Decision Making, is designed to provide you with the knowledge and practical skills necessary to leverage the power of data in business contexts. Whether you are a business analyst, data scientist, or business manager, this book aims to equip you with a solid foundation in business analytics using Python, one of the most powerful and widely used open-source programming languages for statistical analysis and data science. Python has become an indispensable tool in the world of analytics. Its flexibility, vast library of packages, and user-friendly environment make it ideal for analyzing and visualizing data, building predictive models, and uncovering trends that drive business success. In this book, we will guide you through the fundamentals of Python, as well as advanced techniques in business analytics, with a focus on solving real-world business problems. In addition to the theoretical underpinnings of business analytics, the book is packed with hands-on examples, practical exercises, and case studies that demonstrate how these concepts are applied in real-world business scenarios. Whether you are trying to optimize marketing campaigns, improve sales forecasts, or understand customer behavior, the tools and techniques you will learn in this book will help you derive actionable insights from your data. Who Should Read This Book? This book is aimed at anyone interested in applying business analytics to solve real-world problems using Python. It is ideal for: Business Analysts: Who want to enhance their analytical skills and learn how to use Python for solving business problems. Data Scientists: Who are looking to expand their knowledge in business contexts and understand how to apply advanced analytics in a business environment. Managers and Decision Makers: Who want to understand how data-driven insights can inform strategic business decisions. Students and Beginners: Who are learning business analytics, data science, or related fields and want a practical guide to applying analytics using Python. This book is structured to cater to both beginners and more advanced users. Each chapter begins with a conceptual introduction to the topic, followed by practical, hands-on examples using Python. You will find step-by-step instructions, along with clear explanations of the code and the business implications of the results. Whether you are working through the chapters in order or focusing on specific topics, you will gain the skills necessary to apply business analytics in your organization. So, let's dive in and begin unlocking the true potential of your business data with Python!



Data Driven Decision Making Advanced Techniques In Healthcare And Business Analytics


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



Business Analytics Essentials A Foundation For Data Driven Decision Making


Business Analytics Essentials A Foundation For Data Driven Decision Making
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Author : Dr. Krishna Pandurang Thorat MD (Ayurveda) PhD
language : en
Publisher: Notion Press
Release Date : 2025-10-18

Business Analytics Essentials A Foundation For Data Driven Decision Making written by Dr. Krishna Pandurang Thorat MD (Ayurveda) PhD and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-18 with Education categories.


The book Business Analytics Essentials: A Foundation for Data-Driven Decision Making' introduces key analytics concepts like foundations and types of analytics, data visualization, machine learning, and ethical way of handling data. Through real-world case studies, practical insights, and industry-informed content, the book bridges academic foundations with business applications covering diverse sectors like finance, healthcare, retail and much more.



Data Driven Decision Making For Long Term Business Success


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.



Business Analytics Essentials


Business Analytics Essentials
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Author : Dr Lakshmi Shankar Iyer
language : en
Publisher: Notion Press
Release Date : 2025-08-08

Business Analytics Essentials written by Dr Lakshmi Shankar Iyer and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-08 with Education categories.


The book Business Analytics Essentials: A Foundation for Data-Driven Decision Making' introduces key analytics concepts like foundations and types of analytics, data visualization, machine learning, and ethical way of handling data. Through real-world case studies, practical insights, and industry-informed content, the book bridges academic foundations with business applications covering diverse sectors like finance, healthcare, retail and much more.



Digital Analytics


Digital Analytics
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Author : Jumin Kamki
language : en
Publisher:
Release Date : 2016

Digital Analytics written by Jumin Kamki and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.