Ata Driven Decision Making Using Analytics
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Data Driven Decision Making using Analytics
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 using Analytics
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: Advanced Techniques in Healthcare and Business Analytics
Author: Krishna prasath Sivaraj Dr Arpit Jain
language: en
Publisher: DeepMisti Publication
Release Date: 2025-02-02
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