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"Business Decision making Data processing."
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The data driven leader : a powerful approach to delivering measurable business impact through people analytics
\"This book presents a clear, accessible guide to solving important leadership challenges through human resources-focused and other data analytics. This engaging book shows you how to transform the HR function and overall organizational effectiveness by using data to make decisions grounded in facts vs. opinions, identify root causes behind your company's thorniest problems and move toward a winning, future-focused business strategy. Realistic and actionable, this book tells the story of a successful sales executive who, after leading an analytics-driven turnaround (in Data Driven, this book's predecessor), faces a new turnaround challenge as chief human resources officer. Each chapter features insightful commentary and practical notes on the points the story raises, guiding you to put HR analytics into action in your organization\"-- Provided by publisher.
Weaving analytics for effective decision making
by
Banerjee, Arindam
,
Banerjee, Tanushri
in
Business
,
Business & Management Skills
,
Business -- Decision making -- Data processing
2017
Weaving Analytics for Effective Decision Making helps managers unleash the power of analytics. It provides a roadmap for implementing analytics and securing a high return on investment for the organization. The book is meant primarily for decision makers, business leaders and business problem solvers who are engaged in decision-making roles in organizations. Several books have established the need for analytics in decision making; this book moves one step ahead and explains how managers can maximize the benefits of analytics in organizations. It spells out the sequence business managers should adopt towards building business intelligence-driven organizations.
Data science for decision makers : enhance your leadership skills with data science and AI expertise
by
Howells, Jon, author
in
Decision making Data processing.
,
Artificial intelligence.
,
Business and Management.
2024
As data science and artificial intelligence (AI) become prevalent across industries, executives without formal education in statistics and machine learning, as well as data scientists moving into leadership roles, must learn how to make informed decisions about complex models and manage data teams. This book will elevate your leadership skills by guiding you through the core concepts of data science and AI. This comprehensive guide is designed to bridge the gap between business needs and technical solutions, empowering you to make informed decisions and drive measurable value within your organization. Through practical examples and clear explanations, you'll learn how to collect and analyze structured and unstructured data, build a strong foundation in statistics and machine learning, and evaluate models confidently.
Data envelopment analysis and its applications to management
by
Mukesh Kumar (Telecom service employee)
,
Charles, Vincent
in
Business
,
Business -- Decision making -- Data processing
,
Data envelopment analysis
2012,2013
Data envelopment analysis (DEA), a non-parametric technique, has emerged as a popular management tool for measuring the performance of a set of entities, known as decision making units. This book, Data Envelopment Analysis and Its Applications to Management, is a collection of contributions from DEA experts from various countries. It covers a wide range of research papers from the theoretical development of DEA to its applications in various sectors such as economy, banking, education, revenue management, sports, branch networks, cities, and live stock production systems. The book is useful for researchers as well as practitioners who intend to apply DEA to their strategic and managerial decisions.
Emerging capabilities and applications of artificial higher order neural networks
\"This book explores the emerging capabilities and applications of artificial higher order neural networks in the fields of economics, business, modeling, simulation, control, recognition, computer science, and engineering\"-- Provided by publisher.
Data Envelopment Analysis
2015
This handbook represents a milestone in the progression of Data Envelopment Analysis (DEA).Written by experts who are often major contributors to DEA theory, it includes a collection of chapters that represent the current state-of-the-art in DEA research.
Data envelopment analysis and its applications to management
Data envelopment analysis (DEA), a non-parametric technique, has emerged as a popular management tool for measuring the performance of a set of entities, known as decision making units. This book, Data Envelopment Analysis and Its Applications to Management, is a collection of contributions from DEA experts from various countries. It covers a wide range of research papers from the theoretical development of DEA to its applications in various sectors such as economy, banking, education, revenue management, sports, branch networks, cities, and live stock production systems. The book is useful for researchers as well as practitioners who intend to apply DEA to their strategic and managerial decisions.
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