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Applying Analytics


Applying Analytics
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Applying Analytics


Applying Analytics
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Author : E. S. Levine
language : en
Publisher: CRC Press
Release Date : 2013-06-21

Applying Analytics written by E. S. Levine and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-21 with Business & Economics categories.


Newcomers to quantitative analysis need practical guidance on how to analyze data in the real world yet most introductory books focus on lengthy derivations and justifications instead of practical techniques. Covering the technical and professional skills needed by analysts in the academic, private, and public sectors, Applying Analytics: A Practical Introduction systematically teaches novices how to apply algorithms to real data and how to recognize potential pitfalls. It offers one of the first textbooks for the emerging first course in analytics. The text concentrates on the interpretation, strengths, and weaknesses of analytical techniques, along with challenges encountered by analysts in their daily work. The author shares various lessons learned from applying analytics in the real world. He supplements the technical material with coverage of professional skills traditionally learned through experience, such as project management, analytic communication, and using analysis to inform decisions. Example data sets used in the text are available for download online so that readers can test their own analytic routines. Suitable for beginning analysts in the sciences, business, engineering, and government, this book provides an accessible, example-driven introduction to the emerging field of analytics. It shows how to interpret data and identify trends across a range of fields.



A Framework For Applying Analytics In Healthcare


A Framework For Applying Analytics In Healthcare
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Author : Dwight McNeill
language : en
Publisher: FT Press
Release Date : 2013-06-24

A Framework For Applying Analytics In Healthcare written by Dwight McNeill and has been published by FT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-24 with Business & Economics categories.


In A Framework for Applying Analytics in Healthcare, Dwight McNeill shows healthcare analysts and decision-makers exactly how to adapt and apply the best analytics techniques from retail, finance, politics, and sports. McNeill describes each method in depth, presenting numerous case studies that show how these approaches have been deployed and the results that have been achieved. Most important, he explains how these methods can be successfully adapted to the most critical challenges you now face in your healthcare organization. From predictive modeling to social media, this book focuses on innovative techniques with demonstrated effectiveness and direct relevance to healthcare. You’ll discover powerful new ways to manage population health; improve patient activation, support, and experience of care; focus on health outcomes; measure what matters for team performance; make information more actionable; and build more customer-centric organizations.



Agribusiness Competitiveness Applying Analytics Typology And Measurements To Africa


Agribusiness Competitiveness Applying Analytics Typology And Measurements To Africa
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Author : Shishodia, Mahika
language : en
Publisher: Intl Food Policy Res Inst
Release Date : 2017-07-02

Agribusiness Competitiveness Applying Analytics Typology And Measurements To Africa written by Shishodia, Mahika and has been published by Intl Food Policy Res Inst this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-02 with Political Science categories.


Agribusiness has a major role to play in the transformation of the agricultural sector in Africa. With the demand for high-value food products increasing around the world, the production and export of these goods represents an opportunity to achieve increases in income and employment. To capture the benefits of this trend and capitalize on this opportunity for long-term agricultural growth, agribusiness in Africa must become more competitive. In addition to improving competitiveness, increasing agricultural productivity and food security are also major challenges in African agricultural development. In this paper, we compare the agribusiness competitiveness of African countries and develop typologies connected with their food security and agricultural productivity status. The typologies reveal various stylized facts on the competitiveness of agribusiness to help nations prioritize issues for agricultural development and growth. We develop the measures of agribusiness competitiveness and apply them to African countries. Additionally, we present policy implications and lessons for increasing the competitiveness of agribusiness in African countries.



Applied Insurance Analytics


Applied Insurance Analytics
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Author : Patricia L Saporito
language : en
Publisher: FT Press
Release Date : 2014-06-16

Applied Insurance Analytics written by Patricia L Saporito and has been published by FT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-16 with Business & Economics categories.


Insurers: use analytics to drive far more value from your most important asset -- data! Today, many insurers radically underutilize their data, leaving them vulnerable to traditional and non-traditional competitors alike. Now, drawing on 25 years of industry experience, Patricia Saporito shows how to systematically leverage analytics to improve business performance and customer satisfaction throughout any insurance business. Applied Insurance Analytics demonstrates how to use analytics to systematically improve operations ranging from underwriting and risk management to claims. Even more important: it will help you drive more value everywhere by defining a focused enterprise-wide analytics strategy, and overcoming the challenges that stand in your way. Saporito helps you assess your current analytics maturity, choose the new applications that offer the most value, and master best practices from throughout the industry and beyond. Throughout, she helps you gain more value from data assets, technologies and tools you've already invested in. You'll find new case studies, practical tools, and easy templates for improving the "Analytics IQ" of your entire enterprise. For every insurance industry professional and manager concerned with analytics, including users, IT pros, sales/marketing specialists, and data scientists. This book will also be valuable to students in any MBA or other program focused on insurance or risk management, and to many students in IT or analytics-specific programs.



Applied Analytics Through Case Studies Using Sas And R


Applied Analytics Through Case Studies Using Sas And R
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Author : Deepti Gupta
language : en
Publisher: Apress
Release Date : 2018-08-03

Applied Analytics Through Case Studies Using Sas And R written by Deepti Gupta and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-03 with Computers categories.


Examine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning techniques using SAS and the R analytical language. This book is ideal for those who are well-versed in writing code and have a basic understanding of statistics, but have limited experience in implementing predictive models and machine learning techniques for analyzing real world data. The most challenging part of solving industrial business problems is the practical and hands-on knowledge of building and deploying advanced predictive models and machine learning algorithms. Applied Analytics through Case Studies Using SAS and R is your answer to solving these business problems by sharpening your analytical skills. What You'll Learn Understand analytics and basic data concepts Use an analytical approach to solve Industrial business problems Build predictive model with machine learning techniques Create and apply analytical strategies Who This Book Is For Data scientists, developers, statisticians, engineers, and research students with a great theoretical understanding of data and statistics who would like to enhance their skills by getting practical exposure in data modeling.



Enterprise Analytics


Enterprise Analytics
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Author : Thomas H. Davenport
language : en
Publisher: FT Press
Release Date : 2012-09-13

Enterprise Analytics written by Thomas H. Davenport and has been published by FT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-13 with Business & Economics categories.


Normal 0 false false false MicrosoftInternetExplorer4 The Definitive Guide to Enterprise-Level Analytics Strategy, Technology, Implementation, and Management Organizations are capturing exponentially larger amounts of data than ever, and now they have to figure out what to do with it. Using analytics, you can harness this data, discover hidden patterns, and use this knowledge to act meaningfully for competitive advantage. Suddenly, you can go beyond understanding “how, when, and where” events have occurred, to understand why – and use this knowledge to reshape the future. Now, analytics pioneer Tom Davenport and the world-renowned experts at the International Institute for Analytics (IIA) have brought together the latest techniques, best practices, and research on analytics in a single primer for maximizing the value of enterprise data. Enterprise Analytics is today’s definitive guide to analytics strategy, planning, organization, implementation, and usage. It covers everything from building better analytics organizations to gathering data; implementing predictive analytics to linking analysis with organizational performance. The authors offer specific insights for optimizing supply chains, online services, marketing, fraud detection, and many other business functions. They support their powerful techniques with many real-world examples, including chapter-length case studies from healthcare, retail, and financial services. Enterprise Analytics will be an invaluable resource for every business and technical professional who wants to make better data-driven decisions: operations, supply chain, and product managers; product, financial, and marketing analysts; CIOs and other IT leaders; data, web, and data warehouse specialists, and many others.



Human Resource Analytics


Human Resource Analytics
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Author : Dr Abhishek Sharma
language : en
Publisher: JEC PUBLICATION
Release Date :

Human Resource Analytics written by Dr Abhishek Sharma and has been published by JEC PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.


Human Resource Analytics represents a transformative shift in how organizations approach their most valuable asset: their people. In an era where data-driven decision-making has become a cornerstone of strategic management, HR analytics emerges as a critical discipline that empowers organizations to leverage data and insights to enhance their human capital strategies. This book, "Human Resource Analytics," is designed to guide HR professionals, managers, and organizational leaders through the evolving landscape of HR analytics and its profound impact on organizational success. As the business environment becomes increasingly complex and competitive, the ability to harness and interpret data has become essential for achieving strategic goals and driving growth. Traditional HR practices, while foundational, often lack the precision and insight needed to address the dynamic needs of modern organizations. HR analytics offers a solution by transforming raw data into actionable insights that inform decision-making, optimize workforce management, and align HR practices with overall business objectives. This book aims to demystify the principles and applications of HR analytics, providing readers with a comprehensive understanding of how to leverage data to make informed decisions and drive positive outcomes. Throughout this book, we will explore the fundamental concepts of HR analytics, including the collection, analysis, and interpretation of data related to employee performance, compensation, benefits, and engagement. We will delve into various analytical techniques and tools that enable organizations to uncover trends, predict future workforce needs, and measure the effectiveness of HR initiatives. Case studies and real-world examples will illustrate how leading organizations have successfully implemented HR analytics to enhance their strategies and achieve measurable results. The journey begins with an introduction to the core principles of HR analytics, followed by a detailed exploration of key areas such as compensation and benefits analytics, employee engagement and retention, performance management, and learning and development analytics. Each chapter will provide practical insights and actionable strategies that can be applied within your organization to leverage data for improved decision-making and performance. In writing this book, our goal is not only to provide a theoretical foundation but also to offer practical guidance and best practices for implementing HR analytics in real-world settings. Whether you are new to the field of HR analytics or looking to deepen your expertise, this book will serve as a valuable resource for understanding and applying data-driven approaches to HR management. As we navigate the complexities of human resource management in the datadriven age, it is essential to recognize the role of analytics in shaping the future of work. By embracing HR analytics, organizations can unlock new opportunities, drive innovation, and achieve greater success. We hope that this book will inspire and equip you to harness the power of analytics and contribute to the advancement of HR practices in your organization. -Dr Abhishek Sharma -Ms Teena Chaudhary



The Complete Guide To Business Analytics Collection


The Complete Guide To Business Analytics Collection
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Author : Thomas H. Davenport
language : en
Publisher: FT Press
Release Date : 2012-10-14

The Complete Guide To Business Analytics Collection written by Thomas H. Davenport and has been published by FT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-14 with Business & Economics categories.


A brand new collection of business analytics insights and actionable techniques… 3 authoritative books, now in a convenient e-format, at a great price! 3 authoritative eBooks deliver comprehensive analytics knowledge and tools for optimizing every critical business decision! Use business analytics to drive maximum value from all your business data! This unique 3 eBook package will help you harness your information, discover hidden patterns, and successfully act on what you learn. In Enterprise Analytics, analytics pioneer Tom Davenport and the world-renowned experts at the International Institute for Analytics (IIA) bring together the latest techniques, best practices, and research on large-scale analytics strategy, technology, implementation, and management. Using real-world examples, they cover everything from building better analytics organizations to gathering data; implementing predictive analytics to linking analysis with organizational performance. You'll find specific insights for optimizing supply chains, online services, marketing, fraud detection, and many other business functions; plus chapter-length case studies from healthcare, retail, and financial services. Next, in the up-to-the-minute Analysis Without Paralysis, Second Edition, Babette E. Bensoussan and Craig S. Fleisher help you succeed with analysis without getting mired in advanced math or arcane theory. They walk you through the entire business analysis process, and guide you through using 12 core tools for making better decisions about strategy and operations -- including three powerful tools covered for the first time in this new Second Edition. Then, in Business and Competitive Analysis, Fleisher and Bensoussan help you apply 24 leading business analysis models to gain deep clarity about your business environment, answer tough questions, and make tough choices. They first walk you through defining problems, avoiding pitfalls, choosing tools, and communicating results. Next, they systematically address both “classic” techniques and the most promising new approaches from economics, finance, sociology, anthropology, and the intelligence and futurist communities. For the first time, one book covers Nine Forces, Competitive Positioning, Business Model, Supply Chain Analyses, Benchmarking, McKinsey 7S, Shadowing, Product Line, Win/Loss, Strategic Relationships, Corporate Reputation, Critical Success Factors, Driving Forces, Country Risk, Technology Forecasting, War Gaming, Event/Timeline, Indications, Warning Analyses, Competitor Cash Flow, ACH, Linchpin Analyses, and more. Whether you're an executive, strategist, analyst, marketer, or operations professional, this eBook collection will help you make more effective, data-driven, profitable decisions! From world-renowned analytics and competitive/business intelligence experts Thomas H. Davenport, Babette E. Bensoussan, and Craig S. Fleisher



Handbook Of Research On Pattern Engineering System Development For Big Data Analytics


Handbook Of Research On Pattern Engineering System Development For Big Data Analytics
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Author : Tiwari, Vivek
language : en
Publisher: IGI Global
Release Date : 2018-04-20

Handbook Of Research On Pattern Engineering System Development For Big Data Analytics written by Tiwari, Vivek and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-20 with Computers categories.


Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries. It is necessary to develop new techniques for managing data in order to ensure adequate usage. The Handbook of Research on Pattern Engineering System Development for Big Data Analytics is a critical scholarly resource that examines the incorporation of pattern management in business technologies as well as decision making and prediction process through the use of data management and analysis. Featuring coverage on a broad range of topics such as business intelligence, feature extraction, and data collection, this publication is geared towards professionals, academicians, practitioners, and researchers seeking current research on the development of pattern management systems for business applications.



Handbook Of Research On Foundations And Applications Of Intelligent Business Analytics


Handbook Of Research On Foundations And Applications Of Intelligent Business Analytics
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Author : Sun, Zhaohao
language : en
Publisher: IGI Global
Release Date : 2022-03-11

Handbook Of Research On Foundations And Applications Of Intelligent Business Analytics written by Sun, Zhaohao and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-11 with Computers categories.


Intelligent business analytics is an emerging technology that has become a mainstream market adopted broadly across industries, organizations, and geographic regions. Intelligent business analytics is a current focus for research and development across academia and industries and must be examined and considered thoroughly so businesses can apply the technology appropriately. The Handbook of Research on Foundations and Applications of Intelligent Business Analytics examines the technologies and applications of intelligent business analytics and discusses the foundations of intelligent analytics such as intelligent mining, intelligent statistical modeling, and machine learning. Covering topics such as augmented analytics and artificial intelligence systems, this major reference work is ideal for scholars, engineers, professors, practitioners, researchers, industry professionals, academicians, and students.