Applying Analytics

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Applying Analytics

Author : E. S. Levine
Publisher : CRC Press
Page : 292 pages
File Size : 40,9 Mb
Release : 2013-06-21
Category : Business & Economics
ISBN : 9781466557185

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Applying Analytics by E. S. Levine Pdf

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

Author : Dwight McNeill
Publisher : FT Press
Page : 253 pages
File Size : 41,7 Mb
Release : 2013-06-24
Category : Business & Economics
ISBN : 9780133353761

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A Framework for Applying Analytics in Healthcare by Dwight McNeill Pdf

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

Author : Shishodia, Mahika,Babu, Suresh Chandra
Publisher : Intl Food Policy Res Inst
Page : 44 pages
File Size : 43,6 Mb
Release : 2017-07-02
Category : Political Science
ISBN : 8210379456XXX

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Agribusiness competitiveness: Applying analytics, typology, and measurements to Africa by Shishodia, Mahika,Babu, Suresh Chandra Pdf

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.

Applying Predictive Analytics

Author : Richard V. McCarthy,Mary M. McCarthy,Wendy Ceccucci,Leila Halawi
Publisher : Springer
Page : 205 pages
File Size : 45,5 Mb
Release : 2019-03-12
Category : Technology & Engineering
ISBN : 9783030140380

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Applying Predictive Analytics by Richard V. McCarthy,Mary M. McCarthy,Wendy Ceccucci,Leila Halawi Pdf

This textbook presents a practical approach to predictive analytics for classroom learning. It focuses on using analytics to solve business problems and compares several different modeling techniques, all explained from examples using the SAS Enterprise Miner software. The authors demystify complex algorithms to show how they can be utilized and explained within the context of enhancing business opportunities. Each chapter includes an opening vignette that provides real-life example of how business analytics have been used in various aspects of organizations to solve issue or improve their results. A running case provides an example of a how to build and analyze a complex analytics model and utilize it to predict future outcomes.

Applied Predictive Analytics

Author : Dean Abbott
Publisher : John Wiley & Sons
Page : 456 pages
File Size : 40,5 Mb
Release : 2014-03-31
Category : Computers
ISBN : 9781118727690

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Applied Predictive Analytics by Dean Abbott Pdf

Learn the art and science of predictive analytics — techniques that get results Predictive analytics is what translates big data into meaningful, usable business information. Written by a leading expert in the field, this guide examines the science of the underlying algorithms as well as the principles and best practices that govern the art of predictive analytics. It clearly explains the theory behind predictive analytics, teaches the methods, principles, and techniques for conducting predictive analytics projects, and offers tips and tricks that are essential for successful predictive modeling. Hands-on examples and case studies are included. The ability to successfully apply predictive analytics enables businesses to effectively interpret big data; essential for competition today This guide teaches not only the principles of predictive analytics, but also how to apply them to achieve real, pragmatic solutions Explains methods, principles, and techniques for conducting predictive analytics projects from start to finish Illustrates each technique with hands-on examples and includes as series of in-depth case studies that apply predictive analytics to common business scenarios A companion website provides all the data sets used to generate the examples as well as a free trial version of software Applied Predictive Analytics arms data and business analysts and business managers with the tools they need to interpret and capitalize on big data.

Challenges and Applications of Data Analytics in Social Perspectives

Author : Sathiyamoorthi, V.,Elci, Atilla
Publisher : IGI Global
Page : 324 pages
File Size : 53,9 Mb
Release : 2020-12-04
Category : Computers
ISBN : 9781799825685

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Challenges and Applications of Data Analytics in Social Perspectives by Sathiyamoorthi, V.,Elci, Atilla Pdf

With exponentially increasing amounts of data accumulating in real-time, there is no reason why one should not turn data into a competitive advantage. While machine learning, driven by advancements in artificial intelligence, has made great strides, it has not been able to surpass a number of challenges that still prevail in the way of better success. Such limitations as the lack of better methods, deeper understanding of problems, and advanced tools are hindering progress. Challenges and Applications of Data Analytics in Social Perspectives provides innovative insights into the prevailing challenges in data analytics and its application on social media and focuses on various machine learning and deep learning techniques in improving practice and research. The content within this publication examines topics that include collaborative filtering, data visualization, and edge computing. It provides research ideal for data scientists, data analysts, IT specialists, website designers, e-commerce professionals, government officials, software engineers, social media analysts, industry professionals, academicians, researchers, and students.

Financial Data Analytics

Author : Sinem Derindere Köseoğlu
Publisher : Springer Nature
Page : 393 pages
File Size : 43,7 Mb
Release : 2022-04-25
Category : Business & Economics
ISBN : 9783030837990

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Financial Data Analytics by Sinem Derindere Köseoğlu Pdf

​This book presents both theory of financial data analytics, as well as comprehensive insights into the application of financial data analytics techniques in real financial world situations. It offers solutions on how to logically analyze the enormous amount of structured and unstructured data generated every moment in the finance sector. This data can be used by companies, organizations, and investors to create strategies, as the finance sector rapidly moves towards data-driven optimization. This book provides an efficient resource, addressing all applications of data analytics in the finance sector. International experts from around the globe cover the most important subjects in finance, including data processing, knowledge management, machine learning models, data modeling, visualization, optimization for financial problems, financial econometrics, financial time series analysis, project management, and decision making. The authors provide empirical evidence as examples of specific topics. By combining both applications and theory, the book offers a holistic approach. Therefore, it is a must-read for researchers and scholars of financial economics and finance, as well as practitioners interested in a better understanding of financial data analytics.

Applied Business Analytics

Author : Nathaniel Lin
Publisher : FT Press
Page : 321 pages
File Size : 49,6 Mb
Release : 2014-12-12
Category : Business & Economics
ISBN : 9780133481532

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Applied Business Analytics by Nathaniel Lin Pdf

Bridge the gap between analytics and execution, and actually translate analytics into better business decision-making! Now that you've collected data and crunched numbers, Applied Business Analytics reveals how to fully apply the information and knowledge you've gleaned from quants and tech teams. Nathaniel Lin explains why "analytics value chains" often break due to organizational and cultural issues, and offers "in the trenches" guidance for overcoming these obstacles. You'll discover why a special breed of "analytics deciders" is indispensable for any organization that seeks to compete on analytics... how to become one of those deciders... and how to identify, foster, support, empower, and reward others to join you. Lin draws on actual cases and examples from his own experience, augmenting them with hands-on examples and exercises to integrate analytics at all levels: from top-level business questions to low-level technical details. Along the way, you'll learn how to bring together analytics team members with widely diverse goals, knowledge, and backgrounds. Coverage includes: How analytical and conventional decision making differ — and the challenging implications How to determine who your analytics deciders are, and ought to be Proven best practices for actually applying analytics to decision-making How to optimize your use of analytics as an analyst, manager, executive, or C-level officer Applied Business Analytics will be invaluable to wide audiences of professionals, decision-makers, and consultants involved in analytics, including Chief Analytics Officers, Chief Data Officers, Chief Scientists, Chief Marketing Officers, Chief Risk Officers, Chief Strategy Officers, VPs of Analytics and/or Big Data, data scientists, business strategists, and line of business executives. It will also be exceptionally useful to students of analytics in any graduate, undergraduate, or certificate program, including candidates for INFORMS certification.

Applied Sport Business Analytics

Author : Christopher Atwater,Robert E. Baker,Ted Kwartler
Publisher : Human Kinetics
Page : 218 pages
File Size : 51,6 Mb
Release : 2022-03-17
Category : Sports administration
ISBN : 9781492598534

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Applied Sport Business Analytics by Christopher Atwater,Robert E. Baker,Ted Kwartler Pdf

"This book addresses the fundamental use of analytical metrics to inform sport managers, framing sport analytics for practical use within organizations. The book is organized to present the background of sport analytics, why it is useful, selected techniques and tools employed, and its applications in sport organizations. The text guides the reader in selecting and communicating information in a useable format, and the translation of metrics in informing managers, guiding decisions, and maximizing efficiency in achieving desired outcomes"--

Customer and Business Analytics

Author : Daniel S. Putler,Robert E. Krider
Publisher : CRC Press
Page : 314 pages
File Size : 54,5 Mb
Release : 2012-05-07
Category : Business & Economics
ISBN : 9781466503984

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Customer and Business Analytics by Daniel S. Putler,Robert E. Krider Pdf

Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying these tools. Extensively classroom-tested, the tex

Applied Analytics through Case Studies Using SAS and R

Author : Deepti Gupta
Publisher : Apress
Page : 415 pages
File Size : 46,8 Mb
Release : 2018-08-03
Category : Computers
ISBN : 9781484235256

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Applied Analytics through Case Studies Using SAS and R by Deepti Gupta Pdf

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.

Applied Big Data Analytics in Operations Management

Author : Kumar, Manish
Publisher : IGI Global
Page : 251 pages
File Size : 43,6 Mb
Release : 2016-09-30
Category : Business & Economics
ISBN : 9781522508878

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Applied Big Data Analytics in Operations Management by Kumar, Manish Pdf

Operations management is a tool by which companies can effectively meet customers’ needs using the least amount of resources necessary. With the emergence of sensors and smart metering, big data is becoming an intrinsic part of modern operations management. Applied Big Data Analytics in Operations Management enumerates the challenges and creative solutions and tools to apply when using big data in operations management. Outlining revolutionary concepts and applications that help businesses predict customer behavior along with applications of artificial neural networks, predictive analytics, and opinion mining on business management, this comprehensive publication is ideal for IT professionals, software engineers, business professionals, managers, and students of management.

Data Analytics Applied to the Mining Industry

Author : Ali Soofastaei
Publisher : CRC Press
Page : 273 pages
File Size : 46,9 Mb
Release : 2020-11-12
Category : Computers
ISBN : 9780429781773

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Data Analytics Applied to the Mining Industry by Ali Soofastaei Pdf

Data Analytics Applied to the Mining Industry describes the key challenges facing the mining sector as it transforms into a digital industry able to fully exploit process automation, remote operation centers, autonomous equipment and the opportunities offered by the industrial internet of things. It provides guidelines on how data needs to be collected, stored and managed to enable the different advanced data analytics methods to be applied effectively in practice, through use of case studies, and worked examples. Aimed at graduate students, researchers, and professionals in the industry of mining engineering, this book: Explains how to implement advanced data analytics through case studies and examples in mining engineering Provides approaches and methods to improve data-driven decision making Explains a concise overview of the state of the art for Mining Executives and Managers Highlights and describes critical opportunity areas for mining optimization Brings experience and learning in digital transformation from adjacent sectors

A Practitioner's Guide to Business Analytics (PB)

Author : Randy Bartlett
Publisher : McGraw Hill Professional
Page : 289 pages
File Size : 52,5 Mb
Release : 2013-01-25
Category : Business & Economics
ISBN : 9780071807609

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A Practitioner's Guide to Business Analytics (PB) by Randy Bartlett Pdf

Gain the competitive edge with the smart use of business analytics In today’s volatile business environment, the strategic use of business analytics is more important than ever. A Practitioners Guide to Business Analytics helps you get the organizational commitment you need to get business analytics up and running in your company. It provides solutions for meeting the strategic challenges of applying analytics, such as: Integrating analytics into decision making, corporate culture, and business strategy Leading and organizing analytics within the corporation Applying statistical qualifications, statistical diagnostics, and statistical review Providing effective building blocks to support analytics—statistical software, data collection, and data management Randy Bartlett, Ph.D., is Chief Statistical Officer of the consulting company Blue Sigma Analytics. He currently works with Infosys, where he has helped build their new Business Analytics practice.

Applied Insurance Analytics

Author : Patricia L Saporito
Publisher : FT Press
Page : 204 pages
File Size : 49,6 Mb
Release : 2014-06-16
Category : Business & Economics
ISBN : 9780133760736

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Applied Insurance Analytics by Patricia L Saporito Pdf

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.