Arindam Banerjee – författare

This book is a comprehensive, step-by-step learning guide towards understanding an entire value chain of Business Analytics, its interrelated components and its role in business decision-making in India and globally. The book has been written with an interdisciplinary approach that triggers strategic as well as routine, thought-provoking ideas to cut across data from several business domains globally.Business Analytics Value Chain deals with the end-to-end journey from planning the approach to a data enriched decision-problem, to communicating results derived from analytics models to clients. Using current cases from all aspects of a business venture (finance, marketing, human resources, and operations), the book helps the readers to develop the capabilities of evaluating a business case scenario; understand the business problem; identify the data sources and data availability; logically think through problemsolving; use analytics techniques and application software to solve the problem; and be able to interpret the results. Case studies have been carefully designed to represent business scenarios from varied business domains, both local and global, such that they guide the students to making informed fact-based decisions during collaborative planning, analyzing, interpreting, and communicating outcomes for data-enriched problem scenarios.The book will be useful for students, researchers, and instructors from the fields of Business Management, Data Analytics, Commerce, and Economics. It will also be an indispensable companion to the professional working in the field of data analytics.

This book is a comprehensive, step-by-step learning guide towards understanding an entire value chain of Business Analytics, its interrelated components and its role in business decision-making in India and globally. The book has been written with an interdisciplinary approach that triggers strategic as well as routine, thought-provoking ideas to cut across data from several business domains globally.Business Analytics Value Chain deals with the end-to-end journey from planning the approach to a data enriched decision-problem, to communicating results derived from analytics models to clients. Using current cases from all aspects of a business venture (finance, marketing, human resources, and operations), the book helps the readers to develop the capabilities of evaluating a business case scenario; understand the business problem; identify the data sources and data availability; logically think through problemsolving; use analytics techniques and application software to solve the problem; and be able to interpret the results. Case studies have been carefully designed to represent business scenarios from varied business domains, both local and global, such that they guide the students to making informed fact-based decisions during collaborative planning, analyzing, interpreting, and communicating outcomes for data-enriched problem scenarios.The book will be useful for students, researchers, and instructors from the fields of Business Management, Data Analytics, Commerce, and Economics. It will also be an indispensable companion to the professional working in the field of data analytics.

This reference work comprehensively covers essential orthopedic trauma implants and their application in both upper and lower limbs. It offers insights into the invention, advantages, and disadvantages of various implants, along with the rationale behind their current designs, biomechanics, and materials. Additionally, the book addresses fracture fixation and general considerations when comparing different subgroups of implants, such as nails versus plates or ORIF versus external fixation.The book is divided into several sections, such as upper and lower limbs, spine, and pelvis. It also includes unique sections dedicated to pediatric implants, implant removal, metallurgy and bone grafts. It is written and edited by experienced surgeons from around the world. This book fills the gap as currently, there are no specific reference books on this topic but only operative manuals and inventory lists of various commercial companies detailing their own products.This highly informative and meticulously presented book serves as both a practical and a theoretical guide for practicing orthopedic surgeons, scientists/researchers, academicians, students as well as orthopedic technicians and nurses.

This book provides updated information on certain in vitro and preclinical in vivo cancer models. the development of preclinical in vitro and xenograft-based in vivo cancer models as well as their validation based on widely accepted biomarkers;

This textbook is a comprehensive, step-by-step learning guide to each aspect of business analytics and its role and significance in real-life business decision-making. Correct capture, analysis and interpretation of data can have an immense impact on business productivity. Therefore, business analytics has turned out to be a strategic need for sustainability and growth in this competitive world. Descriptive, predictive and prescriptive models and data mining techniques are increasingly being used to interpret large quantities of data for getting useful business insights. Business Analytics: Text and Cases deals with the end-to-end journey from planning the approach to a data-enriched decision-problem, to communicating the results derived from analytics models to clients. Using cases from all aspects of a business venture (finance, marketing, human resource and operations), the book helps students to develop the skill to evaluate a business case scenario, understand the business problems, identify the data sources and data availability, logically think through problem-solving, use analytics techniques and application software to solve the problem and be able to interpret the results.Key Features:•Case studies of three degrees of difficulty level to enhance better understanding of the concepts•Application of software tools such as Microsoft Excel, R, SPSS, RapidMiner and Tableau to assist learning in building models and communicating results using analytics, data mining and data visualization•End of book Appendix consisting of step-by-step solved comprehensive case studies that discuss the concepts of all the chapters•Special emphasis on the need to develop skill for interpreting the outcome from the statistical results and presenting it in a form easily understood by the end user/client