Data And Analytics In Accounting
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Data Analytics For Accounting
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Author : Vernon J. Richardson
language : en
Publisher:
Release Date : 2019
Data Analytics For Accounting written by Vernon J. Richardson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Accounting categories.
Data And Analytics In Accounting
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Author : Ann C. Dzuranin
language : en
Publisher: John Wiley & Sons
Release Date : 2024
Data And Analytics In Accounting written by Ann C. Dzuranin and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Business & Economics categories.
Data Analytics in Accounting: An Integrated Approach develops an integrated data analysis and critical thinking skill set needed to be successful in the rapidly changing accounting profession. Following a pattern-based approach to profiling, cleaning, and transforming data, the book helps explore data from a variety of perspectives for analytical purposes and key data relationships. The text guides students to develop the professional skills they need to plan, perform, and communicate data analyses effectively and efficiently in the real world. This international edition introduces a new feature "Data Analytics and Decision Making" at the end of the book, which offers students the opportunity to see how they can use data analytics to help solve realistic business problems. In addition, topical changes have been made in select chapters and brief exercises along with multiple-choice questions have been revised in all the chapters.
Financial Data Analytics
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Author : Sinem Derindere Köseoğlu
language : en
Publisher: Springer Nature
Release Date : 2022-04-25
Financial Data Analytics written by Sinem Derindere Köseoğlu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-25 with Business & Economics categories.
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.
Fourth Industrial Revolution And Business Dynamics
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Author : Nasser Rashad Al Mawali
language : en
Publisher: Palgrave Macmillan
Release Date : 2021-11-16
Fourth Industrial Revolution And Business Dynamics written by Nasser Rashad Al Mawali and has been published by Palgrave Macmillan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-16 with Business & Economics categories.
The book explains strategic issues, trends, challenges, and future scenario of global economy in the light of Fourth Industrial Revolution. It consists of insightful scientific essays authored by scholars and practitioners from business, technology, and economics area. The book contributes to business education by means of research, critical and theoretical reviews of issues in Fourth Industrial Revolution.
Business Intelligence Techniques
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Author : Murugan Anandarajan
language : en
Publisher: Springer Science & Business Media
Release Date : 2004
Business Intelligence Techniques written by Murugan Anandarajan and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Business & Economics categories.
Modern businesses generate huge volumes of accounting data on a daily basis. The recent advancements in information technology have given organizations the ability to capture and store these data in an efficient and effective manner. However, there is a widening gap between this data storage and usage of the data. Business intelligence techniques can help an organization obtain and process relevant accounting data quickly and cost efficiently. Such techniques include, query and reporting tools, online analytical processing (OLAP), statistical analysis, text mining, data mining, and visualization. Business Intelligence Techniques is a compilation of chapters written by experts in the various areas. While these chapters stand of their own, taken together they provide a comprehensive overview of how to exploit accounting data in the business environment.
Handbook Of Financial Econometrics Mathematics Statistics And Machine Learning In 4 Volumes
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Author : Cheng Few Lee
language : en
Publisher: World Scientific
Release Date : 2020-07-30
Handbook Of Financial Econometrics Mathematics Statistics And Machine Learning In 4 Volumes written by Cheng Few Lee and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-30 with Business & Economics categories.
This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.
Data Mining For Dummies
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Author : Meta S. Brown
language : en
Publisher: John Wiley & Sons
Release Date : 2014-09-29
Data Mining For Dummies written by Meta S. Brown and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-29 with Computers categories.
Delve into your data for the key to success Data mining is quickly becoming integral to creating value and business momentum. The ability to detect unseen patterns hidden in the numbers exhaustively generated by day-to-day operations allows savvy decision-makers to exploit every tool at their disposal in the pursuit of better business. By creating models and testing whether patterns hold up, it is possible to discover new intelligence that could change your business's entire paradigm for a more successful outcome. Data Mining for Dummies shows you why it doesn't take a data scientist to gain this advantage, and empowers average business people to start shaping a process relevant to their business's needs. In this book, you'll learn the hows and whys of mining to the depths of your data, and how to make the case for heavier investment into data mining capabilities. The book explains the details of the knowledge discovery process including: Model creation, validity testing, and interpretation Effective communication of findings Available tools, both paid and open-source Data selection, transformation, and evaluation Data Mining for Dummies takes you step-by-step through a real-world data-mining project using open-source tools that allow you to get immediate hands-on experience working with large amounts of data. You'll gain the confidence you need to start making data mining practices a routine part of your successful business. If you're serious about doing everything you can to push your company to the top, Data Mining for Dummies is your ticket to effective data mining.
Artificial Intelligence In Accounting
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Author : Cory Ng
language : en
Publisher: Routledge
Release Date : 2020-12-08
Artificial Intelligence In Accounting written by Cory Ng and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-08 with Business & Economics categories.
Artificial Intelligence in Accounting: Practical Applications was written with a simple goal: to provide accountants with a foundational understanding of AI and its many business and accounting applications. It is meant to serve as a guide for identifying opportunities to implement AI initiatives to increase productivity and profitability. This book will help you answer questions about what AI is and how it is used in the accounting profession today. Offering practical guidance that you can leverage for your organization, this book provides an overview of essential AI concepts and technologies that accountants should know, such as machine learning, deep learning, and natural language processing. It also describes accounting-specific applications of robotic process automation and text mining. Illustrated with case studies and interviews with representatives from global professional services firms, this concise volume makes a significant contribution to examining the intersection of AI and the accounting profession. This innovative book also explores the challenges and ethical considerations of AI. It will be of great interest to accounting practitioners, researchers, educators, and students.
Accounting Information Systems
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Author : Arline A. Savage
language : en
Publisher: Wiley Global Education
Release Date : 2022-02-04
Accounting Information Systems written by Arline A. Savage and has been published by Wiley Global Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-04 with Business & Economics categories.
Accounting Information Systems, 1st Edition by Arline Savage, Danielle Brannock, and Alicja Foksinska presents a modern, professional perspective that develops the necessary skills students need to be the accountants of the future. Through high-quality assessment and integrated homework, students learn course concepts more efficiently and understand how course concepts are applied in the workplace through real-world application. Accounting Information Systems also focuses on helping students learn how to make informed business decisions through case-based learning and data analysis applications. Students work through Julia's Cookies,a flexible, running case that helps them understand how various systems come together to support a business, and how those systems evolve. Students also develop a critical thinking mindset by working through integrated analysis questions that take a tool-agnostic approach, as well as Tableau cases so students can practice making real business decisions using leading technology. To further help prepare students to be the accountants of the future, the authors incorporate their own industry experience and help showcase how AIS concepts are used through resources including Sample LinkedIn Job Posts and the Featured Professionals video series. These tools spotlight real accounting professionals and job opportunities, while connecting to chapter material, allowing student to see how what they're learning applies to business, as well as visualize the different paths AIS can take them.