| data analytics in tax accounting: Data Analytics for Accounting Vernon J. Richardson, Ryan Teeter, Katie L. Terrell, 2018-05-23 |
| data analytics in tax accounting: Financial Data Analytics Sinem Derindere Köseoğlu, 2022-04-25 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. |
| data analytics in tax accounting: Analytics and Big Data for Accountants Jim Lindell, 2020-10-29 Why is big data analytics one of the hottest business topics today? This book will help accountants and financial managers better understand big data and analytics, including its history and current trends. It dives into the platforms and operating tools that will help you measure program impacts and ROI, visualize data and business processes, and uncover the relationship between key performance indicators. Key topics covered include: Evidence-based techniques for finding or generating data, selecting key performance indicators, isolating program effects Relating data to return on investment, financial values, and executive decision making Data sources including surveys, interviews, customer satisfaction, engagement, and operational data Visualizing and presenting complex results |
| data analytics in tax accounting: Data and Analytics in Accounting Ann C. Dzuranin, Guido Geerts, Margarita Lenk, 2022-12-20 Develop an integrated data analysis and critical thinking skill set needed to be successful in the rapidly changing accounting profession. Data Analytics in Accounting: An Integrated Approach, 1st Edition helps students develop the professional skills you need to plan, perform, and communicate data analyses effectively and efficiently in the real world. An integrated approach provides flexibility for use within a standalone course or across the accounting curriculum. |
| data analytics in tax accounting: Data and Analytics in Accounting Ann C. Dzuranin, Guido Geerts, Margarita Lenk, 2023-12-25 |
| data analytics in tax accounting: Guide to Audit Data Analytics AICPA, 2018-02-21 Designed to facilitate the use of audit data analytics (ADAs) in the financial statement audit, this title was developed by leading experts across the profession and academia. The guide defines audit data analytics as “the science and art of discovering and analyzing patterns, identifying anomalies, and extracting other useful information in data underlying or related to the subject matter of an audit through analysis, modeling, and visualization for planning or performing the audit.” Simply put, ADAs can be used to perform a variety of procedures to gather audit evidence. Each chapter focuses on an audit area and includes step-by-step guidance illustrating how ADAs can be used throughout the financial statement audit. Suggested considerations for assessing the reliability of data are also included in a separate appendix. |
| data analytics in tax accounting: Advances in Accounting Education Thomas G. Calderon, 2020-10-05 AAE publishes empirical and non-empirical research in Accounting Education. Volume 24 addresses five key themes: (1) research on student attitudes and behaviour, (2) cases and pedagogical approaches in tax, (3) financial reporting and introductory accounting, (4) research about the CPA exam, and (5) international perspectives. |
| data analytics in tax accounting: Electronic Government and the Information Systems Perspective Andrea Kő, Enrico Francesconi, Gabriele Anderst-Kotsis, A Min Tjoa, Ismail Khalil, 2019-08-19 This book constitutes the refereed proceedings of the 8th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2019, held in Linz, Austria, in August 2019. The 17 full papers presented were carefully reviewed and selected from 25 submissions. The papers are organized in the following topical sections: open data and open innovation; data-driven approaches in e-government; e-government cases – data and knowledge management; e-government theoretical background; and digitalization and transparency. |
| data analytics in tax accounting: Quantitative Data Analysis Willem Mertens, Amedeo Pugliese, Jan Recker, 2016-09-29 This book offers postgraduate and early career researchers in accounting and information systems a guide to choosing, executing and reporting appropriate data analysis methods to answer their research questions. It provides readers with a basic understanding of the steps that each method involves, and of the facets of the analysis that require special attention. Rather than presenting an exhaustive overview of the methods or explaining them in detail, the book serves as a starting point for developing data analysis skills: it provides hands-on guidelines for conducting the most common analyses and reporting results, and includes pointers to more extensive resources. Comprehensive yet succinct, the book is brief and written in a language that everyone can understand - from students to those employed by organizations wanting to study the context in which they work. It also serves as a refresher for researchers who have learned data analysis techniques previously but who need a reminder for the specific study they are involved in. |
| data analytics in tax accounting: Data Analytics Warren W. Stippich, 2016 |
| data analytics in tax accounting: Tax Administration 2021 Comparative Information on OECD and other Advanced and Emerging Economies OECD, 2021-09-15 This report is the ninth edition of the OECD's Tax Administration Series. It provides internationally comparative data on aspects of tax systems and their administration in 59 advanced and emerging economies. |
| data analytics in tax accounting: Data Mining For Dummies Meta S. Brown, 2014-09-04 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. |
| data analytics in tax accounting: U.S. Master Tax Guide Hardbound Edition (2022) Wolters Kluwer Editorial, 2021-11-30 The nation's top federal tax resource, the U.S. Master Tax Guide (2022), has been updated to provide complete and reliable guidance on the Coronavirus (COVID-19) Relief Acts, as well as pertinent federal taxation changes that affect 2021 returns. By having access to the most sought-after resource on the market, you will gain a complete understanding of updated tax law, including regulations and administrative guidance. |
| data analytics in tax accounting: Cyber Security Intelligence and Analytics Zheng Xu, Saed Alrabaee, Octavio Loyola-González, Xiaolu Zhang, Niken Dwi Wahyu Cahyani, Nurul Hidayah Ab Rahman, 2022-02-26 This book presents the outcomes of the 2022 4th International Conference on Cyber Security Intelligence and Analytics (CSIA 2022), an international conference dedicated to promoting novel theoretical and applied research advances in the interdisciplinary field of cyber-security, particularly focusing on threat intelligence, analytics, and countering cyber-crime. The conference provides a forum for presenting and discussing innovative ideas, cutting-edge research findings and novel techniques, methods and applications on all aspects of cyber-security intelligence and analytics. Due to COVID-19, authors, keynote speakers and PC committees will attend the conference online. |
| data analytics in tax accounting: The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy John Macintyre, Jinghua Zhao, Xiaomeng Ma, 2021-10-27 This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2021), online conference, on 30 October 2021. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field. |
| data analytics in tax accounting: Research Handbook in Data Science and Law Vanessa Mak, Eric Tjong Tjin Tai, Anna Berlee, 2018-12-28 The use of data in society has seen an exponential growth in recent years. Data science, the field of research concerned with understanding and analyzing data, aims to find ways to operationalize data so that it can be beneficially used in society, for example in health applications, urban governance or smart household devices. The legal questions that accompany the rise of new, data-driven technologies however are underexplored. This book is the first volume that seeks to map the legal implications of the emergence of data science. It discusses the possibilities and limitations imposed by the current legal framework, considers whether regulation is needed to respond to problems raised by data science, and which ethical problems occur in relation to the use of data. It also considers the emergence of Data Science and Law as a new legal discipline. |
| data analytics in tax accounting: Forensic Analytics Mark J. Nigrini, 2011-05-12 Discover how to detect fraud, biases, or errors in your data using Access or Excel With over 300 images, Forensic Analytics reviews and shows how twenty substantive and rigorous tests can be used to detect fraud, errors, estimates, or biases in your data. For each test, the original data is shown with the steps needed to get to the final result. The tests range from high-level data overviews to assess the reasonableness of data, to highly focused tests that give small samples of highly suspicious transactions. These tests are relevant to your organization, whether small or large, for profit, nonprofit, or government-related. Demonstrates how to use Access, Excel, and PowerPoint in a forensic setting Explores use of statistical techniques such as Benford's Law, descriptive statistics, correlation, and time-series analysis to detect fraud and errors Discusses the detection of financial statement fraud using various statistical approaches Explains how to score locations, agents, customers, or employees for fraud risk Shows you how to become the data analytics expert in your organization Forensic Analytics shows how you can use Microsoft Access and Excel as your primary data interrogation tools to find exceptional, irregular, and anomalous records. |
| data analytics in tax accounting: Reshaping Power Dynamics Between Sustainable Growth and Technical Disruption Alina Mihaela Dima, |
| data analytics in tax accounting: Forensic Analytics Mark J. Nigrini, 2020-04-20 Become the forensic analytics expert in your organization using effective and efficient data analysis tests to find anomalies, biases, and potential fraud—the updated new edition Forensic Analytics reviews the methods and techniques that forensic accountants can use to detect intentional and unintentional errors, fraud, and biases. This updated second edition shows accountants and auditors how analyzing their corporate or public sector data can highlight transactions, balances, or subsets of transactions or balances in need of attention. These tests are made up of a set of initial high-level overview tests followed by a series of more focused tests. These focused tests use a variety of quantitative methods including Benford’s Law, outlier detection, the detection of duplicates, a comparison to benchmarks, time-series methods, risk-scoring, and sometimes simply statistical logic. The tests in the new edition include the newly developed vector variation score that quantifies the change in an array of data from one period to the next. The goals of the tests are to either produce a small sample of suspicious transactions, a small set of transaction groups, or a risk score related to individual transactions or a group of items. The new edition includes over two hundred figures. Each chapter, where applicable, includes one or more cases showing how the tests under discussion could have detected the fraud or anomalies. The new edition also includes two chapters each describing multi-million-dollar fraud schemes and the insights that can be learned from those examples. These interesting real-world examples help to make the text accessible and understandable for accounting professionals and accounting students without rigorous backgrounds in mathematics and statistics. Emphasizing practical applications, the new edition shows how to use either Excel or Access to run these analytics tests. The book also has some coverage on using Minitab, IDEA, R, and Tableau to run forensic-focused tests. The use of SAS and Power BI rounds out the software coverage. The software screenshots use the latest versions of the software available at the time of writing. This authoritative book: Describes the use of statistically-based techniques including Benford’s Law, descriptive statistics, and the vector variation score to detect errors and anomalies Shows how to run most of the tests in Access and Excel, and other data analysis software packages for a small sample of the tests Applies the tests under review in each chapter to the same purchasing card data from a government entity Includes interesting cases studies throughout that are linked to the tests being reviewed. Includes two comprehensive case studies where data analytics could have detected the frauds before they reached multi-million-dollar levels Includes a continually-updated companion website with the data sets used in the chapters, the queries used in the chapters, extra coverage of some topics or cases, end of chapter questions, and end of chapter cases. Written by a prominent educator and researcher in forensic accounting and auditing, the new edition of Forensic Analytics: Methods and Techniques for Forensic Accounting Investigations is an essential resource for forensic accountants, auditors, comptrollers, fraud investigators, and graduate students. |
| data analytics in tax accounting: The Routledge Handbook of Accounting Information Systems Erik Strauss, Martin Quinn, 2022-11-25 The Routledge Handbook of Accounting Information Systems is a prestige reference work offering a comprehensive overview of the state of current knowledge and emerging scholarship in the discipline of AIS. The pace of technological-driven change is rapid, and this revised edition provides a deeper focus on the technical underpinnings and organisational consequences of accounting information systems. It has been updated to capture the changes in technology since the previous edition. It now includes chapters and scholarly thought on artificial intelligence, predictive analytics and data visualisation, among others. Contributions from an international cast of authors provide a balanced overview of established and developing themes, identifying issues and discussing relevant debates. The chapters are analytical and engaging. Many chapters include cases or examples, and some provide additional resources for readers. The chapters also provide a reflection on where the research agenda is likely to advance in the future. This is a complete and indispensable guide for students and researchers in accounting and accounting information systems, academics and students seeking convenient access to an unfamiliar area, as well as established researchers seeking a single repository on the current debates and literature in the field. |
| data analytics in tax accounting: Core Concepts of Accounting Information Systems Mark G. Simkin, James L. Worrell, Arline A. Savage, 2018-02-13 Accounting Information systems (AIS) have become indispensable in the field, and this book provides clear guidance for students or professionals needing to get up to speed. Designed to suit a one-semester AIS course at the graduate, undergraduate, or community college level, Core Concepts of Accounting Information Systems explores AIS use and processes in the context of modern-day accounting. Coverage includes conceptual overviews of data analytics, accounting, and risk management, as well as detailed discussion of business processes, cybercrime, database design and more to provide a well-rounded introduction to AIS. Case studies reinforce fundamental concepts using real-world scenarios that encourage critical thinking, while AIS-at-Work examples illustrate complex procedures or concepts in everyday workplace situations. Test Yourself questions allow students to gauge their level of understanding, while End of Chapter questions stimulate application of new skills through problems, cases, and discussion questions that facilitate classroom dialogue. Practical, current, relevant, and grounded in everyday application, this book is an invaluable resource for students of managerial accounting, tax accounting, and compliance. |
| data analytics in tax accounting: Global Competitiveness: Business Transformation in the Digital Era Ade Gafar Abdullah, Isma Widiaty, Cep Abdullah, 2019-07-09 The proceedings of the Economics and Business Competitiveness International Conference (EBCICON) provides a selection of papers, either research results or literature reviews, on business transformation in the digital era. Nine major subject areas, comprising accounting and governance, customer relations, entrepreneurship, environmental issues, finance and investment, human capital, industrial revolution 4.0, international issues, and operations and supply chain management are presented in the proceedings. These papers will provide new insights into the knowledge and practice of business and economics in the digital era. Therefore, parties involved in business and economics such as academics, practitioners, business leaders, and others will be interested in the contents of the proceedings. |
| data analytics in tax accounting: Tech Horizons Azman Ismail, |
| data analytics in tax accounting: Accounting and Auditing Research Thomas R. Weirich, Thomas C. Pearson, Natalie Tatiana Churyk, 2020-09-29 Accounting and Auditing Research, 10th Edition prepares students and early-stage practitioners to use well-established research solutions in a broad range of practical applications, from financial accounting and tax planning, to investigating fraud and auditing various business problems. Emphasizing real-world skills development, this fully-updated textbook covers the current tools, techniques, and best practices in applied professional research and analysis. The authors provide comprehensive yet accessible coverage of the entire research process, explaining how to utilize major research databases and audit software packages in a clear and systematic manner. The tenth edition features carefully revised content designed to enhance effectiveness, increase readability, and strengthen learning and retention. The book’s classroom-proven pedagogy features expert tips for performing common research tasks, sidebar boxes that summarize and expand upon key concepts, and a variety of end-of-chapter exercises that reinforce the material and develop readers’ skills. |
| data analytics in tax accounting: Handbook of Big Data and Analytics in Accounting and Auditing Tarek Rana, Jan Svanberg, Peter Öhman, Alan Lowe, 2023-02-03 This handbook collects the most up-to-date scholarship, knowledge, and new developments of big data and data analytics by bringing together many strands of contextual and disciplinary research. In recent times, while there has been considerable research in exploring the role of big data, data analytics, and textual analytics in accounting, and auditing, we still lack evidence on what kinds of best practices academics, practitioners, and organizations can implement and use. To achieve this aim, the handbook focuses on both conventional and contemporary issues facing by academics, practitioners, and organizations particularly when technology and business environments are changing faster than ever. All the chapters in this handbook provide both retrospective and contemporary views and commentaries by leading and knowledgeable scholars in the field, who offer unique insights on the changing role of accounting and auditing in today’s data and analytics driven environment. Aimed at academics, practitioners, students, and consultants in the areas of accounting, auditing, and other business disciplines, the handbook provides high-level insight into the design, implementation, and working of big data and data analytics practices for all types of organizations worldwide. The leading scholars in the field provide critical evaluations and guidance on big data and data analytics by illustrating issues related to various sectors such as public, private, not-for-profit, and social enterprises. The handbook’s content will be highly desirable and accessible to accounting and non-accounting audiences across the globe. |
| data analytics in tax accounting: Benford's Law Mark J. Nigrini, 2012-03-09 A powerful new tool for all forensic accountants, or anyone whoanalyzes data that may have been altered Benford's Law gives the expected patterns of the digits in thenumbers in tabulated data such as town and city populations orMadoff's fictitious portfolio returns. Those digits, in unaltereddata, will not occur in equal proportions; there is a large biastowards the lower digits, so much so that nearly one-half of allnumbers are expected to start with the digits 1 or 2. Thesepatterns were originally discovered by physicist Frank Benford inthe early 1930s, and have since been found to apply to alltabulated data. Mark J. Nigrini has been a pioneer in applyingBenford's Law to auditing and forensic accounting, even before hisgroundbreaking 1999 Journal of Accountancy article introducing thisuseful tool to the accounting world. In Benford's Law, Nigrinishows the widespread applicability of Benford's Law and itspractical uses to detect fraud, errors, and other anomalies. Explores primary, associated, and advanced tests, all describedwith data sets that include corporate payments data and electiondata Includes ten fraud detection studies, including vendor fraud,payroll fraud, due diligence when purchasing a business, and taxevasion Covers financial statement fraud, with data from Enron, AIG,and companies that were the target of hedge fund short sales Looks at how to detect Ponzi schemes, including data on Madoff,Waxenberg, and more Examines many other applications, from the Clinton tax returnsand the charitable gifts of Lehman Brothers to tax evasion andnumber invention Benford's Law has 250 figures and uses 50 interestingauthentic and fraudulent real-world data sets to explain boththeory and practice, and concludes with an agenda and directionsfor future research. The companion website adds additionalinformation and resources. |
| data analytics in tax accounting: Rethinking commerce education in South Africa Elsabé Loots , Johan Oberholster , 2023-04-29 This book aims to advance the knowledge on the future of business education in South Africa and to allow all relevant role players (universities and industry) the opportunity to debate and share ideas on how to best position business education to optimally serve the interest of students and the dynamic changes taking place in the world of work. Although some of these changes have taken shape before 2020, the COVID-19 pandemic has accelerated the need and pace for change. If business schools (in our context, faculties of economic and management sciences) do not adapt rapidly, they will be left behind by other up-and-coming industry providers. The research scope covers all business-related undergraduate and postgraduate economics, management and accounting programmes, excluding MBA programmes. |
| data analytics in tax accounting: Accounting Information Systems Arline A. Savage, Danielle Brannock, Alicja Foksinska, 2024-01-08 |
| data analytics in tax accounting: The Past, Present, and Future of Accountancy Education and Professions Dorata, Nina T., Jones, Richard C., Mensche, Jennifer, Ulrich, Mark M., 2023-06-19 Accountancy provides a significant role and impact on the public and private sectors through its various disciplines and specialties. Trust in human and technological interactions is a primary objective of public accounting. Accountancy provides the strategic capability to access and interpret organizational performance. Therefore, because of its impactful role, it is important to understand and project how accountancy will change as a profession. As accountancy continuously evolves, it mandates agility among stakeholders, particularly those in education and the professions. The Past, Present, and Future of Accountancy Education and Professions broadly covers the ways accountancy will require new roles and knowledge for its constituents in the emerging future. The book explores how technological, educational, professional, and societal changes will transform accountancy. Covering topics such as business demands, professional competencies, and student success, this premier reference source is an excellent resource for financial reporters, financial advisors, auditors, accountants, administrators and educators of both K-12 and higher education, students of higher education, pre-service teachers, librarians, researchers, and academicians. |
| data analytics in tax accounting: Digital Transformation in Accounting Richard Busulwa, Nina Evans, 2021-05-30 Digital Transformation in Accounting is a critical guidebook for accountancy and digital business students and practitioners to navigate the effects of digital technology advancements, digital disruption, and digital transformation on the accounting profession. Drawing on the latest research, this book: Unpacks dozens of digital technology advancements, explaining what they are and how they could be used to improve accounting practice. Discusses the impact of digital disruption and digital transformation on different accounting functions, roles, and activities. Integrates traditional accounting information systems concepts and contemporary digital business and digital transformation concepts. Includes a rich array of real-world case studies, simulated problems, quizzes, group and individual exercises, as well as supplementary electronic resources. Provides a framework and a set of tools to prepare the future accounting workforce for the era of digital disruption. This book is an invaluable resource for students on accounting, accounting information systems, and digital business courses, as well as for accountants, accounting educators, and accreditation / advocacy bodies. |
| data analytics in tax accounting: How to Be an Accountant Simon Meadows, Unlock the door to a rewarding and dynamic career in accounting with How to Be an Accountant. This comprehensive guide serves as both a textbook and a course, meticulously designed to equip you with the knowledge and skills needed to excel in the accounting profession. Covering everything from the fundamental principles of accounting to the latest trends in technology and international standards, this book offers a deep dive into all aspects of accounting. With detailed chapters on financial and managerial accounting, auditing, tax accounting, and more, you will gain a thorough understanding of the diverse areas within the field. Each chapter is divided into easily digestible sections, making complex concepts accessible and providing practical insights through real-world case studies. Whether you're a student aspiring to join the accounting profession, a professional looking to enhance your expertise, or a business owner aiming to better understand financial management, How to Be an Accountant is your essential resource for mastering the art and science of accounting. |
| data analytics in tax accounting: Advances in Accounting Education Thomas G. Calderon, 2019-10-07 This volume of Advances in Accounting Education consists of three themes: (1) Capacity Building and Program Leadership, (2) Classroom Innovation and Pedagogy, and (3) Engagement with Professionals Through Advisory Councils. |
| data analytics in tax accounting: Innovative Computing Vol 1 - Emerging Topics in Artificial Intelligence Jason C. Hung, Jia-Wei Chang, Yan Pei, 2023-06-02 This book comprises select peer-reviewed proceedings of the 6th International Conference on Innovative Computing (IC 2023). The contents focus on communication networks, business intelligence and knowledge management, web intelligence, and fields related to the development of information technology. The chapters include contributions on various topics such as databases and data mining, networking and communications, web and Internet of Things, embedded systems, soft computing, social network analysis, security and privacy, optical communication, and ubiquitous/pervasive computing. This volume will serve as a comprehensive overview of the latest advances in information technology for those working as researchers in both academia and industry. |
| data analytics in tax accounting: Alteryx for Accounting, Tax and Finance Professionals Trent Green, 2021-01-19 Dealing with massive amounts of messy data as part of Microsoft Excel(TM) calculations has traditionally been an enormously labor-intensive and time-consuming challenge for accounting, tax and finance professionals. This book explains how Alteryx(TM) can be used to address these challenges in a progressive, fully illustrated manner.- Learn how to import data from Excel and other sources into Alteryx using the Input Data tool.- Develop Alteryx workflows to quickly and systemically organize, format, cleanse and analyze large amounts of data using tools such as Select Records, Dynamic Rename, Select, Filter, Unique, Text to Columns, DateTime and several others.- Cleanly and accurately combine separate datasets using the Join and Union Tools.- Learn advanced techniques for manipulating data presented in rows and columns using the CrossTab and Transpose tools.- Use the Summarize tool to perform calculations and to aggregate data in rows.- Export data that you've cleaned and organized to Excel using the Output Data tool for further computations and analysis.- Review methods and techniques for taking advantage of the speed and power of Alteryx while simultaneously strengthening internal controls.All of the material presented in this book is explained in the context of financial and other examples that matter to accounting, tax and finance professionals. If you've been searching for a better, faster and more accurate way to organize large amounts of data that feed into and support complex Excel calculations, this is the guide you've been looking for! |
| data analytics in tax accounting: Organizational Behavior and Human Resource Management for Complex Work Environments Belias, Dimitrios, Rossidis, Ioannis, Papademetriou, Christos, 2024-07-10 Navigating the complexities of organizational behavior and human resource management can be daunting in today's fast-paced workplaces. The ever-changing landscape, driven by technological advancements and evolving employee expectations, challenges professionals and academics alike. Many struggle to fully grasp and adapt to these shifts, which can lead to low employee engagement, ineffective leadership, and ethical dilemmas. What is needed now is a comprehensive solution that provides insights and strategies to address these challenges head-on. Organizational Behavior and Human Resource Management for Complex Work Environments takes on this role, and delves into critical topics such as leadership, employee well-being, team dynamics, and ethical decision-making. By exploring these subjects, readers gain a deeper understanding of the intricacies of modern workplaces and how to navigate them effectively. The book bridges the gap between theory and practice, offering actionable insights applied in real-world scenarios. It is a valuable resource for professionals looking to enhance their skills and knowledge in organizational behavior and human resource management. |
| data analytics in tax accounting: Taxation for Business: Navigating the Complex Landscape Cybellium, Welcome to the forefront of knowledge with Cybellium, your trusted partner in mastering the cutting-edge fields of IT, Artificial Intelligence, Cyber Security, Business, Economics and Science. Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com |
| data analytics in tax accounting: Digital Technologies in the New Socio-Economic Reality Svetlana Igorevna Ashmarina, Valentina Vyacheslavovna Mantulenko, 2021-11-16 This book contains contributions from the IX International Scientific Conference “Digital Transformation of the Economy: Challenges, Trends and New Opportunities,” which was organized by Samara State University of Economics (SSEU, Samara, Russia), 2021, and devoted to the 90th anniversary of this higher education institution. Digital technologies became even more in demand during the pandemic, when companies, state authorities, and educational organizations were forced to switch to a remote format of work. The “forced” digitization of the usual ways of activity required rapid and decisive changes. Understanding the ongoing digital transformation implies the relevance of further in-depth research of this issue in the context of various socioeconomic systems, interdisciplinary interactions, and cooperation between scientists and practitioners. The book is an attempt to analyze these changes and consider them from the point of view of various scientific areas (economics, management, education, law, sociology, and others). This book addresses theoretical and practical aspects by studying the digital technology application in terms of the new socioeconomic reality development: big data in the digital economy, data collection and exchange, artificial intelligence, intelligent communications, digital platforms and strategies for the sustainable development of socioeconomic systems, and new requirements of professional and business education. It provides significant value for scientists, teachers, and students of higher educational institutions. |
| data analytics in tax accounting: Impact of Digitalization on Reporting, Tax Avoidance, Accounting, and Green Finance Alqatan, Ahmad, Hussainey, Khaled, Hamed, Mounira, Benameur, Kameleddine, 2024-04-01 Digital era reporting undergoes a seismic shift as automation takes center stage. The transition from manual reporting to real-time automated systems enhances precision and efficiency and reduces errors, empowering decision-makers. However, this era of digital reporting brings forth a new set of challenges, from data security and privacy concerns to the imperative need for robust cybersecurity measures. Impact of Digitalization on Reporting, Tax Avoidance, Accounting, and Green Finance delves into this transformative wave, comprehensively exploring its consequences on these critical domains. The book meticulously dissects both the positive and negative repercussions, encapsulating the challenges and opportunities that arise in this era of digital metamorphosis. Navigating tax avoidance in a digitalized world unveils a complex dynamic. Digitalization, on the one hand, empowers tax authorities to access and analyze vast datasets, making it challenging for businesses to engage in tax evasion. On the other hand, sophisticated digital tools provide fertile ground for corporations to devise intricate tax avoidance schemes. Striking a balance becomes paramount, necessitating regulatory measures and international cooperation while addressing ethical dimensions in leveraging technology for tax strategies. The book offers a nuanced understanding of the intricate relationship between digitalization and these critical domains, from business professionals and financial analysts to regulatory bodies and sustainability advocates. |
| data analytics in tax accounting: Auditing Raymond N. Johnson, Laura Davis Wiley, Robyn Moroney, Fiona Campbell, Jane Hamilton, 2019-05-20 The explosion of data analytics in the auditing profession demands a different kind of auditor. Auditing: A Practical Approach with Data Analytics prepares students for the rapidly changing demands of the auditing profession by meeting the data-driven requirements of today's workforce. Because no two audits are alike, this course uses a practical, case-based approach to help students develop professional judgement, think critically about the auditing process, and develop the decision-making skills necessary to perform a real-world audit. To further prepare students for the profession, this course integrates seamless exam review for successful completion of the CPA Exam. |
| data analytics in tax accounting: Towards Digitally Transforming Accounting and Business Processes Tankiso Moloi, Babu George, 2024-01-11 This conference volume discusses the findings of the iCAB 2023 conference that took place in Johannesburg, South Africa. The University of Johannesburg (UJ School of Accounting and Johannesburg Business School) in collaboration with Alcorn State University (USA), Salem State University (USA) and Universiti Teknologi Mara (Malaysia) hosted the iCAB 2023 conference with the aim to bring together researchers from different Accounting and Business Management fields to share ideas and discuss how new disruptive technological developments are impacting the field of accounting. The conference was sponsored by the Association of International Certified Professional Accountants AICPA & CIMA. |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
