Author: Vernon J. RichardsonPublisher:
ISBN: 9789813158337
Category : Accounting
Languages : en
Pages : 343
Book Description
Author: Vernon J. RichardsonData and Analytics in Accounting
Author: Ann C. DzuraninPublisher: John Wiley & Sons
ISBN: 1119722993
Category : Business & Economics
Languages : en
Pages : 658
Book Description
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.
Analytics and Big Data for Accountants
Author: Jim LindellPublisher: John Wiley & Sons
ISBN: 111978462X
Category : Computers
Languages : en
Pages : 224
Book Description
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
Analytics and Big Data for Accountants
Author: Jim LindellPublisher: John Wiley & Sons
ISBN: 1119512379
Category : Computers
Languages : en
Pages : 200
Book Description
Analytics is the new force driving business. Tools have been created to measure program impacts and ROI, visualize data and business processes, and uncover the relationship between key performance indicators, many using the unprecedented amount of data now flowing into organizations. Featuring updated examples and surveys, this dynamic book covers leading-edge topics in analytics and finance. It is packed with useful tips and practical guidance you can apply immediately. This book prepares accountants to: Deal with major trends in predictive analytics, optimization, correlation of metrics, and big data. Interpret and manage new trends in analytics techniques affecting your organization. Use new tools for data analytics. Critically interpret analytics reports and advise decision makers.
Handbook of Big Data and Analytics in Accounting and Auditing
Author: Tarek RanaPublisher: Springer Nature
ISBN: 9811944601
Category : Business & Economics
Languages : en
Pages : 564
Book Description
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.
Loose Leaf for Data Analytics for Accounting
Author: Vernon RichardsonPublisher: McGraw-Hill Companies
ISBN: 9781264457328
Category :
Languages : en
Pages : 640
Book Description
Data Analytics is changing the business world--data simply surrounds us, which means all accountants must develop data analytic skills to address the needs of the profession in the future. Data Analytics for Accounting 3e is designed to prepare your students with the necessary tools and skills they need to successfully perform data analytics through a conceptual framework and hands-on practice with real-world data. Using the IMPACT Cycle, the authors provide a conceptual framework to help students think through the steps needed to provide data-driven insights and recommendations. Once students understand the foundation of providing data-driven insights, they are then provided hands-on practice with real-world data sets and various data analysis tools which students will use throughout the rest of their career. The data analysis tools are structured around two tracks--the Microsoft track (Excel, Power Pivot, and Power BI) and a Tableau track (Tableau Prep and Tableau Desktop). Using multiple tools allows students to learn which tool is best suited for the necessary data analysis, data visualization, and communication of the insights gained. Data Analytics for Accounting 3e is a full-course data analytics solution guaranteed to prepare your students for their future careers as accountants.
Self-Service Data Analytics and Governance for Managers
Author: Nathan E. MyersPublisher: John Wiley & Sons
ISBN: 1119773318
Category : Business & Economics
Languages : en
Pages : 352
Book Description
Project governance, investment governance, and risk governance precepts are woven together in Self-Service Data Analytics and Governance for Managers, equipping managers to structure the inevitable chaos that can result as end-users take matters into their own hands Motivated by the promise of control and efficiency benefits, the widespread adoption of data analytics tools has created a new fast-moving environment of digital transformation in the finance, accounting, and operations world, where entire functions spend their days processing in spreadsheets. With the decentralization of application development as users perform their own analysis on data sets and automate spreadsheet processing without the involvement of IT, governance must be revisited to maintain process control in the new environment. In this book, emergent technologies that have given rise to data analytics and which form the evolving backdrop for digital transformation are introduced and explained, and prominent data analytics tools and capabilities will be demonstrated based on real world scenarios. The authors will provide a much-needed process discovery methodology describing how to survey the processing landscape to identify opportunities to deploy these capabilities. Perhaps most importantly, the authors will digest the mature existing data governance, IT governance, and model governance frameworks, but demonstrate that they do not comprehensively cover the full suite of data analytics builds, leaving a considerable governance gap. This book is meant to fill the gap and provide the reader with a fit-for-purpose and actionable governance framework to protect the value created by analytics deployment at scale. Project governance, investment governance, and risk governance precepts will be woven together to equip managers to structure the inevitable chaos that can result as end-users take matters into their own hands.
Accounting Information Systems
Author: Arline A. SavagePublisher: John Wiley & Sons
ISBN: 1119744474
Category : Business & Economics
Languages : en
Pages : 818
Book Description
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.
Loose Leaf for Data Analytics for Accounting
Author: Vernon Richardson, ProfessorPublisher: McGraw-Hill Education
ISBN: 9781260375152
Category : Business & Economics
Languages : en
Pages : 0
Book Description
Data Analytics in Accounting is designed to prepare your students with the necessary tools and skills they need to successfully perform data analytics. Using Isson's data analytics model, the IMPACT Cycle, the authors provide a conceptual framework to help students think through the steps needed to provide data-driven insights and recommendations. Integrated in each chapter, labs provide multiple datasets and tutorials to give students hands-on experience working with different types of data and the tools used to analyze it. Students will conduct data analysis using Excel, Access (including SQL), Tableau, IDEA, XBRL, and Weka. And with Connect, an easy-to-use homework and learning management solution that embeds learning science and award-winning adaptive tools to improve student outcomes, instructors receive an innovative course solution that includes cutting-edge content and assessment paired with assignments that help students build the skills they need to succeed.
