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Accounting --- Data processing --- 657 --- 657 Accountancy --- Accountancy --- Automated accounting systems --- Computerized accounting systems --- Machine accounting --- Accounting - Data processing

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Accounting --- Automated accounting systems --- Computerized accounting systems --- Machine accounting --- Data processing. --- Microsoft Dynamics GP. --- Data processing --- E-books

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This book offers a comprehensive introduction to SAP ERP Profit Center Accounting (PCA) for both classic general ledger (GL) and the new GL. Get the tools you need to set profitability targets for business (planning) and then compare actual results against those targets to improve overall profitability. Solidify your understanding of the difference between PCA and SAP Controlling Profitability Analysis (CO-PA) views. Gain in-depth knowledge of the concepts, objects, and functionality available in PCA in SAP ERP, including the relevant master data set-up, actual data flows, planning scenarios, and reporting options. Clarify the differences between PCA and CO-PA and understand when it is best to use each. Dive into profit center transfer pricing and obtain detailed configuration and set-up steps required for activation. By using practical examples, tips, and screenshots, the author brings readers up to speed on SAP Profit Center Accounting. - Fundamentals of SAP Profit Center Accounting (PCA)- Concepts, master data, actual data flow, and planning basics- Differences between PCA in classic and new GL- Reporting for Profit Center Accounting (PCA)

Accounting --- Automated accounting systems --- Computerized accounting systems --- Machine accounting --- Accountancy --- Business enterprises --- Commerce --- Commercial accounting --- Finance --- Financial accounting --- Business --- Bookkeeping --- Data processing --- E-books

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Accounting --- Information storage and retrieval systems --- 657 --- 681.37 --- Automated accounting systems --- Computerized accounting systems --- Machine accounting --- Data processing --- Bedrijfsboekhouding --- Informatiesystemen --- Data processing. --- Accounting.

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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. .

Accounting --- Big data. --- Data processing. --- Data sets, Large --- Large data sets --- Data sets --- Automated accounting systems --- Computerized accounting systems --- Machine accounting