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دانشجوعلاقه‌مند یادگیری
کتابخوان حرفه‌ایلذت مطالعه
نویسندهالهام‌گیری

SAP Analytics Cloud: Financial Planning and Analysis (SAP PRESS)

Satwik Das, Marius Berner, Suvir Shahani, Ankit Harish

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نسخه اصلی و اورجینال

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تحویل فوری
پرداخت امن
ضمانت فایل
پشتیبانی

مشخصات کتاب

سال انتشار
۲۰۲۲
فرمت
RAR
زبان
انگلیسی
حجم فایل
۲۷٫۶ مگابایت
شابک
9781493219346، 9781493222360، 1493219340، 1493222368

دربارهٔ کتاب

FP&A is now in the cloud! In this comprehensive guide, begin by provisioning your data for financial planning and analysis in SAP Analytics Cloud. Then follow step-by-step instructions to set up the planning process and use SAP Analytics Cloud’s automated planning logic to calculate key metrics. Learn how to perform simulations to model what-if scenarios, streamline your planning workflow, and share results with stakeholders. With details on implementation best practices, this is your all-in-one resource! Master financial planning, budgeting, and forecasting in SAP Analytics Cloud with step-by-step instructions Connect to source systems and model financial planning data Run automatic planning logic, simulations, and what-if analysis for your organization Defining and Modeling Data Provision and model your FP&A data in SAP Analytics Cloud. Evaluate and configure source connectors, step by step; then model your data metrics and dimensions for planning and analysis. Planning Process Get planning up and running! Manage your planning versions and inject your own inputs and assumptions into SAP Analytics Cloud. Learn how to run driver-based planning and perform allocations and currency conversion. Data Analysis Assess your financial data in SAP Analytics Cloud. Explore your reporting and analysis options, use simulations for what-if analysis, and leverage augmented analytics capabilities and predictive scenarios. Data modeling Planning versions and inputs Automated planning Planning allocations Currency conversion Reporting What-if analysis Simulations Planning workflows Stakeholder groups Implementation Discover the next generation of BI with this guide to SAP Analytics Cloud! Get your data into the system and see which data models to use in which situations. Next, learn about stories--how to create visualizations for them, publish them, and enhance them. With information on using SAP Analytics Cloud for financial planning, predictive analytics, dashboard creation, and more, this book is your one-stop shop! Highlights include: 1) Data modeling 2) Stories 3) Visualizations 4) Dashboards 5) Financial planning 6) Predictive analytics 7) SAP Analytics Cloud, analytics designer 8) SAP Digital Boardroom 9) SAP Analytics Hub 10) Data integration 11) ConfigurationHighlights include:1) Data modeling2) Stories3) Visualizations4) Dashboards5) Financial planning6) Predictive analytics7) SAP Analytics Cloud, analytics designer8) SAP Digital Boardroom9) SAP Analytics Hub10) Data integration11) Configuration "Discover the next generation of BI with this guide to SAP Analytics Cloud! Get your data into the system and see which data models to use in which situations. Next, learn about stories-how to create visualizations for them, publish them, and enhance them. With information on using SAP Analytics Cloud for financial planning, predictive analytics, dashboard creation, and more, this book is your one-stop shop!"-- Provided by publisher Discover the next generation of BI with this guide to SAP Analytics Cloud! Get your data into the system and see which data models to use in which situations. Next, learn about stories how to create visualizations for them, publish them, and enhance them. With information on using SAP Analytics Cloud for financial planning, predictive analytics, dashboard creation, and more, this book is your one-stop shop! Discover the next generation of BI with this guide to SAP Analytics Cloud. Get your data into the system and see which data models to use in which situations. Learn about stories - how to create visualizations, publish them, and enhance them. Includes information on using SAP Analytics Cloud for financial planning, predictive analytics, and more.

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