此APP实施相关信息：
模块：UDF
GUI事务码：
功能描述：Analyze Forecast
OData服务：
UI5激活SAP应用：/sap/bc/ui5_ui5/sap/udf_analyzfcst
权限角色：：
此APP对SAP支持如下：
模块：Demand Planner (Retail);
版本：SAP Customer Activity Repository retail applications bundle
Required Back-End Product：Marketing
APP类型：Analytical（SAP Fiori (SAPUI5)）
数据库支持类型：HANA DB exclusive
此APP对BSP支持如下：
BSP名称：UDF_ANALYZFCST
BSP包：MCSA_UDF_ANALYZEFORECAST
BSP组件及版本：UISCAR01 100
BSP运用地址：/sap/bc/ui5_ui5/sap/udf_analyzfcst
APP使用行业：
Oil and Gas,Retail
Assist business users in achieving the best possible forecasts.Visualize forecasts, historical sales, demand influencing factors, and intermediate results to easily understand the generated forecasts.Visualize the data at different levels of aggregation (days and weeks).Gain better insight into forecast issues by understanding the root causes.Use this insight to optimize the configuration and improve forecast quality.Increase the trust of business users in the forecasting engine.Quickly access product and reference product details.Initiate follow-up actions by sharing the analysis results (such as, via email or SAP Jam).Support faster decision-making for business users.
摘要:The analytical app displays detailed demand modeling and forecasting information for performing in-depth analyses. You can compare the actual, modeled, and forecasted sales of a specific product in a specific location. The modeling and forecasting data that you can visualize is provided by the Unified Demand Forecast (UDF) module in SAP Customer Activity Repository. The app gives you a deeper understanding of the influencing factors that have gone into determining the forecasted unit sales. You can choose which factors you want to look at for your analysis and toggle between a daily and an aggregated weekly view of the data.Assist business users in achieving the best possible forecasts.Visualize forecasts, historical sales, demand influencing factors, and intermediate results to easily understand the generated forecasts.Visualize the data at different levels of aggregation (days and weeks).Gain better insight into forecast issues by understanding the root causes.Use this insight to optimize the configuration and improve forecast quality.Increase the trust of business users in the forecasting engine.Quickly access product and reference product details.Initiate follow-up actions by sharing the analysis results (such as, via email or SAP Jam).Support faster decision-making for business users.Controller hook triggered to update the settings for header and footer content,Allows you to add additional content on the main page ,Allows you to add additional content on the overview page,
