Explore reports, dashboards, and analytics, guided by IBCS standards, and discover how SAP Analytics Cloud supports planning, simulation, prediction, and augmented analytics for smarter decisions.

Define a data model as dimensions and facts, with entities like customers, products, and stores and their attributes such as billing date and sales representative, linked by transactions.

Explore how dimensions work across SAP BW, SAP Analytics Cloud, and databases, including public and private dimensions and currency properties in organizational, generic, and account types.

Master the steps to build a SAC planning model through hands-on practice, translating planning concepts into a practical, robust framework.

Build the planning dashboard by modeling a sales planning framework with six tabs and identify three dimensions—public dimension account, public dimension entity (organization), and private dimension product.

Explore account dimension promo within SAC planning and gain hands-on practice to apply the concepts taught in this complete course.

Learn the fundamentals of accounting and account dimension, including recording transactions in the general ledger, creating financial statements, and analyzing five account types to guide SSE planning.

Create an account dimension in SAC aligned with SAP GL accounts, using account type to map revenue and expenses, and build a hierarchical data model for operational costs.

Explore system generated date and version dimensions, with hierarchies from year to month and categories: actual, budget, plan, forecast, and rolling forecast, through hands-on dashboard building.

Design a SAC planning model with import data from a flat file, compare new and classic models, and apply account dimension or measure-based design using an acquired connection.

Create a planning model from a flat file by adding public and private dimensions (account, entity, product), and define measures, hierarchies, and properties for planning.

Load data into the sales planning model via data management, import the sales transaction actual data, apply transformations on time dimension, map dimensions, and prepare a planning dashboard.

Explore rolling forecast layouts that mix actual and forecast data using cutover dates for short-term planning and material planning; learn how cutover dates determine what counts as actual versus forecast.

Create a sales planning dashboard, switch to rolling forecast and forecast layouts, and analyze actual versus forecast with months back and forward and cutover date.

Explore the value derivatory (VDT) in SAP Analytics Cloud for forecasting via drivers and calculations using what-if analysis, showing how price, growth, discounts, and quantity affect net sales and profit.

Build a value driver tree (VTE) model for the fourth use case using entity, account, and product dimensions with hierarchies, then create a planning model and calendar in SEC.

Explore data actions to automate copying data across versions and models, including allocation and currency conversion, using an HR example to reproduce labor hours and rates across the year.

Build hrda model in sap analytics cloud with cost center and area dimensions, labor hours and labor rates measures, using a data action enabled story to copy data across months.

Create a data action to copy data for cost centers using source and target month parameters, with default HRDA model, then run and monitor it in the planning dashboard.

Copy data from the HR model to the expenses model for finance via a cross-model data action, then build currency and account dimensions and define a value measure.

Learn currency conversion with data actions at the model and store levels, converting local currency to euro or USD, and use the story level dynamic level with a variable.

Enable currency conversion in SAC planning by configuring the currency table, selecting euro as the source and usd as the target, and loading data via a data action.

Create a model from a part file, save it in the public folder for the project, then build a dashboard and story in SAC, managing measures, dimensions, and calculations.

Learn to create KPI stories in SAC with bar, column, waterfall, and tree map visuals, rank top five products, and implement dynamic averages and trail-based regional drill-downs.

Explore agent-decay and ask agent-decay, train and sync your model, and index it. Create charts with cross margin and region patterns using prompts and the hdpi tool.