The Complete SAP Analytics Cloud Course 2026

Discover, visualize, plan, and predict in a browser-based SaaS platform that unifies planning, predictive analytics, and business intelligence, built on SAP HANA Cloud.

Navigate SAP Analytics Cloud by exploring the home screen, core features, and the ability to create models and stories, with search to insight for quick, visual charts.

Create and share analytics and planning models from cloud or on-premise data, enable auditing and access controls, and build interactive stories with intelligent charts and linked dimensions.

Discover data visualization in SAP Analytics Cloud, using stories, charts, dashboards, and reports to deliver actionable insights with smart predict, smart assist, and geomap features.

Explore the SAP Analytics Cloud interface, log in, review system version, access help and community, customize profile, and navigate home, files, stories, data analyzer, digital boardroom, modeler, security, and notifications.

Import a well-structured Excel file into SAP Analytics Cloud to build analytical models with dimensions, measures, and hierarchies. Validate data integrity and set date and product hierarchies before visualization.

Access real time data from SAP Hana with SAP Analytics Cloud to build a live data model, configure time dimensions, and explore finance data via Data Analyzer.

Master basic story navigation in SAP Analytics Cloud by exploring interactive charts, maps, and filters, saving a personalized bookmark, and exporting stories to PDF.

Create a responsive data story in SAP Analytics Cloud using real-time data from your SAP HANA on premise system, featuring revenue by location and revenue by product charts.

Explore geo maps in SAP Analytics Cloud by defining location coordinates to enable geo enrichment, create the local dimension, and save the data model named first data model.

Explore how import and export jobs in the data management tab automate data updates in a model, including loading data and exporting to CSV, with scheduling and mappings.

Create a story in SAP Analytics Cloud using a canvas page to present data from your data model with charts, tables, and maps.

Learn how to choose the right chart type in SAP Analytics Cloud, from pie and stacked bar charts to trend, correlation, histogram, heat map, bubble, and waterfall visuals.

Format charts by adjusting fonts, colors, and axis scaling in the designer panel, and use Explorer for ad hoc insights on sales revenue per product category.

Apply filters to stories and pages in SAP Analytics Cloud, using input controls, widget filters, and date time dimension filters on charts to refine analysis.

Use in-story calculations to create story-specific measures in charts via the calculation editor, with four types—calculated measure, restricted measure, difference, and aggregation—applying formulas, conditions, and operators.

Create and configure a measure input control in SAP Analytics Cloud, selecting measures, defining the available options, and applying it to a chart to filter data and explore relationships.

Conditional formatting highlights trends and anomalies in SAP Analytics Cloud by applying thresholds to cells and charts. Build your data model and story, and learn filters, input control, and calculation.

Create a geo map in SAP Analytics Cloud using latitude and longitude data, add layers with Esri ArcGIS, and visualize sales revenue with heat map and choropleth colors.

Linked analysis blends data across models using a common dimension such as sales organization to preserve data integrity; filters affect only analysis charts, while selecting a data point updates charts.

Master data blending in SAP Analytics Cloud by linking a live SAP BW model with a local Excel file and visualizing them in a story.

Use SAP Analytics Cloud Data Analyzer to access live data from SAP BW and SAP HANA and create ad hoc insights with region, location, and sales measures.

Export SAP Analytics Cloud stories as pdf or export charts as csv or xls, using save as and export options, then download the pdf presentation.

Learn to collaborate directly in SAP Analytics Cloud by starting team discussions, inviting members, and posting targeted comments on a kpi chart within a story.

Schedule publications in SAP Analytics Cloud to automatically distribute story outputs to SAC users or up to three non-SAC recipients, with frequency, restart date, subject, recipients, and distribution definitions.

Learn to create and apply bookmarks in SAP Analytics Cloud to save the state of input controls, prompts, charts, tables, and geo filters for quick scenario switching and personalized views.

Evaluate SAP Analytics Cloud for SAP reporting and real-time data with seamless authorization; Power BI for non-SAP sources, advanced transformations, and rich visuals.

Leverage SAP Analytics Cloud smart assists to bring artificial intelligence and machine learning into data analysis, enabling smart insights, smart Discovery, time series forecasting, and smart grouping beyond traditional visualizations.

Discover how to use the Just Ask feature in SAP Analytics Cloud to generate a chart with natural language, copy it into a planning story, and enhance dashboards quickly.

Discover how SAP Analytics Cloud's search to insight lets you ask questions about your data in natural language, using indexing and autocomplete to create charts from measures and dimensions.

Explore smart discovery in SAP Analytics Cloud to uncover hidden patterns with machine learning on measures or dimensions, automatically generated charts, influencers, and what-if simulations.

Learn how smart discovery in SAC automatically builds a multi-page revenue story with simulations, forecasts, and key influencers, from selecting measures to saving and pinning tiles.

Explore smart insights in SAP Analytics Cloud to quickly identify top contributors behind data points, understand root causes of revenue variance, and empower citizen data scientists with actionable recommendations.

Navigate the front page, browse files, and choose a story to add smart insights in SAS. Add the insights to the canvas to present them.

Learn time series forecasting in SAP Analytics Cloud with triple exponential smoothing to predict future values, view forecast results and confidence bounds, and assess forecast quality on a five-point scale.

Insert R visualizations into SAP Analytics Cloud stories, interact with filters, edit scripts, and preview or share visuals, leveraging R as an open source language for statistical analysis.

Apply smart grouping to your sales data by automatically creating labeled segments across several measures in scatter or bubble charts, enabling easier classification and revealing the recommended number of groups.

Enable smart grouping to automatically analyze and group data points by similar properties. Select the story, choose a responsive page, pick a bubble chart, and insert measures.

Discover smartpredict in sap analytics cloud, delivering classification, regression, and time series predictions with built-in algorithms. Train models on training and application datasets and define target, signal, and time-dimension variables.

Structure datasets for smart predict, training with historical data and creating application and output datasets to train and apply regression, classification, and time series models for forecasting profits.

Access the file structure from the main menu and use the SAP analytics cloud repository to organize content with folders, move or copy files, and manage favorites, filters, and uploads.

Explore the SAP Analytics Cloud content network to manage lifecycle of artifacts, export and import content, and access ready-to-use business content for rapid analytics implementations.

Export models, connections, or stories by opening the data model, using the data management tab, and exporting as a file to a chosen folder via the share icon.

Discover SAP Analytics Cloud business content, a library of pre-built chassis models and reporting objects for industry-specific reporting, deployable via the content network with SAS enterprise licensing.

Explore SAP Analytics Cloud usage tracking, see how system logs user activities on models, dimensions, KPIs, stories and discussions, and use the monitor dashboard to audit licenses, memory, and traces.

Learn to use analytics designer in SAP Analytics Cloud to build dashboards, planning and predictive apps, define a data model, arrange widgets, and toggle chart and table views with scripts.

Learn to build an interactive scripted story in SAP Analytics Cloud that toggles sales revenue by region between chart and table with a radio button and a product category filter.

Learn to use the SAP Analytics Cloud mobile app to access stories and digital boardroom presentations on iOS or Android, with a responsive reporting layout and offline caching.

Utilize the SAP Analytics Cloud Excel add-in to connect, organize, and report on budgets, write back data, publish and revert versions, and use interactive pivoting in Excel.

Explain how traditional licensing limits scaling. Explore how SAC as a service provides private and public editions, memory up to one terabyte, and planning professional vs standard licenses.

Learn SAP Analytics Cloud’s shift to a quarterly release with fast track updates and build stories with smart, assist, and predict features, plus explore the digital boardroom for real-time decisions.

Explore the SAP digital boardroom interface for collaborative reporting and live data analysis, featuring three screens for overview, exploration, and context, plus planning, what-if simulations, and data exploration with drill-downs.

Learn to set up a digital boardroom in the SAP Analytics Cloud by creating an agenda, linking stories and pages, and scheduling meetings for live data presentations.

Create an agenda in a digital boardroom by adding an agenda title, presenter, time, and items, linking story pages and live data to support boardroom presentations.

Discover how SAP Analytics Hub unifies cloud and local analytics into a single tile-based catalog, enabling asset search, filtering, favorites, and role-based management.

Create a new asset in SAP Analytics Hub by entering title, tags, description, layout, and optional image, then save as a draft for all users and submit for validation.

Access the business catalog from the top left menu, a library of all created data models where admins view all models and others see only granted access.

Learn how to publish SAP Analytics Cloud content to the catalog, assign viewing teams, customize the card details with title, description, image, and links, and manage filters for admins.

Translate metadata stories, models, public dimensions, and catalog content using a common translation service. Enable translation in settings, export all strings, and re-import translated content to SAP Analytics Cloud.

Explore how SAC connects to data sources with native connectivity, eliminating external drivers. Compare local file import, data import, and live data connections, including cloud storage, latency, and security considerations.

Use the SAP Analytics Cloud deployment kit to streamline installation, automatically download from the SAP software download portal, and install Tomcat, Cloud Connector, and Analytics Cloud Agent.

Define role-based permissions in SAP Analytics Cloud, assign read, write, create, and delete rights to managers and content creators, and enable data access control for model dimensions.

Administrators monitor the system to identify usage and performance patterns, evaluate the current state, and compare it with historical information. Further reading helps deepen understanding of monitoring in SAC.

Define and implement a system administration model for SAP Analytics Cloud, configuring system settings, data sources, authentication, R configuration, and app integration while monitoring uptime, performance, resources, and security.

Explore how SAP Analytics Cloud combines BI capabilities, predictive analysis, and planning for budget allocation, forecasts, and what-if analysis, with ad hoc analysis, on-the-fly member creation, and forecasting options.

Explore manual input planning in SAP Analytics Cloud by copying a model, building a story, simulating data with private versions, applying disaggregation and cell locking, and publishing to forecast.

Create a currency conversion table in SAP Analytics Cloud by using the main menu, naming the table, copying data from the model xls currency sheet, and saving via the modeler.

Learn how public and private versions work in SAP Analytics Cloud planning models, manage access with data privileges, and use private versions to simulate values before publishing to public versions.

Create public and generic dimensions in SAP Analytics Cloud by defining organization and region types, adding IDs and descriptions, building parent-child hierarchies, and importing data from model.xlsx via data management.

Create a planning model in SAP Analytics Cloud, enabling budgets and forecasts with planning features. Learn to set up dimensions, hierarchies, currency conversion, and data import methods.

Create a story in SAP Analytics Cloud to explore data, visualize with grids and tables, and save planning insights after selecting the drill option on product group to level three.

Enable unbooked data to show empty cells for planning, adjust product group settings in the builder, exclude a selected file, then restore filters to include all members.

Create private versions in SAP Analytics Cloud to safely test scenarios, preserve the public data, and prevent overwriting, using copy, naming, and version management.

Click the three dots beside the table and select mass data entry. Enter 1000 in apparel and 500 in footwear, then process data to save and distribute to leaf nodes.

Lock cells to prevent plan values from changing and delegate data blocks to responsible owners. Use value lock management to create locks and set data status to restricted when needed.

copy and paste cell values across grids and tables in SAP Analytics Cloud, including member values and formulas, create references between cells, and paste details or overall values from Excel.

Publish a private version to public from version management panel by selecting publish as, naming the version and category, and making the public forecast version visible to all SAC users.

Distribute apparel 2020 values to date members one level below across quarters using the planning panel, choose the distribute option, overwrite target cells, and apply input weights.

Redistribute values in the planning panel to change proportions across a group of cells, using input weights and overwrite options, then apply the new target values.

Learn to model cost allocations with a flexible, driver-based rule engine in SAP Analytics Cloud, moving calculations to Hana Cloud for scalable, code-free profitability analysis across customers and products.

Create and execute an allocation process in SAP Analytics Cloud to move values from source dimension members to target dimension members, using steps, rules, keep source, and overwrite target.

Understand variance analysis by comparing original and revised budgets to identify planning and operational variances and examine reasons for changing standard costs.

Compare planned versus actual values and time-based or version-based variances to identify trends, issues, and opportunities, and learn to add a variance column with a formula in SAP Analytics Cloud.

Learn to create and edit formulas that calculate against constants or account-dimension members, using the advanced editor to build measures for models, tables, and stories.

Explore the formula editor to build formulas using functions, conditions, and operators, and learn to use inverse formulas to enable data entry for calculated cells in planning models.

Create calculations in SAP Analytics Cloud with formulas for modeled and story measures, including calculated and restricted measures, date differences, aggregations, converting dimensions to measures, and calendar planning.

Learn to organize collaboration in SAP Analytics Cloud by duplicating and sharing a story, then creating a calendar task with an assignee and reviewer and a 25/75 distribution.

Create and manage processes to organize tasks, set start and due dates, assign to a user, and review work files, time, attachments, and descriptions in the designer panel.

Create data actions to copy data within and across models, using copy steps, cross-model copy, and advanced formulas; schedule them in the calendar and trigger in stories or analytic apps.