The Complete SAP Analytics Cloud (SAC) Course 2026

Explore SAP Analytics Cloud as a cloud platform for business intelligence, enterprise planning, and augmented analytics. Understand its main capabilities and the business needs SAC is designed to support.

Take a guided tour of the SAP Analytics Cloud interface and its main workspaces. Learn where to find content, models, stories, files, and frequently used SAC tools.

Understand the high-level architecture of SAP Analytics Cloud and how users, cloud services, data connections, models, and stories work together within an analytics solution.

Review how the remaining course sections connect across business intelligence, Smart Assist, content management, application development, Digital Boardroom, administration, and planning.

Explore the SAP Analytics Cloud business intelligence workflow, from accessing data and building models to creating stories, visualising results, collaborating, and sharing analytical content.

Explore the main SAP Analytics Cloud areas used for business intelligence. Identify where to access data, models, stories, files, and the tools required for analytics design.

Walk through the newer SAP Analytics Cloud navigation experience and locate its major functions. This lecture helps both new and returning users follow the later demonstrations.

Upload a sample dataset into SAP Analytics Cloud and review the initial data preparation workflow. Prepare the imported information for modelling, analysis, and story creation.

Explore how SAP Analytics Cloud can work with a live SAP HANA data model. Understand the live-data approach and its role in analysing governed source-system information.

Learn how to navigate an SAP Analytics Cloud story, move between pages, interact with visualisations, and use the main controls within the story workspace.

Build your first SAP Analytics Cloud data story from scratch. Select data, create a page, and add initial visualisations to establish a practical story-design foundation.

Understand what data modelling means in SAP Analytics Cloud and why model structure matters for analysis, calculations, reporting quality, and business interpretation.

Review the file-size consideration relevant to uploading data into SAP Analytics Cloud. Use this short lecture as a quick preparation reference before importing a source file.

Prepare geographic coordinates so location data can be displayed correctly in an SAP Analytics Cloud geo map. Understand the data requirement behind location-based visualisation.

Explore how import and export jobs support repeatable data movement in SAP Analytics Cloud. Understand when a saved job can reduce repetitive manual transfer work.

Create an SAP Analytics Cloud story and become familiar with the initial design workflow. Prepare a canvas for charts, tables, filters, and other analytical elements.

Distinguish dimensions from measures in SAP Analytics Cloud. Understand how each data type is used when building charts, tables, filters, and calculations.

Match common business questions with suitable SAP Analytics Cloud chart types. Consider comparison, trend, composition, relationship, and geographic analysis before choosing a visualisation.

Format an SAP Analytics Cloud chart to improve clarity and professional presentation. Apply practical design choices that help users understand the analytical message more quickly.

Apply basic filters to focus an SAP Analytics Cloud story on selected data. See how filters create more relevant views for different analytical questions and audiences.

Use advanced filter logic to narrow an SAP Analytics Cloud analysis more precisely. Extend beyond basic selections when a business question requires multiple filtering conditions.

Create calculations within an SAP Analytics Cloud story to derive additional analytical values. Understand when story-level calculations can answer questions without changing the underlying model.

Add a measure input control that allows users to switch the metric displayed in an analysis. Make an SAP Analytics Cloud story more interactive and reusable.

Understand how conditional formatting uses business rules and thresholds to highlight important values, exceptions, risks, or performance levels in an SAP Analytics Cloud analysis.

Apply conditional formatting to an SAP Analytics Cloud table or visualisation. Use visual signals to make favourable, unfavourable, or exceptional results easier to recognise.

Create a geo map in SAP Analytics Cloud and analyse data by location. Use geographic visualisation to uncover regional patterns that may be difficult to see in standard charts.

Use linked analysis to make multiple SAP Analytics Cloud visualisations respond to the same selection. Help story viewers explore relationships across charts and tables interactively.

Blend data for combined analysis within an SAP Analytics Cloud story. Understand the purpose of data blending and the matching requirements needed to relate different datasets.

Use Data Analyzer to explore data without first designing a complete story. Perform rapid slicing, drilling, comparison, and validation for ad hoc business analysis.

Share an SAP Analytics Cloud story with other users. Review the basic access considerations involved in making analytical content available for collaboration or consumption.

Use comments in an SAP Analytics Cloud story to discuss findings, provide context, and keep analytical conversations connected to the relevant data and visualisations.

Schedule SAP Analytics Cloud story publications for planned distribution. Understand how recurring delivery can make reports available to recipients at the required time.

Create bookmarks to save a preferred SAP Analytics Cloud story view. Return to selected filters, navigation states, and analytical perspectives without rebuilding the view.

Compare SAP Analytics Cloud and Microsoft Power BI at a high level. Review their positioning, capabilities, and common use cases without assuming one platform is best for every organisation.

Explore the augmented analytics capabilities available in SAP Analytics Cloud. Understand how AI-assisted features can help users ask questions, explain results, discover patterns, forecast outcomes, and accelerate analysis.

Use Just Ask to enter natural-language questions and receive analytical answers in SAP Analytics Cloud. See how conversational interaction can reduce the need to build every chart manually.

Review the setup required to enable Just Ask in SAP Analytics Cloud. Understand how tenant configuration, indexed content, and model quality influence the user experience.

Explore the role of Joule within SAP Analytics Cloud stories. See how SAP's AI assistant can help users interact with analytical content and obtain contextual assistance.

Use Search to Insights to turn a business question into an analytical result or visualisation. Understand why clear model metadata improves the quality of generated answers.

Understand why indexing is important for search-driven SAP Analytics Cloud features. Learn how searchable models and business terms support Just Ask and Search to Insights.

Explore Smart Discovery and the types of automated findings it can produce. Understand how it can support the investigation of relationships, drivers, and unexpected results.

Run a Smart Discovery analysis in SAP Analytics Cloud. Select an analytical target, review the generated findings, and use automated explanations as a starting point for investigation.

Understand how Smart Insights provides contextual information for a selected value or data point. Use it to begin exploring the factors behind a result, variance, or trend.

Use Smart Insights within an SAP Analytics Cloud visualisation. Select a data point and review the contextual explanation generated for that result.

Distinguish Smart Discovery from Smart Insights. Understand when to explore broader patterns across a dataset and when to investigate the context of a selected value.

Create a time-series forecast in SAP Analytics Cloud using historical data. Understand the basic setup and the role of data history, patterns, and assumptions in forecast quality.

Explore how R visualisations can extend SAP Analytics Cloud with additional statistical or graphical output. Understand where R-based analysis can complement standard SAC visualisations.

Understand how Smart Grouping can organise similar dimension members using patterns in the data. Explore the analytical purpose of automated segmentation before applying it.

Apply Smart Grouping in SAP Analytics Cloud and review the generated groups. Use the result to support comparison, segmentation, exploration, or targeted business analysis.

Explore the Smart Predict workflow in SAP Analytics Cloud, from selecting data and a target to training, evaluating, and applying a predictive scenario.

Build and evaluate a Smart Predict scenario using the supplied Superstore datasets. Review the modelling workflow, prediction output, and available model-quality information.

Review the datasets used in the Smart Predict exercise. Understand the distinction between data used to build the predictive scenario and data awaiting prediction.

Learn how SAP Analytics Cloud files and folders are organised. Understand how content structure supports access management, collaboration, maintenance, and easier discovery of analytical assets.

Review practical data-structure principles for SAP Analytics Cloud content. Use clear organisation to reduce duplication and make trusted models, stories, and resources easier to maintain.

Explore the SAP Analytics Cloud Content Network and its role in discovering, importing, and sharing packaged content. Understand how it supports content reuse across environments.

Review the basic SAP Analytics Cloud content-deployment process. Understand how related objects can be moved together and why dependencies, permissions, and target readiness matter.

Understand what business content means in SAP Analytics Cloud. Explore how prebuilt models, stories, and related assets can provide a starting point for implementation.

Explore SAP-provided business content for common industries and business functions. Identify reusable starting points that can reduce the need to build every analytics asset from zero.

Explore usage-tracking content in SAP Analytics Cloud. Review how activity and consumption information can support adoption analysis, platform governance, and administration.

Review the broader list of SAP Analytics Cloud usage-tracking content. Use this short lecture as a reference for identifying relevant adoption and monitoring views.

Explore Analytics Designer and understand when an interactive application may be more suitable than a standard SAP Analytics Cloud story. Review its design environment and application components.

Build an interactive scripted analytics experience in SAP Analytics Cloud. Combine interface elements and scripted behaviour to create a more controlled, task-oriented user journey.

Understand the role of scripts in an SAP Analytics Cloud analytics application. Learn how scripts can respond to user actions and control application components.

Explore the SAP Analytics Cloud mobile experience and how users can consume analytical content on supported mobile devices. Review the considerations involved in smaller-screen delivery.

Use device previews to review how SAP Analytics Cloud content appears across different screen sizes. Identify potential layout issues before publishing content for end users.

Explore the SAP Analytics Cloud add-in for Microsoft Excel. Understand how analytical and planning activities can be accessed through a familiar spreadsheet environment.

Review high-level SAP Analytics Cloud licensing considerations. Understand that available capabilities and access may depend on the licence assigned to a tenant or user.

Review the role of regional data centres in delivering SAP Analytics Cloud. Use this brief lecture as an orientation and confirm current hosting information separately.

Understand why SAP Analytics Cloud quarterly releases matter. Learn how product updates can affect features, navigation, administration, testing, and user adoption.

Understand the purpose of an SAP Analytics Cloud preview tenant. Explore how it can support testing, release readiness, and preparation before changes reach production.

Explore SAP Analytics Cloud Digital Boardroom and its role in executive meetings. Understand how stories, agendas, and large-screen presentation support data-driven discussion and decision-making.

Create a Digital Boardroom presentation in SAP Analytics Cloud and connect it with relevant analytical content. Prepare a structured experience for an executive audience.

Create an agenda for an SAP Analytics Cloud Digital Boardroom presentation. Organise related topics and stories into a controlled meeting sequence.

Review the main Digital Boardroom setup options. Understand how screen structure, navigation, and content configuration influence the executive presentation experience.

Understand the purpose of SAP Analytics Hub as a central access point for analytics assets. Establish the product context needed to understand the transition toward SAP Analytics Cloud Catalog.

Create an analytics asset and add information that helps users recognise and access it. See how clear metadata can improve analytical content discovery.

Explore how a business catalog organises analytics content around business-friendly categories and terminology. Understand how catalog structure can help users find trusted assets.

Understand the transition from SAP Analytics Hub to SAP Analytics Cloud Catalog. Distinguish the earlier Hub approach from the newer content-discovery direction.

Publish analytical content to a catalog so business users can discover approved assets. Review the importance of metadata, ownership, and access settings.

Review language considerations for analytics assets and catalog content. Understand how labels and descriptions can affect the experience of users across regions.

Explore the connection options available in SAP Analytics Cloud and how they link SAC with enterprise data sources. Prepare to compare live and import approaches.

Compare live and import connections in SAP Analytics Cloud. Review differences in data location, refresh behaviour, modelling, security, performance, and suitable use cases.

Review the range of data-source categories supported by SAP Analytics Cloud. Use this brief lecture as an orientation and confirm current connector availability separately.

Understand the purpose of the SAP Analytics Cloud Deployment Kit. Explore how it can support structured deployment, content movement, and implementation activities.

Explore the core concepts used to protect SAP Analytics Cloud content and data. Review how users, roles, permissions, teams, and source-system controls contribute to security.

Review the predefined roles available in SAP Analytics Cloud and the responsibilities they represent. Establish a foundation for role-based access and permission assignment.

Understand how teams group SAP Analytics Cloud users for access management. See why team-based permissions can be easier to govern than individual assignments.

Explore the purpose of monitoring in SAP Analytics Cloud and the types of operational or usage information administrators may need to review.

Review the broader list of SAP Analytics Cloud system-monitoring areas. Use it as a reference for operational, usage, performance, and security oversight.

Tour the main SAP Analytics Cloud administration area and its tenant-management settings. Learn where administrators can locate important configuration options.

Review a practical checklist of SAP Analytics Cloud administrator responsibilities. Identify important configuration, access, monitoring, security, and governance topics.

Explore user management and Single Sign-On in SAP Analytics Cloud. Understand the relationship between identity, authentication, user provisioning, and the login experience.

Understand how development, test, and production environments can fit into an SAP Analytics Cloud system landscape. Review their role in validation, deployment, and change control.

Explore the SAP Analytics Cloud planning workflow, including models, dimensions, data entry, versions, allocations, calculations, Calendar activities, and data actions.

Enter and manage plan data manually in SAP Analytics Cloud. Work with input-ready cells while maintaining the relevant dimensional, version, and time context.

Create a currency-conversion table for SAP Analytics Cloud planning. Prepare exchange-rate information for planning and reporting across multiple currencies.

Distinguish public dimensions from private dimensions in SAP Analytics Cloud planning models. Understand how reusability, ownership, and model scope affect the choice.

Create a public dimension and define reusable master data. See how shared dimensions can improve consistency across multiple SAP Analytics Cloud models.

Build an SAP Analytics Cloud planning model using the supplied files. Configure the model structure and data required for later planning exercises.

Explore the structure and settings of an SAP Analytics Cloud planning model. Locate dimensions, measures, versions, and key model properties.

Create a story connected to an SAP Analytics Cloud planning model. Prepare an interface for reviewing actuals, entering plan values, and analysing results.

Understand unbooked data and how empty dimension combinations can affect a planning table. Recognise when unbooked values are useful for data entry.

Create a private planning version to test changes without immediately affecting shared data. Use private versions for personal scenarios, review, and controlled publication.

Use mass data entry to update multiple planning values efficiently. Reduce repetitive input when a larger selection of cells requires related changes.

Lock planning cells to protect selected values from further changes. Understand how locking supports control and accountability during a planning cycle.

Copy and paste values within an SAP Analytics Cloud planning table. Use spreadsheet-style interaction while retaining the dimensional context of the target cells.

Publish a planning version so approved changes become available beyond a private working copy. Move from personal scenario work to shared plan data.

Create multicurrency reporting in SAP Analytics Cloud. Connect currency conversion settings with a story-level planning and reporting requirement.

Understand the purpose of allocations in SAP Analytics Cloud planning. Explore how values can be assigned from a source to target members using business rules.

Explore how distribution spreads a source value across target members. Understand its role in top-down planning and controlled value assignment.

Explore how redistribution moves or reallocates values across planning members. Distinguish it from basic data entry and straightforward distribution.

Create a structured allocation using defined source, target, driver, and rule logic. Translate a repeatable business methodology into a planning process.

Execute a configured allocation in SAP Analytics Cloud and review the resulting values. Connect the allocation design with its impact on planning data.

Understand variance analysis and how it compares actual, plan, forecast, or prior-period results. Learn why variance interpretation matters for performance management.

Apply variance analysis in SAP Analytics Cloud and present the results clearly. Identify favourable and unfavourable performance using calculations and visual indicators.

Create member formulas that derive values from other members in an SAP Analytics Cloud planning model. Use formulas to support reusable business logic.

Explore advanced formulas and variables in SAP Analytics Cloud planning. Understand how flexible calculation logic can adapt to different members, periods, or conditions.

Add calculations to an SAP Analytics Cloud planning model or story. Derive additional business measures beyond the values stored directly in the data source.

Explore the SAP Analytics Cloud Calendar and its role in planning coordination. Understand tasks, processes, owners, deadlines, and status tracking.

Review the broader set of SAP Analytics Cloud Calendar capabilities. Use this short lecture as a reference before selecting relevant planning coordination features.

Organise planning activities with SAP Analytics Cloud Calendar tasks. Assign responsibility, define timing, provide context, and track progress through a collaborative process.

Create a Calendar task and configure its ownership, timing, and work details. Turn a planning activity into a visible and trackable responsibility.

Create a Calendar process to coordinate related planning activities. Organise tasks, participants, timing, and overall progress within a higher-level workflow.

Use a copy action to move planning data between versions, periods, or dimensional selections. Automate repetitive copying and support scenario preparation.

Understand how data actions automate planning operations in SAP Analytics Cloud. Explore their role in calculations, copying, allocations, and model-based transformations.

Explore a value driver tree and visualise how operational drivers influence a business outcome. Use it to support driver-based planning and scenario discussion.

Understand where SAP BPC fits within the current SAP planning landscape. Review the direction of SAP BPC for BW/4HANA, support considerations, product changes, and long-term planning architecture decisions.