
Learn SAP Analytics Cloud (SAC) basics, debunking cost myths and showcasing its SaaS, BI, planning, predictive analytics, analytics designer, and low code to pro code options, including JavaScript and R.
Explore how SAP Analytics Cloud unifies on-premise tools into a cloud offering, enabling browser-based access, import or live connections, license-based features, and development, quality, and production environments.
Explore SAP Analytics Cloud as a SaaS accessed via browser, and how to connect data from OLTP or OLAP sources using import and live connections.
Live connections keep data on the source and render in the browser. Import connections move data into SAC for backend processing via cloud connector and SAP analytics cloud agent.
Explore how transactional data from purchases is modeled in SAP Analytics Cloud, with import or live connections, and how models support BI, planning, and predictive analytics.
Identify entities from a sales transaction to form master data as dimension tables. Define attributes for customer, location, time, and product dimensions, and apply primary keys to ensure unique records.
Store transactional data in fact tables and maintain entity data in dimension tables, which change slowly, while fact data grows rapidly and transactions are never edited.
Explore SAP Analytics Cloud model types and basics, including analytical, planning, account (classic), and new models, and how fact and dimension tables organize transactional and master data.
Learn how to manage users, roles, and security in SAP Analytics Cloud, including creating users, teams, and assigning roles within the trial instance.
Learn to create and manage SAP Analytics Cloud users, assign roles and licenses, import from CSV, and use self-service and teams for secure, collaborative access.
Learn to enable secure single sign-on for SAP Analytics Cloud using external identity providers (SAML 2.0, JWT) and grasp SAP BTP basics (subaccounts, spaces, Hana Cloud).
Learn to establish a live connection from SAP Analytics Cloud to SAP Hana Cloud, deploy cube-type calculation views and database artifacts, and manage access via containers.
Import an Excel file into SAP Analytics Cloud, build a classical model from draft data, and define dimensions, measures, hierarchies, and geography with semantics.
Discover how SAP Analytics Cloud models organize measures into the account dimension, compare account-based and classical models, and manage hierarchies, dimension properties, and row-level access.
Learn data management in SAP Analytics Cloud: account-based analytical models, data sources, imports/exports, semantics, transformations, import/export schedules, and story dashboards with canvas, responsive, and grid pages.
Explore SAP Analytics Cloud widgets by using the designer panel and builder to create charts, set dimensions and measures, apply filters, and style with legend and data labels.
Learn to build stories in SAP Analytics Cloud with widgets, choose analytical or planning models, and compare actuals to forecasts using variance, thresholds, and tooltips.
Explore configuring tooltips for measures, create and customize widgets with trellis, hyperlinks, and comments in SAP Analytics Cloud, and master chart styling, exporting, and page navigation options.
Explore SAP Analytics Cloud from zero to hero as you build canvas stories, create charts and trellis breakdowns, and learn calculated and restricted measures, time dimensions, and page level filters.
Learn to apply page, story, and widget filters across many widgets, use measure and dimension input controls, and create charts, tables, and geo maps with multi-model linking.
Explore blending data from models and datasets, link dimensions, and create calculated measures in SAP Analytics Cloud stories. Learn canvas, responsive, and grid pages, and various widget types.
Explore creating dimensions for a SAP Analytics Cloud model, including currency conversion, account measures, and manual vs automatic model building for analytical and planning use.
Load transactional data into a SAC planning model by uploading draft sources, mapping columns, and assigning actuals and forecast versions; then explore cross tab and forecast layout to compare data.
Learn to create and manage data actions in SAP Analytics Cloud, including copy steps, cross-model copies, allocations, embedded actions, advanced formulas, and multi actions in planning.
Explore version management in SAP Analytics Cloud, create public and private versions, copy data between versions, and publish updates using multi actions and data logging for controlled collaboration.
Explore predictive analytics in SAP Analytics Cloud with smart assist and smart predict, covering smart discovery, smart insights, search to insight, and just ask.
Attach the sales analysis R model to SAP Analytics Cloud and generate a word cloud within sec. Train a time series forecast on a csv dataset and produce future projections.
Explore SAP Analytics Cloud analytics designer, a pro-code environment using JavaScript to build analytics applications with canvases, widgets, data actions, and interactive components that show or hide elements.
SAP Analytics Cloud (SAC) is a new tool in the SAP portfolio to meet the needs of data visualization in the cloud. It is delivered as an all-in-one, SaaS-based product. It covers the needs of data visualization, budget planning, and predictive analytics. Its main function is the creation of data reports. SAP Analytics cloud can retrieve data from spreadsheets, on-premise databases, and cloud databases, or a combination of all three. SAP Analytics Cloud transfers raw data from the transactional system into precise data by providing meaningful insights.
SAP Analytics Cloud evolved out of the Cloud for Planning product, which was released in February 2015. In addition to business planning, the other key components are BI (for reporting, dashboarding, data discovery, and visualization), predictive analytics and governance, risk, and compliance. Analytics Cloud allows data analysts and business decision-makers to visualize, plan, and make predictions all from one secure, cloud-based environment. With all the data sources and analytics functions in one product, Analytics Cloud users can work more efficiently. The key functions are accessed from the same user interface that is designed for ease-of-use for business users. In simple words, SAP Analytics Cloud (SAC) or SAP Cloud for Analytics is a cloud-based BI solution from SAP. SAC was previously called as SAP Business Objects Cloud or SAP BO Cloud. It is generally used for Business Intelligence, Planning or forecasting activities, helping business owners’ insights and act accordingly regarding Business Decisions.
SAP Analytics Cloud is an all-in-one cloud product offered as software as a service (SaaS) for business intelligence (BI), planning, and predictive analytics. Built natively on SAP BTP, it provides a unified and secure public cloud experience to maximize data-driven decision making. SAP Analytics Cloud is a software-as-a-service with a platform of tools and functionalities for data visualization, data analysis, and business planning. It provides business analysts, data scientists, and developers with a central hub through which they can perform their daily business intelligence (BI), financial planning, and application build tasks. It runs on SAP Business Technology Platform (formerly SAP Cloud Platform). SAC is nothing but a HANA cloud-based platform tool used for visualization & reporting.
The evolution of the SAC analytics cloud has made catering to various needs of users (related to business analysis and planning) possible with just one integrated product. SAP Analytics Cloud is one simple cloud solution that connects your people, information, and ideas. It’s powered by artificial intelligence and is complete with SAP’s world-class compliance, security, and data protection practices. SAC enables the organizations to make fast and confident decision making with useful insights and in-depth analysis. With SAP Analytics Cloud you can automatically receive strategic insights with SAP Analytics Cloud’s embedded machine learning technology. It also helps you go from vision to action in a segment of the time. With SAP Analytics Cloud you can avoid agenda driven decision making by introducing the true story of what is driving your business.