![]() ![]() To get the insights needed to answer these questions, you would typically have to spend hours performing manual data discovery. When analyzing data in a chart or table, you probably often have questions like, “Why did this value decrease?”, “What is causing this variance?” or “What is influencing this metric?”. A story can be designed as reports or dashboards to help with your planning or analysis. Data visualization aids the analysis process by presenting data visually, making it easier to get actionable insights to help answer your business questions. In an SAP Analytics Cloud story, you can turn your data into visualizations like charts, tables, geo maps, and more. Now you are ready to tell a story with your data. Dimensions can be numeric or text and are descriptive values such as a Profit Center, Date, and Sales Manager.Ĭreating a model is called data modeling and is done using the Modeler, usually by advanced users with knowledge of the underlying data source. Measures are numeric values that can support mathematical calculations such as Total Sales or Number of Orders. When creating a data model, you specify the dimensions, measures, and other semantics you need to facilitate your analysis and data storytelling. For example, your database has a great deal of information in it, but you only need Customer Name, Product Name, and Total Sales for your analysis. ![]() Once SAP Analytics Cloud has access to your data, you need to create a data model for the data source so that SAP Analytics Cloud knows how to query for the data and make it available for analysis. You can upload spreadsheets easily into SAP Analytics Cloud for analysis but for connections to larger, more complex data sources, more steps are needed. SAP Analytics Cloud can connect to all these different sources of data so you can perform the analysis you need to gain valuable insights and make important data-driven decisions. This data may reside in a spreadsheet, a large database, or an application in the cloud or on-premise. The first step to analytics is getting access to your data. SAP Analytics Cloud has three fundamental components: data, models, and stories. Planning features will be explained later in this tutorial. It breaks down silos and brings teams together to collaborate on plans and drive better business outcomes. It enables real-time Extended Planning and Analysis, to link and align all plans and people across your organization. SAP Analytics Cloud for Planning lets you analyze, predict, and plan in one application. ![]() We will explain Smart features in more detail later in this tutorial. Spend less time analyzing data manually by leveraging these capabilities to automatically reveal top contributors, influencers, hidden patterns, and outliers in your data - no data science knowledge needed. SAP Analytics Cloud Augmented Analytics can help users make more confident decisions faster with automated insights powered by machine learning and artificial intelligence. These features include reports, dashboards, data exploration, data preparation, and data visualizations such as charts, tables, Geo maps, and other visual formats to display data in a way that can be quickly and easily understood. SAP Analytics Cloud offers built-in self-service Business Intelligence (BI) features to help you explore, analyze, and visualize data to get actionable insights for decision making.
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