In SAP Datasphere, together with SAP Analytics Cloud, you can combine your data sources and extract insights from them based on stories. A story is where your data comes to life with powerful data visualizations. Charts, graphs, tables, and other visual elements are arranged to tell the story of your business or organization. Stories are the analyzed results of combining different data sources and models. Here, you begin visualizing the valuable insights you got from your data and prepare those insights for sharing with your stakeholders.
SAP Analytics Cloud offers One integrated experience for planning, BI, and predictive in one service, with live data connectivity for end-to-end analytics for your Intelligent Enterprise.
SAP HANA Cloud, SAP Analytics Cloud and SAP Datasphere are an essential part of the SAP strategy. The combination of both is a powerful tool designed for complex analytics scenarios based on hybrid system architectures.
SAP Analytics Cloud
- Direct consumption of SAP Datasphere data models in SAP Analytics Cloud using a live connection
- Multiple SAP Datasphere tenants can be connected to any number of SAP Analytics Cloud systems
Microsoft Office:
- SAP Analytics Cloud, add-in for Microsoft Office 365 with live connection for online or desktop version
- SAP Datasphere with SAP Analysis for Microsoft Office 2.8 SP14+ (limited)
SAP Analytics Cloud, for planning:
- Bi-directional integration of SAP Datasphere and SAP Analytics Cloud for planning
- Use OData API to pull data from SAP Datasphere into planning
- Use data export service API to pull data into SAP Datasphere
You have the following options and limitations for the consumption of data models:
- Direct consumption of data models in SAP Analytics Cloud via live connection
- Ability to connect live to source data sets in SAP Datasphere and create stories in SAP Analytics Cloud
- SAP Datasphere tenants can be connected to any number of SAP Analytics Cloud systems, and vice versa
- The live connectivity needs to be set up for each SAP Analytics Cloud system
- Metadata translation can be enabled for SAP Analytics Cloud stories
- SAP Note 2832606 - Limitations with live connections
Watch this video to see how to consume an SAP Datasphere Analytic Model in SAP Analytics Cloud.
Note
A Story involves the ability to analyze the data generated by the connections you made during your modeling phase. You then visualize it and tell a story based on the data. With SAP Datasphere, you can ensure you have the fresh data you need. You can also ensure your data is ready to be interpreted without spending valuable time organizing it.
In SAP Datasphere, building a story is usually the last step in data analysis. Here, you visually discover and communicate important data insights. Creating a story is as easy as choosing the charts, tables, or other widgets and selecting the appropriate dimensions and measures. You can deploy different strategies and best practices to build engaging stories with filter elements, calculations, and even java script code that memorably communicate exactly what you want.
Managing Stories:
When you create and publish stories and apps based on SAP Datasphere models, they are stored in folders of SAP Analytics Cloud. You can assign authorizations based on folders.
Define Your Goals:
The best way to approach story building is to outline exactly what you are looking for from the data. This provides a clear jumping-off point from which you can find other insights. Your primary objective could be to learn what customers are buying the most through looking for any possible buying trends. It could also be to discover which salesperson has the highest sales. It could be both. To do these, you focus on answering each question with charts, then, after you answer the big questions, unfold additional hidden insights.
Use Design Principles:
When creating your story, design principles are important. Examples of design principles include using white space (so that stories are easy to read) or using complimentary colors (so that you highlight important charts in your story).
It is important to keep charts from becoming busy by minimizing color, eliminating confusing design, removing redundant information, and putting data in the correct order. The goal is to draw people into your story and keep them engaged by presenting information that is easy to interpret. You can present complex information. However, you do it in a simplified way.
