SAP Analytics Cloud, SAP Data Warehouse Cloud and SAP HANA Cloud form SAP HANA Cloud Services, our most comprehensive data management and analysis strategy for enterprises of all sizes. SAP HANA Cloud is the underlying engine powering the other two products. On top of that, SAP Analytics Cloud Story Builder is built right into SAP Data Warehouse Cloud as the in-platform data visualization tool.
Of course, before you can visualize your data through building a Story, you need to connect your data sources and build data models. Let’s look at 3 key features built into SAP Data Warehouse that enhances the data modeling and visualization process.
Organize your Data with Spaces
SAP Data Warehouse Cloud allows you to manage data governance for your organization with ease. Connections are added to Spaces within SAP Data Warehouse Cloud, so teams only have access to data that is relevant to them.
Spaces are virtual workspaces that can be set up for departmental, regional or ad hoc projects. Each project can have their own Space. Here, only relevant data connections are assigned so that each team can build models and stories specific to their KPI’s, all within their respective Space.
Spaces also make it extremely easy to see which teams are using the most resources, with at a glance statistics including most used RAM and Storage. Resources can then be reallocated between teams, or storage and RAM limits can be changed depending on your organization’s current needs.
Combine Data from Different Sources
Once you have your data sources connected, it’s time to start modeling. There are a variety of ways to model in SAP Data Warehouse Cloud. Depending on preference, modeling can be done visually in the Graphical Modeler, Entity-Relationship Modeler, or SQL Modeler. Other modeling features include the Cube Builder and KPI Builder.
Wherever your data connections come from, in SAP Data Warehouse Cloud it’s simple to pull data from different sources into the same model – making it easier than ever to uncover hidden insights. You can even join output from blended data models in new models, to see combinations you didn’t even know were there.
Make Data Accessible with the Semantic (Business) Layer
During or after data modeling, SAP Data Warehouse Cloud has the option to add business information and natural language phrases on top of the data being used. This can include different column names, a description of the model, or any other useful information that can help business users understand the data with ease.
The Semantic (Business) Layer does not alter anything in the data layer, allowing IT, analyst, and business users to work together seamlessly, in their own respective professional jargon. This makes it quicker than ever to derive transformative insights from your data.
These are just 3 advantages of working with SAP Analytics Cloud integrated with SAP Data Warehouse Cloud. Want to give SAP Data Warehouse Cloud a go? Register to try it free today. Want to keep on exploring? Find out more about SAP Data Warehouse Cloud and SAP HANA Cloud Services here.