From meaningless to actionable: revive your data using Data Warehouse Cloud
Welcome to the first stage of our Tour of Data Warehouse Cloud!
These days it’s rather challenging to keep up with the everchanging and always more demanding world of analytics. Whether you are looking to migrate your data and models from an old-school data warehouse to the cloud or to provide business users with the flexible and easily accessible analytics possibilities, SAP Data Warehouse Cloud is your way to go.
Let’s find out why…
What is Data Warehouse Cloud?
SAP Data Warehouse Cloud is a powerful analytics platform for businesses looking to maximize the value of their (undiscovered) data. With advanced features and seamless integration with existing systems, it offers a range of benefits for data management and analysis.
Some of SAP Data Warehouse Cloud standout features are:
- Data Integration: The ability to combine and analyse real-time or batch processed data from multiple sources in one place using a no-code environment allowing faster and more insightful decision making.
- Enablement of Business Users: Built to satisfy the needs of both business and IT through the concept of spaces. It provides simple, self-service possibilities to model, visualize and analyse your data.
- Scalability: Flawlessly meet the changing needs of your business, regardless of storage requirements. Space Management allows you to flexibly upscale or downscale storage and processing capabilities based on business needs making it very cost effective.
Spaces allow you to manage the aspects of storage and security in the most flexible way.
These functionalities are provided by the way SAP data warehouse cloud was designed.
For both business and IT
SAP Data Warehouse Cloud is designed to provide both technical and business users with powerful tools for data modeling and analysis. The first layer of modeling, known as the data builder, is where IT users can create models based on a technical approach. In this area, they can set up connections to various data sources, and prepare and transform the data as needed.
Using graphical views, IT – or even business users – can model data to provide insightful answers to their questions.
Complementing the data layer, the business layer is designed for business users to create models using a semantic approach. In this area, business users can access pre-modelled data models built in the data layer and use them to create their own business models for answering specific business questions. This allows business users to gain insights from their data in a way that is meaningful and relevant to their role within the organization.
The layered approach of Data Warehouse Cloud
This layered approach is translated into following architecture:
At the bottom layer, IT users can set up connections to various data sources and use tools like the data and data flow builder to acquire and organize the data. This is an important step in preparing the data for analysis by business users.
Once the data is clean and organized, business users can create their own semantically rich analytical models using tools like the data builder. This layer is meant to be used by business users to gain insights and answer specific business questions.
All these layers are managed within individual spaces, allowing users to easily organize and manage their data and models. And when the models are ready, business users can create dashboards and reports in SAP Analytics Cloud or other analytics tools to share their insights with others.
Continue your tour!
If you want to learn more about Data Warehouse Cloud after reading this first blog, don’t hesitate to register for the second stage of our Tour of Data Warehouse Cloud, the webinar we will host March 2nd.
During this webinar we will take a deeper dive into SAP’s latest cloud data warehousing solution.
SAP analytics consultant @ Cubis
SAP analytics consultant @ Cubis