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Author's profile photo Jonas Mittenbuehler

SAP Business Technology Platform: End-to-End Data & Analytics Scenarios

Introduction

The ongoing digital transformation as well as the continuous rise of cloud computing resulted in an enormous growth in the amount and variety of data. This development has shown that data can be extremely valuable – but also complex. SAP’s Data & Analytics Solutions help companies to simplify their data journey and unlock the full value of their data. In this blog post I would like to introduce you to the capabilities of SAP’s Data and Analytics Solutions in the Cloud by offering a selection of insightful end-to-end demo scenarios that span across multiple SAP solutions.

But first, let me give you a short introduction to SAP’s Data and Analytics solutions and explain the relevance of an integrated and unified portfolio.

SAP Business Technology Platform

SAP’s Data & Analytics solutions are part of the SAP Business Technology Platform which serves as the underlying foundation for the Intelligent Enterprise. In addition to the Database, Data Management and Analytics components, SAP’s Business Technology Platform also offers tooling for Application Development and Integration as well as Intelligent Technologies such as Intelligent Robotic Process Automation, Conversational AI and more. Eventually, these capabilities support companies in achieving their goals with the flexibility to build, manage, and deploy their applications and connect data and business processes on one integrated platform.

 

Figure 1: SAP Business Technology Platform

 

The demo scenarios listed in this blog post are centered around the SAP Business Technology Platform and available BTP-Services as a starting point, showcasing on how to leverage and combine the different BTP services to fulfill the customer demand. The scenarios are also including the existing SAP HANA Database & Analytics products and capabilities as additional “services”, added and combined with the BTP-Services.  The guiding principle is to follow a service-oriented approach and (re)use functionalities of other “services”.

 

SAP Data and Analytics in the Cloud – Give Data Purpose

SAP’s Data and Analytics Solutions are built upon the Data Value Formula helping to turn raw data into business outcomes. In detail, the different solutions provide the opportunity to manage high volumes of data, ensure data quality and lastly visualize this data by deriving insights out of it. Thus, companies are enabled to give their data purpose.

Now let’s have a quick look at the individual solutions, which are providing different capabilities in terms of a service centric point of view:

  • SAP HANA Cloud: SAP’s in-memory cloud database simplifies data management with multi-temperature storage tiers and combines the speed of in-memory computing with the simplicity and flexibility of the cloud.
  • SAP Data Intelligence Cloud: SAP Data Intelligence Cloud is a comprehensive data management solution that connects, discovers, enriches, and orchestrates disjointed data to enable the creation of data warehouses.
  • SAP Data Warehouse Cloud: SAP Data Warehouse Cloud is an enterprise-ready data warehouse that provides the opportunity to unite heterogenous data in one cloud solution designed for both business and IT users.
  • SAP Analytics Cloud: SAP Analytics Cloud empowers business users to make confident decisions by combining business intelligence, planning and predictive technology in one Cloud Analytics Solution.

 

Figure 2: Data to Value Formula

 

Relevance of integrated Data and Analytics Solutions

A recurring problem in today’s Data & Analytics landscapes is that organizations too often settle on isolated applications that only address specific data needs. However, in order to gain meaningful insights out of data, it is important to utilize an integrated set of solutions along your data journey. This is why SAP focusses on an interconnected Data & Analytics portfolio to store, manage, process and visualize data end-to-end.

Moreover, SAP Data & Analytics solutions have unique, direct connectivity to SAP data sources. This is achieved with common semantics across SAP applications for optimized interoperability which makes it possible to retain the context of your SAP applications. Additionally, out-of-the-box connectors allow heterogenous data source and landscape management to combine SAP and non-SAP applications or data stores. This allows companies to move to the Cloud while leveraging existing On-Premise investments.

Although the different components can also be deployed individually, the following collection of demo scenarios shows how the different solutions play nicely together to achieve real business value.

 

Collection of End-to-End Demo Scenarios

Below you will find a collection of demo scenarios which feature multiple of SAP’s Data & Analytics solutions. These scenarios highlight the synergies between the different solutions and do also show how they integrate with other SAP or Non-SAP systems such as Hyperscalers. The linked blogs itself comprise out of multiple posts and the list will be updated continuously.

 

 

Conclusion

By studying the different demo scenarios you will learn how to manage you data end-to-end. Although the blogs highlight the synergies between multiple SAP solutions, you will also see features of our individual SAP Data and Analytics solution. If you are interested in learning more about this topic you can also check out saphanajourney.com where you will find a collection of additional resources.

If you have new ideas for upcoming end-to-end demo scenarios or additional feedback, please feel free to reach out!

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