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SAP Data Warehouse cloud and SAP analytics cloud – a partnership for digital transformation
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SAP Data Warehouse cloud and SAP analytics cloud – a partnership for digital transformation

To win in today’s digital economy, leading organisations are data-driven to make digital transformation a reality, putting data and intelligence at the centre of their future. With more data available to organisations than ever before, SAP focuses on bringing value to your data, helping you to make more informed, confident business decisions. With SAP Analytics Cloud (SAC) and SAP Data Warehouse Cloud (DWC) connected, the path to finding value from all your data is accelerated and optimised.

As part of SAP HANA Cloud Services, SAC and DWC are essential components of the SAP strategy. The combination of both is a powerful tool that is designed for complex analytics scenarios based on hybrid system architectures

There are several ways to visualise data from DWC in SAC. As part of the embedded strategy of SAP Analytics Cloud, each SAP Data Warehouse cloud contains an SAP Analytics Cloud embedded version. With this you can directly access the data that is available in the warehouse. 

But what exactly is DWC, and how does it work with SAC? Let’s take a look!


SAP Data Warehouse Cloud is the first out-of-the-box enterprise-ready software-as-a-service (SaaS) data warehouse in the cloud. It unites all your data sources in one solution while maintaining the security, trust, and semantic richness of your information. With data management and analytics together in the cloud, business users are empowered to make important business decisions with confidence and ease.


The following features make SAP Data Warehouse stand out from the crowd.

Structured Spaces For Secure Collaboration

SAP Data Warehouse Cloud enables users to build a virtual workspace for data analysis projects. In these Spaces, users can consolidate data models and connections, collaborate and share insights with colleagues through user-defined authorisations, and adjust computing and storage resources according to need

Natural Language For Understanding Complex Data

SAP Data Warehouse Cloud’s business layer uses natural language phrases to interpret data intuitively so that users on any level can instantly understand data. When defining relationships between each element in your data model, users can enrich data fields with business information and tags so that information is easily searchable and more accessible.

Simple Data Modelling For Instant Insights

SAP Data Warehouse enables business users, without the help of IT specialists or data scientists, to easily build data models and find insights through the use of intuitive drag-and-drop graphic interface, tables, SQL, Cube Builder, and flat files. Data modelling tasks are simplified through visual builds with Graphical View or readily-available data models created by peers.

Consolidated Access To All Data Sources For a Single Source of Truth

SAP Data Warehouse Cloud is capable of seamlessly connecting data from every corner of your business, no matter the source, for a consolidated database of business-wide data. Data from on-premise or cloud sources, SAP or non-SAP sources, and even data from remote sources can be connected and harmonised within SAP Data Warehouse Cloud with the built-in ELT tool and adapter.

Consumption-based Pricing For Growth at Scale

With SAP Data Warehouse Cloud, you only pay for what you use. Pricing models are based on the consumption of what you need, with the ability to separate storage and compute resources. Integrating with products and solutions already in place is also possible so businesses can easily grow at scale.

Integrated Analytics For an All-in-one Solution

With SAP Data Warehouse Cloud, business users can set up a data visualisation dashboard with pre-built content and design assets, while the built-in machine learning and artificial intelligence capabilities discover deep insights. Integration with any data analytics and visualisation tool is also possible.


Business people want to get business answers on the fly, solve business problems faster and do it with a solution that suits their budget. DWC and SAC combined are positioned to give business users more freedom to achieve just that.
DWC provides a space for agile data modelling, with the ability to control both data access and the allocation of memory for different user groups, and join non-SAP data with SAP data, without having to wait for IT. With the augmented analytics capability in the SAC solution, you can harness newly accessible artificial intelligence and machine learning mechanisms to develop deeper insights than ever before. And you can deliver them in context, in natural language. Even users with no special data-mining or visualization skills can automatically discover and display patterns and trends previously hidden from view. Analytics takes a quantum leap toward the conversational, automated, and predictive, helping users arrive at smarter decisions faster.



Traditionally the modelling and transformation of data has been controlled centrally by IT, however, with the growing need for digital transformation, the trend towards self-service is increasing. Particularly in the Business Intelligence and Analytics market, data-savvy line of business (LOB) users are more equipped to build data models and derive insights from data using DWC and SAC in a centralised platform.
IT will still need to be responsible for system governance, security model, memory allocation and more complicated integrations, but once strong foundations are in place, LOB users should be empowered to interact with and transform data without help from IT.


As is the nature of cloud applications, SAP will be continuously patching and adding functionality to SAC and DWC, reducing the total cost of ownership for the business. It will also benefit from more elasticity due to the amount of data you can add without disrupting operations.


The combination of DWC and SAC bridges the gap in the current SAP Analytics portfolio, where SAC isn’t powerful enough for loading and transforming data. DWC provides the robust foundation needed to load and transform large amounts of data.

DWC has been designed with integration with SAC in mind, and as such will enable organisations to have a complete end-to-end, easily-adopted Analytics architecture in the cloud. Couple this with the promise of standard content models for S/4HANA and the suite of SAP Cloud Applications and you have a clear and instant driver for value to any business who has already invested in any part of the SAP suite.