The right data
at the right time



Retail is an increasingly data-rich industry. The opportunity to capture data
and gain a deeper understanding of consumer behavior increases as the industry goes
digital. The data challenge comes from making sure retailers capture the right information
and managing the growing amount of data sources in one central access layer.
The retail industry is also competitive and fast-paced, so data and insights
must be processed quickly to make better business decisions.


SAP Data Warehouse Cloud provides retailers with a clear overview of their data.
The native integration with SAP Analytics Cloud delivers real-time insights.
This way, you can look at performance and take immediate action. To help retailers
achieve a faster time to value, SAP Data Warehouse Cloud offers prebuilt business content
that leverages the expertise from SAP and SAP partners. It currently includes
content that connects the SAP Consumer Sales Intelligence solution to
analyze point-of-sale transactions.


SAP Data Warehouse Cloud offers tight integration with on-premise solutions, enabling a
straightforward extension to the cloud. For SAP BW/4HANA customers,
SAP Data Warehouse Cloud is the perfect complement to their on-premise investment.
SAP BW/4HANA objects work in SAP Data Warehouse Cloud to leverage
your existing investment in the cloud.


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How SAP Data Warehouse Cloud Solves Your Biggest Challenges

Unite Your Complex Data Landscape

Retailers face complex data landscapes. Data is typically spread over four key solutions:


  • Customer experience data and webshop data in SAP C/4HANA,
  • Merchandise management and finance in SAP S/4HANA,
  • POS data in SAP CAR/SAP CSI
  • and historical data in SAP BW/4 HANA.


All of this is in addition to any non-SAP data sources as well as flat files. SAP Data Warehouse Cloud unites all these data sources into one central access layer that offers simple analysis and reporting with SAP Analytics Cloud. SAP Data Warehouse Cloud’s virtualization also enables data to be accessed remotely without copying or moving the data.


SAP Data Warehouse Cloud’s business layer maps business terminology to the underlying data. This way, you can map data from various sources under one business-friendly name – for example, all data related to merchandise – to provide a consistent view of data. If the underlying data connected to SAP Data Warehouse Cloud changes, you just need to point the business layer to the new data.

Report on POS Data and Track Your KPIs in Real-time

POS data is critical in understanding consumer behavior, especially when connected in real-time to KPIs that provide insights into performance. SAP Data Warehouse Cloud and SAP Analytics Cloud analyze POS data in real-time. This helps you understand different regions, store locations, and merchandise categories. Analyze KPIs like sales amount, sales quantity, number of transactions, or average basket value with SAP Analytics Cloud’s incredible data visualizations. Breakdown TOP and FLOP performing stores, and products over any period, even down to the hour, to get a deeper understanding of consumer behavior. Integration between SAP Data Warehouse Cloud and SAP Analytics Cloud means data models can be consumed and visualized without switching interfaces.

Ensure Data Quality to Unlock Insights into Past Performance

A comparative analysis of past performance can provide an edge over your competition. However, if you can’t ensure the quality of your data, comparative analytics suffer. SAP Data Warehouse Cloud extracts, replicates, or virtualizes data from different sources to create one robust high-performing data layer with complex data models that span multiple data sources. With this data layer feeding directly into your analytics tool, modeling no longer has to be done in the backend system with a live connection or in your analytics tool with an import connection. With SAP Data Warehouse Cloud, all your models sit in one unified data layer.


SAP Data Warehouse Cloud enables extensive comparative analysis with different data sources and time frames in the same dashboards. Retailers can compare year-to-date values (YTD) by last-year-to-date values (LYTD) to get a condensed and comparative overview of their business.


More Features

Create and Monitor Real-time Data Connections

Monitor and Create Connection

SAP Data Warehouse Cloud can replicate or virtualize data in real-time from all data sources. Quickly monitor and create connections from the comfort of a single centralized environment. Connections to remote systems or data sources can be created and monitored within each Space in SAP Data Warehouse Cloud.

The full list of connections, including the connection’s name, owner, creation date, and type, for example, SAP HANA, is available for each Space. You can also drill down on specifics like how often replicated data is refreshed – select real-time or do it manually – in SAP Data Warehouse Cloud’s Data Integration Monitor.


Integrated Analytics

End-to-End Solution

SAP Analytics Cloud is integrated seamlessly into SAP Data Warehouse Cloud, switching back and forth between applications is done at the press of a button. Take your SAP Data Warehouse Cloud models and effortlessly generate SAP Analytic Cloud Stories before sharing them.

Single Point of Access to All Your Data

Trust In Your Data

SAP Data Warehouse Cloud consolidates all your data, providing a central access layer to all your data regardless of its source, age, or size. SAP Data Warehouse Cloud’s virtualization enables data to be accessed remotely without copying or moving the data. Alternatively, replicate and store large amounts of data from remote sources or upload data from local files like CSV. Identify and avoid errors in your data uploads with SAP Data Warehouse Cloud’s data tracing and monitoring. ETL/ELT services like pipelining or data transformation will create a robust high-performing data layer.

SAP Data Warehouse Cloud’s Spaces are isolated environments that allow departments to explore data. SAP Data Warehouse Cloud’s Space Management enables IT to see and govern all Spaces and data sources. While each Space is isolated, the data remains centrally administered and connected in real-time to the organization’s underlying data. Space members can establish connections to new data sources and upload local data before sharing insights in real-time with other departments.

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