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SAP Data Warehouse: When Should Companies Make The Shift?

Swathi
Last updated: February 29, 2024 12:27 pm
Swathi
Published: March 3, 2024
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7 Min Read

There has been a lot of development in analytics platforms and tools in the market recently. Progressive technology platforms are trying to capture the analytical needs of the market in the face of the massive disruption it is undergoing. Many leading software vendors have been merging and acquiring smaller but innovative products with relevant capabilities to expand their suite of features. SAP Data Warehouse Cloud (DWC) has emerged as a key player in this landscape, offering advanced analytics capabilities to meet evolving market demands.

Table of Contents
History of SAP analytics cloudWhat is SAP Data Warehouse Cloud?Capabilities of SAP Data Warehouse CloudPrebuilt AdaptersReal-Time Virtual Data AccessReal Timetable ReplicationCombine Structured And Semi-Structured DataSupport for External Data Movement ToolsLeveraging Existing Skills For Data IntegrationEasy-To-Use Data Modeling ServicesWhen Should Companies Shift to DWC?Advantages of DWCConclusion

In light of such a competitive landscape, SAP has been a little slow in business intelligence and analytics. Many SAP tools that played a prominent role in business intelligence a few years ago could no longer suffice the needs of growing businesses.

To counter this setback, SAP has aggressively expanded its capabilities by bringing a rekindled focus on the cloud.

SAP Data Warehouse

History of SAP analytics cloud

SAP analytics cloud is a unified platform that blends analytical capabilities with business intelligence planning, machine learning, and predictive analytics. It enables real-time access to on-premise and cloud data sources, saving time and effort to help make quick decisions.

SAP has been a part of the business intelligence space for a long time and has provided quite a few robust enterprise solutions that essentially transformed operations for companies across industries.

What is SAP Data Warehouse Cloud?

SAP data warehouse cloud is a data management tool and persona-driven data warehouse solution ideal for SAP & non-SAP clients. It is designed to reduce complexity throughout business operations, from deployment to analytics. With prebuilt enterprise-grade business content and adapters that can easily integrate different data sources, it gives businesses extraordinary abilities to scale.

The pricing options are also great with integration to SAP analytics cloud, SAP intelligent enterprise suite solutions, SAP business technology platform, and open-source technologies.

SAP data warehouse cloud aims to minimize the complexity that most companies face while working with different heterogeneous data sources and minimize the time required for design and development; in short, it provides a better return on value.

Capabilities of SAP Data Warehouse Cloud

SAP DWC provides an open architecture on the cloud which can easily integrate and transform combined data from various sources to unify the different silos of data in a consolidated view for the company.

Some of the data integration capabilities of SAP DWC are mentioned below:

Prebuilt Adapters

They can easily integrate data from SAP and non-SAP sources in the cloud.

Real-Time Virtual Data Access

Data federation’s support across multiple sources and hyper scale with virtual access does not mean any upfront data movement. This provides the ability to leave the data in the source system and access it whenever needed remotely for

Real Timetable Replication

It includes materializing views and updated snapshots using scheduled and automated data loads.

Combine Structured And Semi-Structured Data

With inbuilt data enrichment processes like advanced transformation capabilities using Python 3.

Support for External Data Movement Tools

It includes SAP data services, SAP available connectors SAP data intelligence to bring data into the SAP data warehouse cloud using the SQL interface.

Leveraging Existing Skills For Data Integration

It is for supporting SQL skills, open source or inbuilt tooling for data integration, big data historicization, and governance harmonization to provide a consolidated view across the company.

Easy-To-Use Data Modeling Services

It enables data transformation without any programming knowledge. The functionality provides a no-code environment for designing advanced ETL flow.

When Should Companies Shift to DWC?

The data and analytics space has undergone many changes over the past ten years. Organizations have invested in modern data architectures, including data lakes, data warehouses, and data marts, to drive competitive advantages through information.

Organizations have also deployed the latest visualization and bi tools to gain better insights into their data.

One of the significant challenges companies face in making data accessible is the complexity of integrating data from various enterprise applications and systems. Using the current information-sharing model prevalent in the industry, business analysts mainly rely on the IT department to integrate and deliver information for reporting capabilities. Hence, these data analytics initiatives take a long time to implement and fall short of business expectations. As a result, the lines of business should shift to DWC.

Advantages of DWC

As you know the benefits of SAP analytics cloud, you should also know how SAP DWC can make a difference in your business.

Data connectivity is easy with the data warehouse, and migration to the SAP data warehouse is also affordable. The company can easily migrate 50 million records in just 20 to 30 minutes which is time-saving.

Data modeling is productive, one of the significant elements of SAP DWC that allows people to establish a perfect structure for the relationship between different tables. DWC creates an ideal environment for business users and the enterprise, besides the third-party data resource, to create data models.

DWC delivers openness, so adapters can connect to SAP and non-SAP data resources for any cloud and on-premise sources. The data can be accessed virtually, which means that the data will never leave the on-premise platform that ensures optimum security.

Conclusion

Data is modeled with spaces that are decoupled workplaces for independent businesses. These spaces are virtual and also flexible for multiple user access. In short, SAP DWC can be considered in two functional areas: data builder and business builder.

SAP data warehouse cloud is a viable option to provide companies with a platform to perform data integration reporting, analytics, and other BI functions that can connect to different SAP and non-SAP resources and tools. The adaptable customization and integration with more BI tools offer freedom to developers and business users to utilize SAP DWC further analytics.

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