The Great (SAP BW) Migration to the Cloud

⇨ SAP strongly encourages its customers to transition to SAP BW/4HANA or SAP Datasphere as part of a broader strategic shift towards cloud adoption. This move enhances data accessibility and scalability by leveraging cloud features.

⇨ Migrating from on-premise systems to the cloud opens up many new data sources and unlocks advanced analytics capabilities, including artificial intelligence and machine learning.

⇨ However, one key challenge in migrating to SAP S/4HANA is managing data that is often dispersed across multiple systems, including different ERP platforms, databases, and third-party applications. These systems frequently have incompatible data formats and schema.

According to recent SAPinsider research, 48% of organizations rely on SAP BW. The complexity of data strategy decision-making and the varying priorities across organizations highlight companies’ challenges when managing their data infrastructure and systems integration. Many organizations seek to integrate diverse data sources to enable more comprehensive analysis. SAP Business Warehouse (BW) has been the long-standing platform for organizations fulfilling this need. As the on-premise data warehouse component of SAP’s Business Technology Platform, SAP BW provides a consolidated and consistent view of enterprise data.

All Aboard: Migrating from SAP BW to SAP BW/4HANA or SAP Datasphere

SAP strongly encourages its customers to transition to SAP BW/4HANA or SAP Datasphere as part of a broader strategic shift towards cloud adoption. This move enhances data accessibility and scalability by leveraging cloud features. Migrating from on-premise systems to the cloud opens up many new data sources and unlocks advanced analytics capabilities, including artificial intelligence and machine learning. These innovations offer a more comprehensive view of the business and enable the seamless integration of diverse applications, empowering organizations to make more informed and agile decisions.

On-Prem to Cloud: How Big is the Opportunity?

For customers, moving to the cloud presents a significant opportunity to drive innovation and achieve efficiencies previously constrained by the limitations of on-premise systems. For example, while powerful, SAP BW has limitations that can hinder businesses in today’s fast-paced data environment. Its complexity and high maintenance costs make it difficult for organizations to adapt quickly to changing business needs. Additionally, its reliance on batch processing delays access to real-time data, complicating timely decision-making. As data sources expand, the dependence on multiple applications and manual integrations becomes increasingly inefficient and unsustainable, making it challenging to deliver analytics-ready data efficiently. However, one key challenge in migrating to SAP S/4HANA is managing data that is often dispersed across multiple systems, including different ERP platforms, databases, and third-party applications. These systems frequently have incompatible data formats and schema.

Analytics 2.0? How to Leverage the Cloud to Get All Your Data

To address this cloud migration opportunity/benefit, Precog has developed a cloud platform that automates the extraction and loading of data from over 2000+ API sources. Using an AI-driven approach, Precog automatically generates the necessary tables, schemas, and endpoints for analytics, making the data instantly available for use in data warehouses like SAP BW/4HANA, HANA Cloud and Datasphere. This no-code solution simplifies data integration and eliminates the need for manual coding, significantly reducing time, effort, and maintenance costs for businesses. Precog is designed to work seamlessly with SAP BW/4HANA, HANA Cloud, Datasphere, and SAP’s Business Technology Platform (BTP). Precog simplifies data extraction/replication from most SAP applications like Concur, SuccessFactors, Ariba, Fieldglass, and S/4HANA, as well as non-SAP applications such as Microsoft 365, Workday, Salesforce, and Google Analytics.

Future-Proof Tools

By leveraging AI and machine learning, Precog eliminates the need for manual coding to establish data connections, making the process faster, more reliable, and easier to manage. This approach significantly enhances data accuracy and streamlines connectivity, enabling businesses to quickly derive value from their data. Precog’s cloud-based platform offers scalability and ease by providing connectors for various business applications, making it easier for organizations to integrate their API data sources. Traditional ELT/ETL solutions often fall short, requiring companies to use multiple tools and build custom connectors, leading to high operational costs and complex, fragile ecosystems.