Modernize your Legacy SAP Business Warehouse (BW) with Applexus

BW Modernization

Transform your SAP Business Warehouse (BW) into a cutting-edge data platform with our modernization solutions. We revive your on-premises SAP Business Warehouse (BW) by seamlessly migrating it to a secure, future-proof hyper-scaler environment. Leverage our pre-built tools and established methodologies for a smooth transition, minimizing downtime and disruption. Our modernization process unlocks improved agility, scalability, and cost optimization while safeguarding your existing data investments.

Our comprehensive suite of BW modernization offerings provides you with the flexibility and expertise to choose the path that best aligns with your specific needs and goals.

Datasphere

Seamlessly migrate and recreate your BW objects and queries in Datasphere, leveraging its advanced capabilities for simplified data management, self-service analytics, and unified governance.

Hyperscalers

Leverage leading hyperscaler platforms like Google BigQuery, Azure Synapse, or Databricks to gain unmatched performance, scalability, and cost-effectiveness.

Hybrid

Maintain the familiarity and security of your on-premises BW environment while tapping into the cloud’s agility and resources. Our DSP acts as a seamless pass-through layer, enabling hybrid deployments and a smooth transition to the cloud.

Applexus Advantage

Pre-Built Accelerators
Multiple Datasphere/BW Bridge/SAC Deployments
Delivers Speed to Value with Datasphere
Collaboration with Existing Datasphere Customers for Lessons Learned

AI Powered BW Migration Framework

Our modernization approach aims to integrate SAP with Hyperscaler platforms, extend S/4 Digital Core, analyze S/4 data with DSP and Hyperscalers for predictive insights, leverage AI & ML for various uses, transition to a cloud-based platform with a better user interface, and transform FP&A by combining analytics and planning, all to empower users with self-service and agility.

Re-Engineer

Migrate BW or BW4 to Datasphere using BW Bridge

Re-Design

Greenfield Datasphere or Hybrid. Leverage BW Bridge selectively as needed.

Re-Imagine

Greenfield Datasphere aligned with the transformation program

Re-Engineer Datasphere with BW Bridge Shell or remote conversion BW7.3 – B4HANA2021
Existing models not optimized

Secure your investments and move SAP BW models and queries to the SAP BW bridge with a tool-supported conversion.
The entity import in SAP Datasphere automatically creates a new analytic model in the data builder based on SAP BW artefacts and queries.

Re-Design

SAP Datasphere with SAP BW bridge Greenfield in parallel with SAP BW
Optimize as needed

Using BW Bridge, start with the development of a common data layer on legacy data in proven SAP BW technology with all unique functions such as transforming data, managing data loading with partitioning, monitoring, or error handling.
Combine proven SAP BW functionality with modern cloud architecture. Enable self-service and agility. Gradually retire BW.

Re-Design

SAP Datasphere with SAP S/4HANA Hybrid
(Integrate SAP BW and SAP Datasphere)

Combine existing data models from SAP BW with SAP Datasphere and gradually transition to implementing new use cases.
The entity import in SAP Datasphere automatically creates a new analytic model in the data builder based on SAP BW artefacts and queries.

Re-Imagine

SAP Datasphere – Core only
Greenfield in parallel with SAP BW

Build up a business data fabric without any of the constraints of a legacy deployment and approach.
Focus entirely on modernization and a simplified data landscape.

Re-Imagine

Greenfield SAP Datasphere with Hyperscaler
(AWS/Azure/Google/Databricks/Redshift)

Build a Modern Data Stack leveraging SAP Datasphere and AWS Data and Analytics tools. Datasphere provides tight integration with Hyperscaler Cloud Platform for data replication and federation.

Transitioning to a Data-Driven enterprise with SAP Datasphere

Implemented in just a few months, with rapid deployment of high-value use cases, Applexus enables Messer to realize business value faster

Read Succes story

Published by

SAP data and analytics solutions are at the heart of our strategy to become a data-driven enterprise. They help deliver insights faster and more accurately, giving employees a higher degree of confidence in the data they’re working with.

David Johnston

CIO, Messer Americas

SAP Datasphere helps Messer provide business users with the flexibility they need while also meeting IT governance requirements. It was also implemented in just a few months, delivering value quickly.

Deepu Sasidharan

Technical Advisor, Applexus Technologies Inc.

Get Started With BW Modernization Assessment

The Analytics Assessment is a strategic step towards optimizing your BW landscape and positioning your organization for future success with modern technologies like BW Bridge, Datasphere, and hyperscalers. At Applexus, our assessment process begins with thorough pre-work and analysis, engaging your Enterprise Architect, Basis, and Analytics teams to evaluate the current state of your analytics environment.

Through detailed discovery discussions with IT management and the analytics team, we uncover valuable insights into your data models, source systems, security structures, and customizations. This comprehensive assessment provides actionable recommendations, a tailored transition roadmap, and a clear strategy for migrating to a future-proof architecture that meets your business needs and enhances reporting and analytics capabilities.

Our pre-built solutions are designed to accelerate your digital transformation and deliver immediate value.

Usage Assessment

Comprehensive evaluation of the BW system, covering its data model, transformations, process chains, usage patterns, and year-wise volumetric trends to support future planning efforts.

Metadata Extraction

Gathering detailed metadata for BW objects, including entity names, schema types, CDS views, key columns, dependencies, and data flow, to facilitate analysis and optimization.

BW Object Lineage - Graph Representation

Creating visual diagrams to illustrate relationships between BW objects, showcasing data lineage, attribute flow, dependencies, and potential impact assessments.

BW Transformation Complexity Analysis

Evaluation of BW transformation complexity- Start, End, Field routine complexity, formula etc., to identify potential challenges and optimize performance.

POI Data Volume Sizing Calculation

Calculating data volume requirements for Premium Outbound Integration, encompassing S/4 and ECC tables as well as CDS Views.

Datasphere Replication Flow Generation

Automating the creation of Datasphere Replication flows for diverse sources and targets, including AWS, Azure, GCP, and Kafka.

Ingestion Framework

Leveraging a Spark-based, secure, and automated SAP Data Ingestion Framework to ensure accuracy, compliance, and timely insights.

GenAI-based Code Generation

Utilizing Gemini AI to generate SQL-based code (e.g., for Databricks or Google BigQuery) for BW process migration.

Real-Time Data Replication

Establishing a framework to ingest S/4 and ECC data in real time using Kafka, enabling subsequent processing and storage in Hyperscalers for real-time analytics.

BW Security Migration

Automated transfer of security authorizations, roles, row level, column level, object level security from BW systems to Hyperscalers (Databricks, Snowflake, GCP) ensuring consistent access control and data protection.

HANA Views to SQL Conversion

Converting HANA-based data views into equivalent SQL statements for deployment in Hyperscalers and databases.

Function Module Migrations

Transforming SAP's pre-built function modules, such as currency and unit-of-measure conversions, into formats usable by Hyperscalers.

Standard Content Solution

Offering pre-built data models and dashboards for functional areas such as Order-to-Cash, Asset Management, Inventory Analytics, and Project System Analytics.

Strategy Accelerator

Strategy- predefined framework & templates that will help to choose the appropriate path of BW Modernization (Greenfield/Brownfield)

Hierarchy Flattening

Transforming hierarchical data structures such as Product Inventory and Account Master Hierarchies into flat formats to enhance integration and query efficiency.