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
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.
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.
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.
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.
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.
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.Auto distributor/
dealership
- Seamlessly transitioned from Microsoft SQL + Tableau to DSP + SAC framework.
- Enabled real-time insights and self-service analytics.
- Implemented Hub and Spoke model for agility.
- Adopted MVP approach for rapid prototyping and accurate forecasting.
Consumer and industrial adhesives, sealants and coatings
- Assisted client in adhesives sector transition from BW to Datasphere.
- Maximized investments and empowered deeper insights.
- Enhanced data access and decision-making capabilities.
Manufacturer of
saw chains
- Explored BW Bridge, Greenfield, and Hybrid approaches for the client.
- Migrated from BW to Datasphere, retiring outdated systems.
- Ensured comprehensive data insights while optimizing investments.
- Positioned client for greater efficiency, agility, and competitiveness.
Business Data Fabric integrating SAP and Non-SAP applications
Transforming Analytics for a Global Industrial Gas Provider
- Replaced Tableau with SAC for 100+ analytics use cases across operations, sales, and maintenance.
- Integrated SAP and non-SAP systems into a unified Business Data Fabric.
- Built custom apps on SAP BTP for enhanced self-service analytics.
Agility and Self-Service for the Business Performance Team
Agility and Self-Service for the Business Performance Team
- Trade spend, Brand Share, Pricing, Retail Sales, Volume forecasting, Category analytics.
- Self-serve model for Business Performance Team.
- Datasphere + SAC + Google Cloud.
Advanced Analytics with SAP Datasphere & Google Big Query
Enhancing Sales Analytics for a Leading Retail Chain
- Implemented SAP Datasphere and Google BigQuery for advanced analytics on YoY sales trends across store and product hierarchies.
- Analyzed WoW trends for focused products and associated items using machine learning models.
- Provided real-time insights by integrating SAP Datasphere with Google Cloud for data-driven decision-making.
Enterprise Asset management Analytics
Streamlining Asset Management Analytics for a Diversified Mining Company
- Integrated SAP data with Azure Data Lake to provide comprehensive asset management analytics.
- Delivered insights on schedule compliance, workforce utilization, and work order backlogs.
- Enabled a unified view of operational data for improved decision-making and efficiency.
Meeting the needs of integrated view of enterprise data
Driving Data Integration for a Global Technology Leader
- Integrated SAP Datasphere with AWS for a distributed data architecture.
- Implemented premium outbound integration for FP&A and planning use cases.
- Delivered centralized, predictive, and collaborative planning through SAC.
Accelerate Financial Decision Making with Advanced Analytics
Accelerating Financial Decisions for a Global Innovator in Computing
- Built a cloud-based finance data warehouse consolidating S/4HANA, Allegro, and Ariba data.
- Developed cash position analytics and forecasting models.
- Implemented a comprehensive change management strategy for financial agility.
Fueling growth - Pioneering an agile, self-service FP&A platform
Fueling Growth with a Self-Service FP&A Platform for a Global Enterprise
- Enabled self-service LOB analytics using SAP Datasphere, SAC, and Power BI.
- Provided centralized, predictive, and collaborative planning.
- Pioneered an agile platform for enhanced financial planning and analysis.