BW Modernization
End of support for BW by 2027
Lack of self-service functionality
Limited effective AI/ML integration
Lack of integration with hyperscaler platforms
Lack of integration with SAP and non-SAP cloud (SaaS) applications
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
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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.
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.
SAP BW PCE on SAP Business Data Cloud
- Transition to the cloud while leveraging existing BW investments
- On-prem to BW PCE without need for Datasphere
- Extended support till 2030 for BW 7.5
- Create Data products from BW PCE and have it used by Databricks for AI/ML workloads
SAP Datasphere & BW Bridge
- Transition to the cloud while leveraging existing BW investments
- On-prem to BW PCE without need for Datasphere
- Extended support till 2030 for BW 7.5
- Create Data products from BW PCE and have it used by Databricks for AI/ML workloads
SAP Datasphere (Greenfield)
- Build a cloud-based modern data platform leveraging latest modeling techniques
- Near real-time access to SAP S/4HANA data
- Self-service capabilities for LOB users
SAP Datasphere (ingestion tool) & Hyperscaler
- Build a modern data platform using Databricks, Google Big Query, Azure Synapse, Microsoft Fabric or Snowflake
- Leverage SAP Datasphere to ingest data to the target platform
- Will require re-building core SAP business logic within the target platform
- Tight integration with AI/ML capabilities
- Requires upskilling the existing SAP Analytics teams
BW/4HANA
- SAP Provides mainstream support till 2040
- Does not have a roadmap for new features and functionalities
- On-prem or PCE deployment options
Not sure which approach fits your business? Get a Free BW Modernization Assessment
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Oil and Gas
SAP Datasphere for Data Management & Analytics
SAP Datasphere and Analytics Cloud unified analytics platform, integrating SAP and non-SAP data enabling modern data architecture, self-service analytics.SAP Datasphere | SAP Analytics Cloud
Automotive
Trade Spend & Retail Sales Analytics
Improved trade spend and pricing analysis by enabling self-service analytics for sales forecasting and category insights.SAP Datasphere | SAC
Mining
Enterprise Asset Management Analytics
SAP Datasphere, Analytics Cloud & Azure integration delivered real-time asset management analytics-maintenance tracking, optimized workforce utilization, and faster compliance reportingSAP Datasphere | Azure Integration
Oil and Gas
Real-Time Financial Analytics
Enhanced cash forecasting and financial planning by integrating real-time cash position calculations, improving accuracy and agility.SAP Datasphere | AWS Redshift SageMaker | SAC
Energy
Financial Data Modernization for Margin Improvement
Implemented advanced analytics to optimize gross margin and revenue planning with real-time cost and revenue insights.SAP Datasphere | SAC Planning Azure Databricks
Our BW modernization framework ensures a smooth transition to a modern data landscape. We begin by understanding your needs and assessing your current environment. Then, we develop a tailored migration strategy and execute it with our proven methodology and specialized tools, ensuring a successful outcome and unlocking the full potential of your data.
BW Questionnaire Responses and Future State analytics Strategy
BE Assessment Tools covering current state and Data Volume Analysis
Technology mapping, migration workshop, migration planning
Overall migration implementation plan & approach using Greenfield or Brownfield approach
Migration execution and support
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.4-HOUR Workshop on BW Modernization
Are you curious about the different options you have for moving from SAP BW Modernization? If yes, we have got news for you!
Join our 4-Hour Workshop on BW Modernization and fast track your BW Move with the help of our Analytics Advisor SMEs.
Register NowSpeakers
Buntic Georgian
Strategic Advisor,
Applexus Technologies
Deepu Sasidharan
Technical Advisor,
Applexus Technologies
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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.