BW Modernization
SAP BW 7.5 is nearing its end of life — but that doesn’t mean your business intelligence journey has to. At Applexus, we help enterprises transform legacy BW systems into modern, intelligent, AI-ready data platforms powered by the SAP Business Data Cloud (SAP BW/4HANA, SAP Datasphere and beyond), or by hyperscaler-native solutions.
We tailor modernization to fit your organization’s readiness and ambition.
Quick Compliance
Upgrade to SAP BW 7.5 Private Cloud Edition (PCE) for short-term support extension with minimal disruption.
Strategic Upgrade
Move to SAP BW/4HANA PCE to gain performance, scalability, and enhanced data modelling capabilities.
Intelligent Transformation
Reimagine your data landscape with SAP Datasphere or hyperscaler platforms, enabling cross-source analytics and AI/ML.
Where Do You Stand Today?
Not sure which path is right for you? Start with a free BW readiness assessment. We’ll analyze your current environment and recommend the most effective modernization strategy.
Our expert-led, three-phase assessment delivers a complete diagnostic of your current BW environment and a clear path forward:
In-depth system analysis
with architecture diagrams, usage patterns, and performance insights
Strategic discovery sessions
to uncover current gaps, business needs, and future-state vision
A tailored roadmap
with architecture options and effort estimates that aligns with organisational goals
Get the clarity you need to modernize confidently — from quick wins to long-term strategy
Ready-to-deploy and engineered with domain intelligence, our accelerators help you cut through complexity, compress timelines, and unlock business value faster—so you can move smarter, scale quicker, and realize ROI from day one.
Usage AssessmentComprehensive 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 ExtractionGathering 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 RepresentationCreating visual diagrams to illustrate relationships between BW objects, showcasing data lineage, attribute flow, dependencies, and potential impact assessments.
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.
At Applexus, we partner with SAP customers to transform BW into modern data platforms that deliver measurable business value and future-proof your analytics. Our unique expertise and approach ensure your BW modernization success:
Trusted by Industry Leaders
Implemented in just a few months, with rapid deployment of high-value use cases, Applexus enables Messer to realize business value faster
Read Succes storyPublished 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.
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You’ll lose access to mainstream support, patches, and innovations — increasing your security and compliance risk.
It depends on your data complexity, AI maturity, and strategic cloud goals. We’ll help you assess and decide.
Yes — Datasphere is designed for open, federated data access across SAP and third-party systems.
It ranges from 8–32 weeks depending on complexity, migration path, and integrations.
Accelerators reduce complexity and significantly shorten project timelines. Applexus uses proprietary, ready-to-integrate tools and templates to automate assessments, code remediation, data modeling, and validation. This not only improves accuracy and consistency but also accelerates time-to-value—especially important for large, complex landscapes.
Data quality is a top priority in our methodology. We use automated validation scripts, lineage tracking, and reconciliation tools to ensure consistency between source and target systems. Our process also includes checkpoints for business user validation, making sure what you migrate is not only technically sound but also trustworthy and relevant to stakeholders.
Yes, phased modernization is often preferred—especially for minimizing disruption and de-risking the initiative. We help customers start with assessment and prioritization, then modernize in logical increments (by business unit, data domain, or workload), ensuring business continuity while steadily evolving the data platform.