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Accelerate Your Data Journey With Unified Databricks and SAP Data Landscape
We deliver unified analytics and AI-driven solutions that merge SAP's robust data capabilities with Databricks’ Lakehouse Platform, enabling scalable, industry-specific transformations that drive measurable ROI. Together, we accelerate your journey to smarter, data-driven decisions.
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Why Choose Applexus? Your Trusted Partner for SAP & Databricks Solutions
- Industry leading Data and Analytics practice
- Strong and collaborative SAP & Databricks partnership
- Proprietary analytics accelerators
- Leverage our expertise with 15+ successful data landscape modernizations across industries.
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.
Retail and Consumer Goods - Real-time inventory management to reduce stockouts by 40%.
- Personalized marketing strategies powered by advanced customer segmentation.
Healthcare and Life Sciences - Predictive models for patient outcomes, enabling precision care.
- Unified health records for streamlined clinical research.
Manufacturing - Real-time production monitoring for increased efficiency.
Financial Services - Fraud detection systems using AI-driven anomaly detection.
- Risk management solutions for regulatory compliance.
An independent oil and gas exploration and production company
Enhanced self-service analytics and scalability by integrating SAP Datasphere with Azure Databricks for real-time data connections. The solution minimized redundancy via data federation, optimized relational models for Power BI, and introduced a no-code business modeling environment for agility and cost efficiency.
Leading transportation company
Developed an SAP Analytics Cloud (SAC) planning solution, consolidating disparate analytics processes and reducing dependency on spreadsheets. By harmonizing data via CDS views and enabling intuitive dashboards, the solution provided self-service analytics, automated planning functionalities, and insights-driven decision-making.
An AI computing giant
Modernized the client’s data platform by integrating Databricks and Snowflake with SAP BW/4HANA and S/4HANA. The solution aligned SAP systems with Hyperscaler platforms to support growing AI and data science needs, ensuring seamless integration, optimized data access, and scalable analytics capabilities.
A leading global petrochemical company
Migrated the client from a legacy SAP BW environment to a modern infrastructure combining SAP Datasphere and Databricks. Using automation tools for metadata extraction and HANA-to-SQL conversion, the solution reduced manual effort, improved scalability, and lowered operational costs while enabling seamless integration with modern analytics platforms.
American manufacturer of backup power generation products
Implemented a scalable ETL pipeline using SAP Datasphere to replicate SAP ECC data into Databricks, ensuring seamless data reconciliation, schema evolution, and metadata management. Automated JSON-driven ingestion and standardized data curation enabled advanced analytics while empowering the client’s team with the knowledge to manage the solution independently.
Premier American gold producer
Transitioned the client’s finance data flows from Alteryx to SAP Datasphere and Databricks, ensuring accurate reconciliation and delta enablement for SAP ECC and S/4HANA data. A collaborative requirement gathering process, comprehensive testing, and hypercare support ensured a smooth deployment and improved analytics capabilities.
Assessment
Kickstart your Hybrid Data Architecture journey with our Assessment:
- Assessment of your data architecture- Pre-work and Analysis
- Discussions with Stakeholders
- A detailed roadmap for scaling AI and analytics solutions- Recommendations Read-Out