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(ECC, S/4HANA, BW, BTP, Ariba, Concur, SuccessFactors) and non-SAP sources produce silos, duplication, and inconsistent semantics.
blocks trusted reporting, delays S/4HANA prep, and undermines analytics, forecasting, and AI applications.
is excellent for transactions but not designed for real-time, cross-domain analytics or AI feature pipelines.
and risk climb without lineage, access controls, and policy enforcement spanning SAP + non-SAP data.
A modern data transformation layer that turns SAP (and surrounding) data into clean, unified, governed, and AI-ready intelligence on a Databricks Lakehouse.
Ingests SAP + external data at batch/streaming speeds
Cleans & standardises with MatchX rules & steward workflows
Unifies & models with clear business semantics and lineage
Governs via Unity
Catalog policies, roles,
and audit trails
Activates insights in AI/ML, BI, and downstream apps/systems
Powered by MatchX for profiling, cleansing, and matching, and Databricks for Delta tables, DLT/Workflows, and Unity Catalog, DataWise is a comprehensive, end-to-end foundation. It's not just another MDM or reporting tool—it’s the backbone for trustworthy analytics, AI, and S/4HANA migration readiness.
We integrate data across core SAP modules (RTR, OTC, PTF, P2P, SD, MM, PP) and adjacent platforms like Ariba and Concur, landing and modeling it in a scalable, cost-effective Databricks Lakehouse on your preferred cloud.
Automated profiling, cleansing, and validation ensure accuracy and completeness, so stakeholders can trust every dashboard and model output.
Streaming and incremental pipelines unlock timely KPIs and interactive dashboards, reducing decision latency across all functions.
Using Databricks ML, we enable predictive and prescriptive use cases like predictive maintenance, fraud detection, and demand forecasting.
Pre-configured cataloguing, lineage, access controls, and rule libraries help you meet compliance requirements while improving adoption and auditability.
Our data analytics services are designed to support complex enterprise environments across industries, including:
Pre-built SAP Connectors for ECC, S/4HANA, BW, BTP, and more—speeding up integration and time-to-value.
Data Model Templates tailored to common SAP modules and industry patterns accelerating design and harmonization.
Automated Data Pipelines using Databricks and SAP integration tools
(e.g., SAP Data Services, SAP BTP Integration Suite).
Data Governance Framework with catalogue, lineage, access control, and data quality rules out of the box.
Reference Architectures and implementation playbooks to derisk delivery.
Business Outcome Framework to define, measure, and realize tangible value.
A modern data transformation layer that turns SAP (and surrounding) data into clean, unified, governed, and AI-ready intelligence on a Databricks Lakehouse.
to proactively spot inconsistencies, anomalies, and gaps in your data.
(exact, fuzzy, and probabilistic) to deduplicate and link data across SAP and non-SAP sources.
with configurable rule sets to ensure consistency.
for unstructured data (PDFs, images) alongside structured records.
for review, approval, and continuous improvement, ensuring quality is an ongoing process.
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Faster Go-Live
Improved Process Efficiency
Cost Savings via Automation & Testing Tools
Reduction in Migration Errors
Stay current with the strategies, trends, and technologies defining the next era of digital excellence.
Innovating Ideas. Delivering Results.
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