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Speed is the greatest value we deliver. Our accelerator bypasses the most time-intensive stages of a data project, delivering trusted, analytics-ready SAP data to business users in a fraction of the time.
Reduce reliance on costly SAP specialists with automated data mapping and logic translation. Our accelerator speeds SAP BW decommissioning while cutting licensing, maintenance, and infrastructure costs.
Transform cryptic SAP tables into a business-friendly semantic layer. This “Rosetta Stone” lets analysts and data scientists easily query and unlock self-service BI and analytics - no deep SAP expertise required.
Move beyond SAP BW with a flexible analytics foundation. Our accelerator delivers a clean, standardized model unifying SAP and non-SAP data - ideal for advanced analytics, machine learning, and AI.
Colgate-Palmolive modernized its SAP analytics by integrating SAP R/3 and BW data into Snowflake using HVR, Fivetran, and dbt within a CI/CD pipeline on GCP, GitHub, Airflow, and Kubernetes. The project unified SAP, third-party freight, and retailer POS data to deliver vendor compliance, omnichannel, and Cost To Serve insights, rebuilt Flash Sales reporting, reduced SAP costs, and empowered teams to innovate using familiar analytics tools.
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Leading airport retailer Paradies Lagardère transformed its analytics by leveraging Snowflake as its unified data platform and Matillion for ELT. By integrating key data sources like SAP, the company enabled daily inventory tracking and transaction-level sales analysis. This powerful new framework allowed them to retire costly legacy systems, significantly reducing their total cost of ownership. Now, with a holistic view of its business data in Snowflake, Paradies Lagardère has accelerated its time to insights and enhanced overall team agility.
Rush Enterprises, North America's leading commercial vehicle retailer, transformed its enterprise reporting by migrating its legacy SAP BW system to a modern data platform powered by Snowflake and dbt. Leveraging near real-time data replication from SAP ECC, the new architecture enabled granular, transaction-level analytics for deeper business intelligence. This strategic modernization allowed Rush to retire costly legacy infrastructure, significantly reducing its total cost of ownership. The company now has a unified view of its dealership data in Snowflake -from sales and service to parts inventory -empowering teams with self-service analytics for faster, data-driven decision-making and improved operational excellence across its network.
Cellnex, a leading telecommunications infrastructure company, modernized its data strategy by extracting its SAP data and unifying it within Snowflake using Talend. This new framework blends granular SAP data with non-SAP sources like Salesforce and IoT, feeding near real-time insights into self-service Power BI dashboards for key business units. By retiring its legacy SAP BW infrastructure, Cellnex significantly reduced its total cost of ownership and broke free from vendor lock-in. This agile approach accelerates time-to-insight, empowering teams with the critical data needed to make faster, more informed decisions and maintain a competitive edge.
