Cloud Modernization Leads to Reliable and Automated Data Insights

Our client, a leading package service provider with 600+ operating facilities, was faced with several issues regarding data. They did not have a centralized data repository for business users, were manually forecasting model reports, and dealing with issues from working with multiple cloud providers, databases, and reporting tools. The absence of automated business insights, paired with unavailable source databases, caused data discrepancies with modifications. There were also inconsistencies across Azure layers, due to data silos having different source refresh times. Ultimately, our client needed a modern data platform for FP&A functions to serve the needs of their Ground Financial Systems & Data (FS&D).
Ascendion played the role of a strategic partner. We provided deep data engineering expertise in data strategy and architecture, DataOps, and MLOps. By leveraging modern data strategies and technology expertise, we accelerated FS&D data product delivery and optimized costs. Our data solution derived reliable and efficient insights.

Trusted by Clients. Respected by Partners.

Clients cite strong leadership, responsiveness, and reliable delivery. Partners point to engineering depth, SME coverage, and a steady focus on outcomes over activity.

Business Impact

100% reduction in manual intervention for data transformation

18-month rolling forecast produced monthly

Enhanced ability to flex variable costs with demand in a timely manner

Improved financial performance through proactive P&L management

Early warning indicator spanning fiscal years

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