The Challenge |
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| Finance reports and analytics heavily relied on a legacy data warehouse and multiple Azure Data Factory (ADF) pipelines pulling data from diverse operational systems. As data volumes increased, pipeline failures, data refresh delays, and slow reports became more frequent. This hindered visibility into billable hours, client spend and revenue forecasting — impacting decision-making, cash flow control and leadership confidence in financial insights. | |
Our Approach |
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The AES Group delivered a Proof-of-Concept re-architecture targeting the most critical finance ETL workloads. We improved pipeline orchestration and introduced parallelization and partitioning strategies, and applied performance optimization best practices using Azure Data Factory. The POC validated technical uplift while ensuring compatibility with the client’s existing analytics tools. |
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Our Outcomes |
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Through targeted modernization of its finance data warehouse pipelines, the organization realized potential measurable improvements including:
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