Compliance reporting, automated.
We automated fund-administration compliance using Azure Data Factory and ETL pipelines, replacing manual reporting with reliable, auditable data flows.
The engagement
Automating fund administrator compliance with Azure Data Factory & ETL pipelines
The challenge
Compliance reporting for fund administration was assembled by hand: data gathered from multiple systems, reconciled in spreadsheets, and checked under deadline pressure. Every cycle carried operational risk and consumed senior time.
What we built
We automated the compliance flow end to end with Azure Data Factory and ETL pipelines: scheduled ingestion from source systems, validation and transformation rules encoded once and versioned, and outputs that regulators and auditors can trace back to source.
The outcome
Manual reporting was replaced with reliable, auditable data flows. Compliance cycles run on schedule instead of overtime, every figure traces to its source, and the team’s time went back to exceptions instead of assembly.
This engagement sits in our banking sector practice and drew on data engineering and data security & governance. The method behind it is the same everywhere: see how we work, or read the other case studies.
Services used
What powered this engagement.
Data engineering
Robust, cloud-native pipelines and Azure data engineering that move data reliably at scale.
Data security & governance
Secure, compliant and auditable by design, built for long-term growth.
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