100MN+ rows of data per day processed for improved trade surveillance
Successfully resolved the diverse data challenges faced by a top tier investment bank, covering data pipelines, data integrity, surveillance, and alerts, among others.
Business Challenges
Difficulties in setting up complex trade surveillance, making it regulatory compliant and improving overall system performance.
Sigmoid’s Solution
Used Spark-based ETL to deliver improvements in the data pipeline in terms of performance and resource optimization, reducing timelines from T+3 to T+1
Business Impact
With 4x faster response times and improved performance optimization from T+3 to T+1 timelines, our adhoc surveillance platform delivered significant gains in the overall orchestration.
