CASE STUDY Pension Data and Reporting Fears, Agonies, Limits and Labour (FALL) Integrated Data Management for a Leading Asset Manager
PROBLEM Volumes Attract, but Handling Scares Asset-type Classification confusion Duplicate data due to multiple vendors Multiple trustee feeds Changes to data feeds/ventors Proportional cost increase with volume increase Addition of new data feed/vendor FALL Factor Fears Agonies Limits Labour
SOLUTIONS Standardise and Unify for Simplicity External Internal Data Vendor 1 Standardised Central Data Store Data Vendor 2 MF ETF Data Rules Map Nomenclature Standardiser Automated ETL Process Extract Load Transform Data Vendor n HF Treasury Security FALL Factor Fears Agonies Limits Labour
FEEDBACK Savings Time/Feed Cost Elasticity Hardware Software From 4 hours to < 1 Minute Reallocated 75% of the team Up to 100x Reused existing servers Built on prevailing licenses Feeds Types Total Volume and Variety Performance, Holdings, Market Data, Actuarial, Risk Systems ~100 (5 per type per client) Automatic classification of ~50K line items/day into 35+ asset types Head of Trustee Relations and Operations After trustee feed mappings were done, my team rejoiced to see the whole information dump becoming information haven at the blink of their eyes. Team morale is up as they are now focusing on helping business rather than feeding incoming data to spreadsheets. 4
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