Map the Work Between Market Data and Decisions
See where trusted market data loses time, consistency, or usability as it moves from provider access into analysis, execution, and risk systems.
The work required to make market data usable is often spread across analysts, risk teams, data engineers, ETRM administrators, and IT. Data code and dataset searches; mapping; file preparation; polling; correction checks; calendar maintenance; and failed handoffs can all add friction before analysis begins. We call this Invisible Data Work.
What our data workflow assessment covers:
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Trace market data from provider access through discovery, ingestion, maintenance, and downstream use.
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Identify manual searches, mapping, reformatting, scheduled pulls, polling, corrections work, calendar work, and specialist dependencies.
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Prioritize one or two points where data most clearly loses time, consistency, or usability.
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Agree on the most relevant next step based on the workflow reviewed.
