Manage market data
How manage market data are reshaped as AGI capability advances.
The bottom line
Roughly 90% of the work in Manage market data is information-shaped — already within reach of AI delivery. The question here is not whether it shifts, but which tasks go first and who staffs the residual.
Why: Derived from the process name and industry context (banking and insurance). 'Manage market data' is an information transformation process reliant on software, databases, and quantitative analysis, making it a pure knowledge-work activity.
grounded in the economy graph · digital scalar 0.90 · digital
Business-as-Code
Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.
Manage market data sits inside a larger value-flow — 1 parent structure it composes into. The hierarchy is grounding, not the story: it tells you which aggregate exposure Manage market data inherits.
Where Manage market data sits
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How the work flows
Trigger: Market data feeds from exchanges, central banks, and third-party vendors arrive at the institution's ingestion layer.
- Ingest real-time and end-of-day data feeds from vendors and exchanges
- Validate incoming data for completeness and formatting compliance
- Detect and resolve pricing anomalies or stale data points
- Normalize heterogeneous data into standardized internal formats
- Distribute approved data to trading, risk, and ledger systems
- Archive historical data for back-testing and compliance audits
Outcome: Validated, normalized market data is continuously available to downstream trading, valuation, and risk management systems.