Missing or late data (eg NAV or pricing data) |
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Incomplete data (eg transaction without account ID or security identifier) |
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Inconsistent data – time series (new data point outside usual value range) |
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Inconsistent data – internal (data does not match between internal systems) |
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Inconsistent data – external (data does not match with counterparties, eg broker) |
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Data not in machine-readable format (emails, natural language, analogue sensor data) |
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Data in incompatible formats (intra-system and between counterparts) |
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Data needs to be manufactured, calculated, or derived before it can be used (eg for risk analysis) |
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Context: some high value or highly-sensitive exceptions can be automated but are subject to human oversight for reasons to do with compliance, risk management or customer impact |
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