Question: Veracity refers to the extent to which data can be trusted for insights. Reasons for low veracity include missing data, data errors, data redundancies. Which

Veracity refers to the extent to which data can be trusted for insights. Reasons for low veracity include missing data, data errors, data redundancies. Which best describes the outcome from low veracity when analyzing data?

Inconclusive or faulty analysis

Low AIS fault tolerance

Slowing of processes

Poor handling of ETL

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