A project manager wants to improve forecasting but historical data contains known errors. What should happen before relying on it?

One option

A project manager wants to improve forecasting but historical data contains known errors. What should happen before relying on it?

Validate and clean the relevant data, and understand its limitations

Use it unchanged because historical data is always reliable

Discard all historical data permanently

Adjust results until they match the desired forecast

A project manager wants to improve forecasting but historical data contains known errors. What should happen before relying on it?

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