One simple example of data skewing is reporting costs over a long period of time. Dollars in the year 2024 are not the same as dollars in the year 2014. If you are not compensating for inflation, you are delivering misleading information. Obtaining too small a sample or a non-random sample are other common ways that data can be skewed.
Reduce the amount of information generated by eliminating redundancies and standardizing where possible. Financial reports, like manpower metrics, can usually be centralized and standardized for all departments. There are those unique metrics that can't be standardized for all departments, but many of these can be standardized across divisions.
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