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Data reconciliation is a technique that targets at correcting measurement errors that are due to measurement noise, i.e. random errors.From a statistical point of view the main assumption is that no systematic errors exist in the set of measurements, since they may bias the reconciliation results and reduce the robustness of the reconciliation.
Stock-taking or "inventory checking" or "wall-to-wall" is the physical verification of the quantities and condition of items held in an inventory or warehouse. This may be done to provide an audit of existing stock. It is also the source of stock discrepancy information.
In industrial process plants, using the fact that the mass entering and leaving any portion of a process plant must balance, data validation and reconciliation algorithms may be employed to correct measured flows, provided that enough redundancy of flow measurements exist to permit statistical reconciliation and exclusion of detectably ...
For example, if inventory exists in location A, B, and C and someone physically moves C to D without transaction, the inventory control system will continue to show inventory in A, B, and C. At the time of cycle count, the control system will direct the counter to A, B, and C where they will find C missing.
In accounting, reconciliation is the process of ensuring that two sets of records (usually the balances of two accounts) are in agreement. It is a general practice for businesses to create their balance sheet at the end of the financial year as it denotes the state of finances for that period.
When this information is found, the amount of goods is multiplied by their purchase cost at their purchase date to get a number for the ending inventory cost. In theory, this method is considered the most accurate since it directly relates the ending inventory goods to the specific price they were bought for.
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