A cost trend chart helps you track the impact of invalid data on high-value records. Occasionally, when you use a fixed cost to compute invalid data, you might miss out on the impact of invalid data on high-value records. This issue happens because the trend charts might show an improvement in the score and decrease in the overall cost over multiple scorecard runs. However, the fewer data quality issues represented in the scorecard might exist on high-value records.

The following image shows a sample cost trend chart:

Example

In a financial institution, you have multiple high-balance customers with large deposits and investments, such as $10 million, in the bank. You also have a large number of low-balance customers. The score trend chart might show an improvement in scores over a period of time. However, an incorrect address or gender on a few high-balance customer accounts might impact the relationships with the most valuable customers of the organization. You can set the Account Balance column as the variable cost column for computing invalid data. If the cost of invalid data due to the column is high, you can consider the total value at risk and take immediate, corrective action.