Data in a data warehouse are in a stable state. Explain how this can hamper data mining analysis? What can an organization do to alleviate this problem?

Typically transaction data are loaded into the warehouse only when the activity on them has been completed–they are stable. Potentially important relationships between entities may, however, be absent from data that are captured in their stable state. For example, information about cancelled sales orders will probably not be reflected among the sales orders that have been shipped and paid for before they are placed in the warehouse. One way to reflect these dynamics is to extract the operations data in slices of time. These slices provide snapshots of business activity.