Unfortunately both databases are unable to create good data, so both are poor. Second poor data quality makes it more expensive to adopt new technologies. Customer service representatives and others on the front line who deal with customers who are angry, upset, and confused are especially impacted employees. Data warehouses and data mining will allow decision makers to routinely analyze data new ways to better understand customer needs, reduce costs and find new sources of value. In this situation if we have poor data quality the signs are not good.
Decision making by nature involves risk, and poor data certainly increase that risk level.
The data are unique asset and their advantage lies in that uniqueness. Consider customer data. Customer data are a virtual treasure chest- rich with insights into customer's behavior and individual needs. The data value is highly dynamic. They renew themselves with each transaction.