ne of the problems with an MIS framework is that the quality of the system depends largely on the quality of its data. If the data is insufficient, incorrect or misplaced, the decisions that managers make based on that data can be faulty. For example, a business owner finds a client order of 100,000 units in the MIS system. He orders additional components from his suppliers to meet that order. However, the actual order was only for 10,000 units. The owner unwittingly over-orders the components, costing the company thousands of dollars.