Operational data is designed to support fast transaction processing and might need to be reformatted to be useful for Business Intelligence systems.
basic reports and simple OLAP analyses can be made directly from operational data
Operational data can be extracted into facilities called data warehouses and data marts to prepare, store and manage data for data mining
-Dirty Data- misspellings, insufficient, etc.
-Inconsistent Data- Changes in phone numbers, customer addresses
-Data not integrated- Using separate programs to store data
-Wrong granularity- too fine or not fine enough
-Too much data - too many data points and attributes