This　paper　suggests　the　structure　of　patent　data　integration　and　analysis　based　on　business　intelligence　(BI)　to　help　enterprises　make　the　effective　decisions　about　patent　strategy　and　orientation　of　technological　development　by　extracting　effective　information　from　mass　data.　Firstly,　the　patent　data　is　acquired　from　heterogeneous　data　sources　into　the　local　database.　Then,　we　can　load　the　business　data　into　the　data　warehouse　after　fulfilling　the　data　extraction,　transformation,　and　cleaning　through　extraction-transformation-　loading　(ETL)　tools.　Thirdly,　the　patent　analysis　based　on　key　performance　indicators　(KPI)　is　performed　with　data　mining　models.　Finally,　the　patent　graphs　drawn　by　KPI　analysis　can　be　published　on　the　Microsoft　Office　Share　point　Server　(MOSS)　platform　to　realize　information　sharing　and　centralized　management.　©　2010　IEEE.