Rules analyzer system and method for evaluating and ranking exact and probabilistic search rules in an enterprise database

A system for uniquely identifying an object record in a database of object records according to a plurality of exact and probabilistic search rules, comprising:

• logic configured to receive application identification information and attributes corresponding to a target object contained in the database of object records;
• logic configured to execute one or more exact-match search rules to search the database of object records for the target object;
• logic configured to execute one or more user defined probabilistic search rules to search the database of object records for the target object if the exact-match search rules retrieve no object record identical to the obtained application identification information and attributes, wherein a list of probable matches to the target object are retrieved and ranked by degree of match probability;
• logic configured to receive user input of selection of one retrieved object record determined to be the target object record;
• logic configured to update the database of object records in real time for the selected target object with new attributes and information associated with the target object;
• logic configured to determine the efficiency of the exact-match and probabilistic search rules according to a plurality of collected statistics for each search rule;
• and
• logic configured to adjust a sequence of execution of the exact-match and probabilistic search rules in descending order by efficiency.

A rules analyzer method to evaluate and rank search rules for searching a computer database of records, comprising the steps of:

• collecting a plurality of statistical performance values regarding each search rule;
• assigning a priority value for each search rule according to the collected statistical performance values;
• and
• ranking the search rules according to the assigned priority.