Influencing behavior of enterprise operations during process enactment using provenance data
View Patent ↗Techniques are disclosed for influencing behavior of enterprise operations during process enactment using provenance data. For example, a computer-implemented method of influencing a behavior of an enterprise process comprises the following steps. Provenance data is generated, wherein the provenance data is based on collected data associated with at least a partial actual execution of the enterprise process and is indicative of a lineage of one or more data items. A provenance graph is generated that provides a visual representation of the generated provenance data, wherein nodes of the graph represent records associated with the collected data and edges of the graph represent relations between the records. At least a portion of the generated provenance data from the graph is analyzed to generate an execution pattern corresponding to the at least partial actual execution of the enterprise process. The execution pattern is compared to one or more previously stored patterns. A determination is made as to whether or not to alter the enterprise process based on a result of the comparison.
1. A method of influencing a behavior of an enterprise process, comprising the steps of:
generating provenance data, wherein the provenance data is based on collected data associated with at least a partial actual execution of the enterprise process and is indicative of a lineage of one or more data items;
generating a provenance graph that provides a visual representation of the generated provenance data, wherein nodes of the graph represent records associated with the collected data and edges of the graph represent relations between the records;
analyzing at least a portion of the generated provenance data from the graph to generate an execution pattern corresponding to the at least partial actual execution of the enterprise process;
comparing the execution pattern to one or more previously stored patterns; and
determining whether or not to alter the enterprise process based on a result of the comparison,
wherein one or more of the steps of generating, analyzing, comparing and determining are performed by a computer.
2. The method of claim 1 , wherein the one or more previously stored patterns comprise one or more recommended execution patterns.
3. The method of claim 2 , wherein the enterprise process is altered when a discrepancy is determined between the execution pattern and the one or more recommended execution patterns.
4. The method of claim 1 , wherein the one or more previously stored patterns comprise one or more non-recommended execution patterns.
5. The method of claim 4 , wherein the enterprise process is altered when a match is determined between the execution pattern and the one or more non-recommended execution patterns.
6. The method of claim 1 , wherein the enterprise process is altered during the execution thereof.
7. The method of claim 1 , wherein the altering of the enterprise process further comprises stopping the enterprise process.
8. The method of claim 1 , wherein the altering of the enterprise process further comprises sending an alert and continuing the enterprise process.
9. The method of claim 1 , wherein the altering of the enterprise process further comprises stopping the enterprise process and starting a new enterprise process.
10. Apparatus for influencing a behavior of an enterprise process, comprising:
a memory; and
a processor coupled to the memory and configured to:
generate provenance data, wherein the provenance data is based on collected data associated with at least a partial actual execution of the enterprise process and is indicative of a lineage of one or more data items;
generate a provenance graph that provides a visual representation of the generated provenance data, wherein nodes of the graph represent records associated with the collected data and edges of the graph represent relations between the records;
analyze at least a portion of the generated provenance data from the graph to generate an execution pattern corresponding to the at least partial actual execution of the enterprise process;
compare the execution pattern to one or more previously stored patterns; and
determine whether or not to alter the enterprise process based on a result of the comparison.
11. The apparatus of claim 10 , wherein the one or more previously stored patterns comprise one or more recommended execution patterns.
12. The apparatus of claim 11 , wherein the enterprise process is altered when a discrepancy is determined between the execution pattern and the one or more recommended execution patterns.
13. The apparatus of claim 10 , wherein the one or more previously stored patterns comprise one or more non-recommended execution patterns.
14. The apparatus of claim 13 , wherein the enterprise process is altered when a match is determined between the execution pattern and the one or more non-recommended execution patterns.
15. The apparatus of claim 10 , wherein the enterprise process is altered during the execution thereof.
16. The apparatus of claim 10 , wherein the altering of the enterprise process further comprises stopping the enterprise process.
17. The apparatus of claim 10 , wherein the altering of the enterprise process further comprises sending an alert and continuing the enterprise process.
18. The apparatus of claim 10 , wherein the altering of the enterprise process further comprises stopping the enterprise process and starting a new enterprise process.
19. An article of manufacture for influencing a behavior of an enterprise process, the article comprising a computer readable storage medium including program code which when executed by a computer performs the steps of:
generating provenance data, wherein the provenance data is based on collected data associated with at least a partial actual execution of the enterprise process and is indicative of a lineage of one or more data items;
generating a provenance graph that provides a visual representation of the generated provenance data, wherein nodes of the graph represent records associated with the collected data and edges of the graph represent relations between the records;
analyzing at least a portion of the generated provenance data from the graph to generate an execution pattern corresponding to the at least partial actual execution of the enterprise process;
comparing the execution pattern to one or more previously stored patterns; and
determining whether or not to alter the enterprise process based on a result of the comparison.
20. The article of claim 19 , wherein the enterprise process is altered during the execution thereof.