Industry experts Sandy Kemsley and Keith Swenson of Fujitsu gave an interesting presentation yesterday “Crossing the Next Frontier of BPM: Introducing Process Intelligence”.
“To be successful in today’s increasingly competitive and uncertain business world, best-in-class organizations focus on process improvement to gain sustainable competitive advantage. Combining automated process mining and discovery with process analytics is imperative to accomplish this goal and achieve the break-through business performance.”
Process analytics are important in BPM and even more important in ACM where, in some cases, there are no process fragments to guide the performance of work and no structured forms to capture data.
Carrying out analytics on free-form data is difficult – you can pick up data and squirrel this away in database BLOB records but you pretty much have to index all of the data in order to be able to carry out searches efficiently.
Civerex’s approach to discovery has been to a) route structured/unstructured data to Cases, b) route unstructured data to a KBase where free-form searches can be carried out across different record systems/cases and c) publish all Case data at an official data exchanger where multiple subscribers can gain access to desensitized data on a need-to-know basis.
Some organizations have hundreds of subscribers to their data, each needing a different sub-set of published data, oftentimes in different data transport formats and with the ability for each publisher/subscriber to post/read data using local data element naming conventions. The organization’s data warehouse usually is the principal subscriber to data.
CiverExchange can present data to software discovery/analytics software suites such as Interstage Business Process Manager Analytics V12.
Systems like Interstage BPM Analytics V12 support dynamic process improvement by making it possible for organizations to close the loop on the versioning of mapped\ improved\implemented processes.