Sharing process knowledge

Almost all major BPM suites include now process publisher as their essential component. Process publisher normally implements an essential mission of sharing process knowledge in an organization.

Historically, process publishing first appeared as automatic creation of static collections of web pages representing business diagrams in a company and linked together by navigation trees and embedded hyperlinks. Recently, these process libraries began evolving into dynamic process portals. For many cloud BPM suites these portals already serve as a primary front end for online process collaboration and knowledge sharing.

Typical features of process portals include:

· Hierarchical process tree.
· Inventory of business processes.
· Direct navigation through embedded diagram links.
· Interactive view of individual diagrams wit pan and zoom.
· Property panels for all business objects.
· Global navigation and semantic search.

Advanced features for cloud front-ends also cover:

· Commenting and discussion on business objects in diagram context.
· Interactive online design of processes.
· Storage of process documentation linked to diagrams.
· Tracking history of modifications for every process.
· Direct execution of processes from cloud cockpit.
· Real time monitoring of process execution.

Many more advanced features for knowledge sharing can be found in individual products.

Comments

CaseAgile Will Show BPMN Data Exchange between Visio and Leading BPMN Tools

CaseAgile announces a new release of Enterprise Composer™ add-on for Microsoft® Visio, which supports transparent exchange of BPMN diagrams designed in Visio with leading BPMN tools. CaseAgile will demonstrate capabilities of Enterprise Composer™ on upcoming "BPMN IN ACTION" event organized by The Object Management Group (OMG) in Seattle at December 10, 2018. Enterprise Composer™ offers a seamless and efficient way for every Visio® user into the world of professional business process management (BPM) systems and process automation. By using Enterprise Composer™, Microsoft® Visio can create executable processes fully compatible with BPMN™ 2.0 standard from OMG®, which is the global de-facto etalon for modeling business processes and can be used both by businesses and IT. Every BPM practitioner working with Microsoft® Visio now can import BPM models created in most popular BPM suites directly into Visio® and can export models cre...

The role of BPM in the future of AI

BPM will become a key driving force behind further development of AI. Machine learning in business applications is blind without guiding role of BPM, similarly as a company is blind without its management. Despite impressive success, AI is still in its infancy in respect to its literal involvement into high level business processes. Concurrently with the increase of the role of AI in principal business contexts, there will grow demand for BPM in coordination and structuring of AI for business purposes . As in any other business domain, BPM is suitable and responsible for proper AI positioning in business. Without precise BPM governance, AI bears excessive risks for a business as any important but poorly managed and not transparent part of ongoing operations in an organization.

Gap between process model and real process

There always exists a discrepancy between a model of business process, however well designed and accurate, and real execution of this process in a business environment. The reason for this gap is an unforeseen depth and hidden details inherent to any real process. Real business model of organization is ultimately unlimited in its depth. Going from highest management levels, it descends to individual departments, client relations, production units, technical code of equipment and controllers etc. In vast majority of cases, it is impossible and senseless to build a complete model covering all and every fine detail of the business. Omitted lower layers of the model create (pseudo) random fluctuations during execution of the model. Real execution paths of a process never follow its model exactly. However, in case of the correct model, we can expect to see that an ensemble of execution paths statistically converges to the model as to its average path over a significant set of observation...

BPM for All

Search This Blog