Business Process Management Blog

Insights, perspectives and experiences from real world BPM

How to Define Process?

By |April 26th, 2017|

Process is a manifestation of time.

Physical world has three spatial dimensions and distinct time dimension, along which it evolves. Digital world has an arbitrary multitude of dimensions, which represent various data contexts. But, whatever data types we consider, time still remains standalone and distinct because it describes unique dynamic dimension of change across all variety […]

Required Features for any Case Management Platform

By |April 21st, 2017|

From BPM viewpoint, case management is primarily distinct as a crossing of multiple scattered and often standalone processes under umbrella of a single grouping factor manifested as a case. Efficient case management requires elaborate integration of processes, both vertically and horizontally, and transparent interaction of multiple execution systems having versatile operational principles, interfaces and metadata […]

Projections of Enterprise Models

By |April 12th, 2017|

By groups I mean any internal or external users of BPM system. Of course, they can be members of organization or just clients or partners. Naturally, every such group requires own projection of an enterprise model for many reasons. Information disclosure, technical background and job functions are among primary motivators for distinction. Normally, it is […]

Most Misunderstood Terms in BPM

By |April 9th, 2017|

In short, all terms in BPM are misunderstood. This misunderstanding objectively appears due to mixing enterprise contexts.

Being in the center of enterprise architecture and processes, BPM objectively appeals to versatile groups and enterprise divisions. Each of these groups has very specific terminology and vision of every model and term, which it routinely uses. It is […]

Apple’s Acquisition of Workflow

By |April 5th, 2017|

Workflow as such looks merely a personal task management solution, rather than an enterprise grade BPM system. As such, the fact of its acquisition by Apple hardly changes much in BPM landscape and may look even not directly related to BPM topic.

However, on a wider scale, it has clear and wide going implications to BPM […]

Decision Management in Healthcare

By |April 1st, 2017|

Decision management in healthcare and its relations to BPM is very interesting topic. There are at least two aspects complicating timely and precise decisions in medical field. First, it is objective complexity of medicine making it immensely difficult to deduce right decisions from available facts. Secondly, dispersed information and insufficient awareness of medical professional about […]

Petri Nets in BPM

By |March 28th, 2017|

Petri nets are a BPM notation. Unlike many other BPM notations, Petri nets have an exact mathematical definition of their execution semantics, with a well-developed mathematical theory for process analysis. For this reason, they are popular in academia. Probably for the same reason, they are rarely used in practical BPM modeling, apart from very specific […]

Aspect of BPM going obsolete

By |March 25th, 2017|

Technology. On most fundamental level, BPM consists of knowledge and technology. Technology is a way to accumulate, store and implement (execute) the knowledge. Technologies are superseding one another and quickly getting obsolete in ever accelerating cycles of technical revolutions, while the knowledge is a fundamental asset, which only grows in value with time.

Basic laws of mathematics […]

Office365 and BPM in Small Business

By |March 21st, 2017|

Visio is among primary process mapping tools, especially in small companies, although it is rarely mentioned even by Microsoft itself. Definitely, extending Office365 in this direction will incredibly simplify adoption of BPM by SMBs.

There is subtle and easy to miss boundary where ad-hoc processes of a successful SMB are requiring streamlined BPM refactoring to allow […]

AI and Process Modeling

By |March 15th, 2017|

Is “AI-enabled automation” making a threat to process modeling? I see situation exactly opposite. AI is a shaky and extremely risky ground, especially, it part of insufficient modeling.

Take, e.g. a neural network: several layers, complex training rules, unknown stability in regard to multiple inputs going outside of a training set. In essence, nobody can know […]