Resources in Business Process Management (BPM)

A “Next Level Evolution” model for Operational Excellence to integrate with Business Transformation under the broader concept of Enterprise Excellence was discussed in BPMinstitute.org article in May 2017 1. The impact of a standardized Stage-Gate Process for Innovation and New Product introduction was detailed in April 2018. 2

As Part of a Business Transformation and Enterprise Excellence strategy, how can the tools and techniques of Operational Excellence be integrated into Business Strategy?

A foundation package of Operational Excellence tools and techniques that should be fundamental to all Business Strategy and Transformation efforts that are part of an Enterprise Excellence deployment strategy is shown below:

During any kind of research project, you're going to collect data. This data will vary depending on what you're studying, but you will need to create a data management plan no matter what. This is because it's vital you explain exactly how you will use data at every point during the data life cycle. Here's ten rules that will make creating your own plan simple.

Rule 1: Understand the research sponsor requirements

The first thing you must do is find out what is needed from you from your research sponsor. Each sponsor will have slightly different needs. “Even if you've worked with a sponsor before, it's always best to check to ensure they haven't recently changed their requirements”, - says Amber Coburn, an Operation Manager at Bigassignments.

Rule 2: Identify the data to be collected

Documenting a process generally results in at least a 25% gain in productivity – and often even greater gains. Translating work effort into discrete steps reduces confusion, drives consistency of execution, accelerates training, and usually uncovers efficiency opportunities along the way. But it comes with a risk – the risk of improving a segment of an organization to the detriment of other areas. We call this a localized improvement.  

The financial services industry has long been a driver for technology innovation. In the aftermath of the 2008 financial crisis, volatile regulations, increased demands for compliance, and a requirement for transparency necessitate the ability to quickly create and easily manage decisions across systems.  This is a perfect use case for DMN and its incorporation in the evolution of disruptive “FinTech” systems has attempted to address some of these needs.  As the DMN standard is solidified, platforms become more mature, and more people are educated with respect to its power, we can move to examining more places where it can (and will) play a critical role.