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.
Here Is Why Your Company Needs Business Process Management and How to Start Implementing It
Here’s the deal. In order to get ahead as a company, you need to constantly be looking for ways to improve your processes. If you don’t and your competition does, they will be able to lower operating costs, undercut your prices, offer better quality and improve its service. And down that way ruin lies.
The question really isn’t ‘do I improve my processes?’ but ‘how do I improve my processes?’ One fantastic way to answer that question is ‘with Business Process Management’ or BPM for short. This is a powerful tool which will make sure you’ll be able to keep all of your business operations running effectively, efficiently and smoothly.
The Four Dimensions of Business Agility
Since the 1990s, the importance of agility in the success of organizations has gradually come into the spotlight. As a result, more and more organizations are striving to increase their agility. This article serves as a foundation for a series of upcoming articles aimed at helping organizations in these efforts. Its purpose is to identify and clarify the nature of the four dimensions of business agility.
Stage Gate Process Tools & Techniques Within Enterprise Excellence
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 20171.
As Part of a Business Transformation and Enterprise Excellence strategy, how can the business be challenged to innovate and improve products?
A Robust New Product Introduction (NPI) Process should be a core competency at all companies.
Let’s take a look at the methodology and set of tools/techniques of a Stage Gate Process.2
5 Steps to Creating a Process-Centric Organization Without Losing Human Touch!
A process-centric organization works on the principle of dividing a task or a project into separate, individually executable stages to get efficient results. These processes go through their development lifecycle including stages of design, development, testing and quality check, etc. However, maintaining a ‘human-touch’ within the organization becomes tedious!
Such organizations tend to be exclusively result-oriented, as they divide projects into stages and the output of each stage should be as per the organization’s standards.
The attributes of a process-centric company are:
The Forces Driving Process and Operating Model Changes
I keep a checklist of the technology trends to think about when redesigning processes or operating models. Things like “automation” or “digitization” or “mobility” or “social media”. I am always trying to improve my checklist, which led me to two recent articles listing trends to think about, one from BCG and one from McKinsey.
The BCG report “Twelve forces that will radically change the future of work” by Vikram Bhalla, Susanne Dyrchs and Rainer Strack has five trends that seem to be about operations (the other seven are about changes in customer desires or the workforce). The five are:
Crowdsourcing Considerations for Business Architects
1. The Real World
Architects (i.e., building architects) have been grappling for a long time with the challenge of making architecture accessible to the general public, both as a form of artistic expression and as a practical discipline rooted in utilitarian considerations. What they have found is that most people equate “architecture” with “buildings” – i.e., the final product – without giving much thought to the creative conceptualization and design work which long-precedes the actual construction. Exceptions to this rule are famous buildings such as the Guggenheim Museum in New York or the Sydney Opera House, where the otherness of the edifice itself suggests that both artistry and engineering must have had a hand in the design and planning of the construction.
The Key Ingredient to the Implementation of Operational Excellence = Training
Implementing operational excellence so that the enterprise benefits is an important issue that needs close examination. An operational excellence strategy model implementation should result in a business management system that encourages process improvement so that the organization’s key performance indicators (KPIs) benefit. In order to accomplish this successfully we must have the appropriate skills available to the organization.
GDPR is a Process Issue
By May 25, 2018 – less than 100 days away – any company doing business with subjects of the European Union must comply with the General Data Protection Regulations (GDPR) stringent rules or face fines up to 4% of revenue. Underpinning the regulations is the principle of “Privacy by design” which means compliance cannot be an add-on, but must be baked into the operational DNA of the organization. It is a process issue as much as a customer data one.
No More AI Winters: Really!!
History teaches us that there were two large AI Winters in the past. One starting in the mid 1970s and another in the late 1980’s There were very clear reasons for the last two AI Winters, but most of the technical and cost issues are gone. The wild card is how humans accept AI this time around. My bet is against another brutal winter. This does not mean there won’t be cold snaps, but a 15-20 year freeze out doesn’t seem likely now.
The First AI Winter:
It was caused by a couple of major factors. The first and foremost was the lack of computer power. The examples that were put forward were “toy” solutions that really did not appeal to the investors at all. This set off a period of infighting about Natural Language Processing (NLP) in the AI community which scared off the investors for a long time.
The Second AI Winter: