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There is a recurring myth in the IT industry that Agile projects do not require documentation, that giving stakeholders the opportunity to respond to fully functional software replaces that need altogether. This perception (or, more accurately, this misperception) often stems from a misunderstanding of the following statement in the Agile Manifesto (https://agilemanifesto.org):
” We have come to value…. Working software over comprehensive documentation”
The creators of the Agile Manifesto have clarified this statement numerous times, emphasizing the following qualifying condition at the end:
“That is, while there is value in the items on the right, we value the items on the left more.”
Decision modeling is designed to bridge the gap between business processes and the key decision-making technologies needed to transform traditional processes with digital decisioning, which typically includes both business rules management systems (BRMS) and predictive analytics. Here we’re using the term “predictive analytics” in its broadest sense, including artificial intelligence and machine learning technologies.
Decision modeling delivers the agility and operational efficiency required for a real-time customer experience while assuring the highest levels of consistency, compliance and risk management.
Why Model Decisions?
2019 is going to be a very different year than the past few years. 2017 was a “pedal to the metal” year where almost all were making forward momentum with digital. 2018 started strong, but there was a shift to “steady speed” over acceleration. Many economic experts are now predicting a slight dip in growth which means businesses will be hovering their foot above the brake pedal just in case the turmoil in the markets takes a sharp turn. What does this mean for business investment in Digital? This blog will be my best shot at predicting the likely trends.
In a previous article, Using Business Architecture to Design Future Industries, I made the case that Business Architects have an important role to play in identifying future-oriented business opportunities in emerging business sectors such as the $350B space industry. The example provided was that of a key business process – the space supply chain management process – which is already being defined and modeled by several organizations. While the space industry and its key sector – space transportation – are still in their infancy, industry players with the foresight to map out the long-term business and IT architecture for the space transportation infrastructure will have first-entrant advantage into what is expected to be a highly lucrative field.
Most of us have found ourselves in the situation where we are assigned to oversee a function or department new to us. Without knowing what we’ve inherited, the honeymoon period kicks off – those critical ninety or so days where we have to demonstrate that the hiring manager made the right decision. During this time, we meet with our direct reports, talk with customers, watch how things are getting done, and diligently investigate areas identified by our boss. But true progress is somewhat elusive – we just don’t really know where to dig in. Not knowing where to focus their energy, many new managers hammer down on the administrative side of the job. Unfortunately, they quickly lose the ability to see with fresh eyes the reality of the situation. They get sucked into the void of the status quo.
As Part of a Business Transformation and Enterprise Excellence strategy, how can the methodologies & tools of Operational Excellence be integrated into Business Strategy?
I recently enjoyed an article by Kevin Laczkowski and colleagues at McKinsey titled: Seeing your way to better strategy. It argued for four lenses to help you “see your way” forward – Financial, Market, Competitor and Operating Model. The thought behind these lenses is that, by doing some focused thinking around each lens, you will develop better strategy.
Whether you are into BPM on a full-time basis or a general technologist, it is hard to not be seriously considering RPA or RDA (Robotic Desktop Automation) in the mix of any business solution you are working on lately. For Pegasystems specialist, you may have been introduced to RPA by their fairly recent acquisition of OpenSpan (now Pega Robotics). Pegasystems is rapidly assimilating the RPA into their BPM platform (PRPC 7.4). Although, integration with BPM is a good feature, in the industry RPA is platform agnostic and considered a platform in and of itself.
I have seen some organizations establish entire reporting units dedicated to RPA, even with a well-established BPM practice already in place. In discussions with technology leads, some seem to have a hard time enunciating how RPA fits into the overall architecture, this will be mitigated once there are enough RPA implementations and associated case studies disseminated.
Agile has become an industry buzzword, a marketing term that organizations use to try to show that they are responsive to their clients and adaptive to industry changes. In fact, the perception of being an Agile organization has such strong market value that claiming to be Agile often becomes the objective unto itself. If the goal of your organization is to say that you are Agile, then you may be missing the point.
Trying to be an Agile organization is like trying to be a happy person. You do not achieve Agility (or happiness) by making it your primary objective; you achieve it by making constructive changes and taking positive actions that get you there.
Everyone starts here.
You're looking for a way to improve your process improvement skills, but you're not sure where to start.
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