7 Trends that Prove that the Future of BPM is Bright
Posted on November 21, 2019 by Team Boombirds
BPM or Business
Process Management is the manner in which an enterprise or firm creates, edits,
as well as analyses the processes that structure the core of its business.
The typical BPM lifecycle
entails Design -> Model -> Execute -> Monitor -> Optimise.
BPM with a
well-formulated configuration aids in delivering the ideal workflow management
solution. BPM has slowly, but surely been breaking fresh ground while setting new
trends every year. With this in mind, Boombirds has been keeping an ear to the
ground and here are seven BPM trends that we think will excite you.
Top BPM Trends
The Rise of AI: With the rapid advancement of technology, AI has found application across spheres. AI and Machine Learning have joined hands before proving to be a formidable partnership while making predictions for improved operational performance. In short, AI makes BPM smarter, quicker, and more efficient. As an increased number of enterprises utilise BPM to build machine learning and AI capabilities and support predictive analytics, there seems to be no stopping this juggernaut.
Automation and Hyper automation: As per the recent Forbes article based on the Gartner vision for 2020, “…the robotic process automation (RPA) revolution is already in full swing. It’s hard to find a company not looking at processes it can automate, and it’s harder to find a company not keenly aware of technological leverage in the RPA mission.” Excellent point. We can’t wait!
/ Low-code Demand: Programming has indeed come a long way what with
drag-and-drop forms and fixed inputs and parameters that iron out long drawn
out processes. With advancements in technology a large number of enterprises
are looking for solutions that require a diminished need to hard code. This has
given rise to a spectrum of solutions that cater to this very specific need,
making them as simple as plug and play.
Virtual Assistants: A number of experts predict that one of the best trends to
come to light is the emergence of the virtual assistant. Briskly executing
tasks on a smart device requires an intelligent interactive interface that is
based on human language. And to this effect, a targeted virtual assistant plays
the role of an intermediary between humans, gadgets, and the BPM engine.
Case Management: In any organisation or enterprise, there are cases where the
precise sequence of tasks cannot be predetermined. It is in instances such as
these that Adaptive Case Management systems are applied for better process
delivery to achieve the desired outcome.
Big Data Analytics: Voluminous data offers
insightful analysis that is predictive as well as prescriptive. In BPM, big
data observes the progress and provides the analysis.
Real-time Support: In the not so
distant future, BPM
initiatives will upsurge aggregation of core capabilities with complementary
platform elements. This will comprise event processing, operational decision
management as well as real-time predictive analytics.
Here’s a roundup
of the top BPM software available in the market.
With the future looking rosy for BPM, vendors will be focusing on
the paradigm shift to AI technologies and its inherent relevance. BPM vendors have also designed excellent ways of modeling
processes such as Process Timeline technology to support parallel steps in
workflows and predictive BPM.