Every business runs on different types of processes, and every step of recruitment, onboarding and training of new employees is carried with the help of processes, subprocesses, and tasks that roll these actions into reality. In fact, the processes apply to every area of the business. It defines how the products or services are sold, made, packaged, priced, shipped, delivered, invoiced and inventoried. It includes everything required to run a business, including developing invoices for customers, paying suppliers, maintaining equipment, upgrading software, and everything one may need to run a business.
Since every step that makes up the process is important to deliver the end result, it is important to understand the critical processes to improve the quality, risk, cost, speed, and other business attributes. Moreover, every business transformation involves a first-hand understanding of what needs to be worked upon to understand what to improve, automate, or optimize.
What is Process Intelligence?
Process Intelligence (PI) can be defined as the automatic and continuous collection of data at scale across systems. It gives clear and accurate information about business processes and workflows to improve business process automation, digital transformation, and enterprise optimization. This ensures a deeper understanding of what is working for the business – and what needs to be modified to make that process better, reliable, and accountable.
PI allows organizations to gain insight into their digital processes, provides workflow analytics, and enables them to make data-driven decisions and accurate assessments.
It is a step ahead of process automation as it provides a deeper, real-time, and holistic view of the entire process. It also presents how the performance of each task affects the other within a process. It is considered an evolutionary platform that leverages powerful and advanced capabilities using which business-critical processes can be tracked, analyzed, managed, and improved.
Need for Process Intelligence in businesses
Organizations work on various processes, and the data hence generated is used by PI to perform a detailed analysis which sheds light on the following –
- How effectively processes are executed.
- The inefficiencies caused by bottlenecks in the processes.
- How to eliminate bottlenecks and make continuous improvements.
- The tasks that are disintegrated with the process.
- The processes that are dysfunctional and causing hindrance to overall productivity.
Process Intelligence helps gain a comprehensive understanding of the entire business operations, providing actionable insights and enabling organizations to make informed decisions for improved results.
The following reasons state why PI is important for businesses to follow:
- Process visualization:
Process visualization provides a clear visual model of the entire workflow throughout the process, which helps understand where and what the bottleneck is causing the delays and incompetencies.
- Real-time view:
It gives a perspective of exactly how processes operate and provides real-time visibility and an opportunity to rectify and eliminate inefficiencies, providing a larger area for best practices and improvements.
- Less time and manual effort:
It aids in eradicating manual interventions, resulting in fewer errors, progressively speeding up the processes, and increasing business productivity.
- Cost optimization:
After eliminating of bottlenecks and processes performed effectively, the operational costs automatically come down. This makes it convenient for users to identify and invest in other critical improvement opportunities.
Benefits of Process Intelligence
At times, enterprise transformation efforts fail due to the simple magnitude of the impacted processes. Efforts to bring change on an enterprise-scale with the help of a snapshot of data cannot possibly reflect the realities of the actual process. But Process Intelligence changes this perspective by offering the detailed process data required to check how decisions will impact a particular business.
Process intelligence proves essential in the following ways:
- Scalability – Process Intelligence helps cover all the little details of business processes across the organization so that users can find those improvements that prove most impactful.
- Accuracy – Process Intelligence uses a perfect combination of cross-application data collection and AI modeling to offer better data-driven detail that enables the user to make strategic decisions confidently to have a greater impact on the business.
- Speed – Process Intelligence makes traditional methods 90% faster by eliminating slow and manual steps. It also contributes to increasing time-to-value and returns on digital transformation investments.
- Unbiased – Process Intelligence uses intelligent, automated, and non-intrusive business process capture to eliminate manual capture bias or errors. It enables workers to continue without influence or distractions, adding accuracy to avoid the rework that slows digital transformations.
- Continuous – Process Intelligence removes tiny sample sizes and estimations to continuously capture process variables across multiple shifts, locations, roles, and more, enabling to adapt or tailor processes for specific needs.
Process Intelligence helps collect, integrate, analyze, and present raw data into insightful and actionable business information for improved and optimized decision-making and performance. It is a way to improve business processes using a big-picture view and deep-dive analysis.
Businesses must start approaching firms that offer swift Process Intelligence methods to have a deeper impact and perform all their processes with synchronization.
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