From Data to Decisions: How Process Mining and Process Intelligence Drive Optimization
This piece was written for Celonis, an innovative tech company. Their Process Intelligence platform uses industry-leading process mining technology and AI to help businesses run more efficiently.
It was intended as aa blog in the Celonis voice: Clear, confident, and conversational.
Eighty-one percent of business leaders see processes as the driving force behind their organizations, with nearly everyone—99%—agreeing that optimizing these processes is crucial for achieving business goals.
Chances are, your organization is among the 99%, and this article is here to help you understand how Process Intelligence is the key to this optimization.
So, what is Process Intelligence, and how does it differ from process mining? In short, process mining and Process Intelligence work together to boost operational efficiency through data-informed process analysis. Process mining analyzes and visualizes current processes in real-time using event logs, while Process Intelligence enhances these insights with AI and machine learning to optimize future processes.
Even if you’re in the 1% who don’t see the value in process optimization, you may want to read on—a better understanding could unveil untapped opportunities.
What is process mining?
Since launching process mining in 2016, BMW has improved speed and agility across departments by empowering all employees to make data-driven decisions, automate repetitive tasks, and digitalize processes. Let's explore how it works.
From buying, selling, shipping, and collecting, behind-the-scenes processes keep your business running. You might think you know how these processes work, or at least how they should. But with process mining, you can remove the guesswork and get a real-time view of what’s actually happening across your business.
Think of each process as a journey. The first step in process mining is to log every event between Point A and Point B, tracking the digital breadcrumbs left along each path. By using real-time data from various business systems, it creates end-to-end visualizations of processes across the organization. The result is an unbiased, dynamic digital twin of the operations. (Spoiler: The road from A to B is never as direct as your team thinks it is.)
The next step is process analysis to identify areas of improvement and go from insight to action. And this is where Process Intelligence enters the game.
H2: What is Process Intelligence
Process mining lays out the roadmap, while Process Intelligence helps you navigate it, guiding you toward meaningful improvements. It builds on process mining with advanced intelligence to help organizations analyze, improve, and monitor processes, driving hyper-informed decisions for operational efficiency.
How Process Intelligence Works
Remember that digital twin we discussed earlier? Using that as its starting point, Process Intelligence layers in AI, machine learning, and knowledge gathered from thousands of implementations over the last decade to uncover value hidden in the processes.
For example, Hitachi Energy used its digital twin of its supply chain to identify inefficiencies, gain actionable insights, and streamline decision-making with a single source of truth.
Process Intelligence translates data from disconnected systems into a unified language across the business, offering a clear, objective view of process performance and identifying key areas for value. It helps businesses optimize and track their processes comprehensively.
And it doesn’t stop there—Process Intelligence sets the stage for the latest business intelligence trends. For example, predictive analytics forecasts future outcomes using historical and real-time data. Prescriptive analytics goes a step further by recommending the best actions to achieve your business goals.
The ROI of Process Intelligence: Understanding the value for your business
As business environments evolve and processes grow more complex, adopting Process Intelligence helps you stay ahead, maximizing value across your top-line, bottom-line, and green-line. It provides an unprecedented clarity into how your business operates using the data you already have, without the need for a complete overhaul.
Create a common language across systems, processes and people
Uncover hidden opportunities to make data-driven decisions
Get more ROI from existing technology and ready your teams for future adoption
Explore five real-world case studies showcasing how process mining is used to achieve business goals.