To keep up with the rapid change and to stay competitive in the digital age, telecommunications giant Vodafone realized that it had to transform and streamline its SCM operation to become world-class in terms of efficiency and agility. Vodafone was able to use Celonis Process Mining – a revolutionary big data analytics technology – to uncover hidden inefficiencies, automate and streamline supply chain processes. According to Israel Exposito-Peraza, global process lead for Big Data process mining at Vodafone, the company was able to cut process costs by 11% (reducing the cost per purchase order from $3.22 to $2.85 – a world class number), reduce time to market by 20% and achieve 100% process transparency in less than six months.
Process Mining Helps Organizations Easily Identify Which Business Processes Will Benefit From Automation
How many business processes hinge on tedious, repetitive tasks? What percentage of skilled employees spend valuable hours each day entering and manipulating data? No matter how you slice it, human brainpower is often wasted on menial activities – and it doesn’t need to be.
While most supply chain professionals probably feel like they have a good grip on their business processes, the reality is often much different. Take the purchase-to-pay process for example. It’s entirely possible – and even likely – that the majority of the time this process is not executed as it was designed.
Process Mining uses your data – your unique ‘digital footprint’ – to map your process, and measure each step within that process.
We’ve seen, first hand, how the automation, machine learning and artificial intelligence found in our approach to Process Mining has led to incredible breakthroughs for our customers. Maybe you are ready to improve your processes and reduce operational expenses by 30% too?
In this article, we want to share some insights about how customers are enhancing the way they use process mining for their business by leveraging the Celonis Content Store.
Introducing Celonis Proactive Insights Engine – Pi. Artificial intelligence (AI) and machine learning have already made a significant impact in many areas of big data analytics, and hold even bigger promise for the future. We’re […]