INFOGRAPHIC
Businesses are investing in process intelligence to navigate macroeconomic challenges
HFS Research has published a study commissioned by Celonis and IBM Consulting that shows approximately 90 % of surveyed enterprise leaders are suffering from supply chain disruption and more than 75 % cited the volatile market conditions marked by inflation and recession as having a major impact on their businesses . The study also highlights process intelligence as the most effective way to weather these macroeconomic challenges .
The findings show that process intelligence , specifically process mining adoption , is driven by customer service ( 56 % in production or scaled up ), IT ( 53 % in production or scaled up ) and supply chain ( 55 % in production or scaled up ).
Further data from the research demonstrates that businesses believe in the power of process intelligence :
• 88 % of enterprise leaders expect increases in process intelligence investments despite the harsh economic climate .
• More than 95 % of organisation leaders see combining visibility into cross-functional operational performance and monitoring as a game-changer .
• About half of enterprise leaders are still exploring ways to become more predictive with their data .
Process transformation for efficiency , productivity and lowered costs
Process transformation efforts have come to the forefront for many organisations , who are focusing on bottom-line metrics – specifically efficiency and productivity gains , as well as cost reductions . The study findings highlight that process intelligence has become the number one way to address process debt and that ERP alone cannot do it .
• Process intelligence is the number one emerging tech investment expected to impact process transformation today .
ERP modernisation has often been hyped as the prescription for every ailment related to business processes , but roughly only a third of organisations ( 36 %) believe it is essential today . Designing and running business processes that can thrive despite uncertain macroeconomic conditions will require enterprises to address their process debt , which HFS Research sees as a corollary to technical debt . Process debt is the creation of awkward ( and often manual ) processes that are designed to buttress aging technologies and that must be redesigned and modernised to improve business operations .
Infusing intelligence and predictability with digital process twins
Process intelligence has been a good starting point for diagnostics and addressing process problems or process debt . The study shows that process intelligence , implemented atop digital process twins , can deliver multi-functional data and insights . This will help business leaders predictively manage business uncertainties through digital command centres . Digital process twins ( also known simply as ‘ digital twins ’) enable multi-process and multi-
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