In a world where complex data integration projects inside your company can take years, the promise of robotic process automation (RPA) is certainly compelling to business and IT leaders who have more immediate needs.
RPA is great for:
- ‘Swivel-chair integration’ – rekeying data between legacy and modern systems.
- Reducing error rates on rote tasks that machines can do better than humans.
- Short-term automation of repetitive, pre-defined processes that don’t change.
RPA is not great for:
- Situations where change is likely to occur — to the interface, data or business logic.
- Complex data integrations using multiple systems.
The ability to integrate diverse systems and data, and to create new forms of office automation such as RPA, are vital to adapt to the changing conditions in this dynamic and often unpredictable global marketplace. But RPA isn’t an automation cure-all.
Industry research reveals that RPA alone is not a universal fix for improving all business processes. According to a study by EY, 30 to 50 percent of RPA projects fail. RPA replicates the actions of humans to partly or fully automate human tasks that are manual, rule-based, and repetitive. What it can’t accomplish all of the end-to-end data management and integration needs that exist in any company’s multi-system environment.
Do you know if your company needs RPA or enterprise integration? Or both? Download our whitepaper and decide for yourself.