Boomi’s low-code integration development environment helps you get the most from your RPA investments and drives critical process automation initiatives.
Holistic Process Management and RPA
Robotic process automation (RPA) takes over manual work traditionally done by humans by using software robots or programs to capture or “scrape” data from an application and push it to another system such as a database or a form.
RPA saves staff time and cost in data entry, forms processing, credit checks, procurement price evaluations, and other use cases. But its value is mostly limited to alleviating menial data chores, often involving systems without API access.
A broader approach that we call holistic process automation aims higher — at orchestrating data, applications, processes, and people to help optimize business functions and fuel large-scale digital transformation. RPA plays a key role in that framework, as do other technologies that can include:
- Data and process discovery
- Data integration and API management
- Low-code applications
- Artificial intelligence and machine learning (AI/ML)
Process automation can help maximize operational efficiency and visibility across an organization. It streamlines workflows, speeds time to market, promotes collaboration, improves customer experiences, and reduces costs. The result is a more agile and competitive organization.
Yet there’s a right way and a wrong way to approach process automation — and relying entirely on RPA is the wrong way.
In this executive brief, you’ll find practical guidance and sample use cases on incorporating RPA and other technologies into a broader holistic process automation framework.