클라이언트: Camunda Services GmbH
양식: Guide
크기: 144KB
언어: 영어
날짜: 16.09.2024
A Buyer’s Guide to End-to-End Process Orchestration
In the last five years, digital transformation has accelerated faster than anyone could have predicted. Teams have added new technology systems and processes to their mix at an unprecedented rate. In fact, software spending in this time period outpaced the general inflation rate by 4x. Among enterprises with 1000+ employees specifically, SaaS spending increased by 33% in just two years between 2020 and 2022.
Why does that matter in the context of automation? Many organizations have invested in automation point solutions or technologies that play a dedicated role within an automated process. Point solutions help to automate tasks, as all processes are made up of tasks. While point solutions are great for automating individual tasks, they cannot orchestrate and execute a fully end-to-end process. For example, an RPA bot may be used to control a simple task, such as porting over information from scanned documents into a CRM. However, RPA is not effective for managing more complex automated processes.
Other organizations may have invested in orchestration-adjacent technology platforms like RPA, iPaaS, or LCAP that have automation capabilities and are now making bold claims about orchestrating processes. However, these technologies have limited capabilities for advanced use cases, so they may only succeed with a subset of processes, leaving business-critical ones uncovered.
Why does that matter in the context of automation? Many organizations have invested in automation point solutions or technologies that play a dedicated role within an automated process. Point solutions help to automate tasks, as all processes are made up of tasks. While point solutions are great for automating individual tasks, they cannot orchestrate and execute a fully end-to-end process. For example, an RPA bot may be used to control a simple task, such as porting over information from scanned documents into a CRM. However, RPA is not effective for managing more complex automated processes.
Other organizations may have invested in orchestration-adjacent technology platforms like RPA, iPaaS, or LCAP that have automation capabilities and are now making bold claims about orchestrating processes. However, these technologies have limited capabilities for advanced use cases, so they may only succeed with a subset of processes, leaving business-critical ones uncovered.
