Hyperautomation is, without doubt, one of the most popular trends of our time. The term is rather new: It has been introduced by Gartner as part of its 2020 strategic technology trends update. It refers to the deployment, combination and use of a pool of advanced automation technologies that provide increased intelligence, which increases both the accuracy and the speed of business processes. Hyperautomation adds a layer of data-driven intelligence over conventional IT automation systems such as office automation applications and business information systems like ERP (Enterprise Resource Planning) and CRM (Customer Relationship Management). This intelligence layer automates workflows that span multiple business information systems offering end-to-end automation. Moreover, it enables the extraction of data-driven insights from the data of the various systems. For instance, hyperautomation leverages optimization patterns based on data from multiple databases and business information systems, which significantly extend conventional business intelligence capabilities.
Hyperautomation is about combining multiple automation and intelligence technologies, including:
Organizations seeking to adopt hyperautomation must gain experience on the above-listed technologies and their capabilities. Most importantly, they need to find ways for improving their business results based on a combination of the above-listed technologies.
Nowadays, many organizations are planning to ride the wave of hyperautomation. To this end, they have better create a proper strategy that will enable them to leverage the benefits in a safe and structured way. In shaping this strategy, enterprises should consider the following best practices:
Hyperautomation is one of the trends that will drive business process automation and optimization in the years to come. This trend falls in the broader scope of AI and automation technologies, which are currently adopted by business enterprises in an unprecedented pace. Enterprises must therefore consider the merits of hyperautomation as part of their wider digital transformation strategies. Moreover, they must start creating their own hyperautomation approach. In this direction, the above-listed guidelines could serve as a valuable starting point.
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