Facts & Figures
Proofpoints in Enterprise Automation:
where are we today?
Intelligent enterprise automation: what do you need?
We see Enterprise Automation moving more and more from RPA (Robotic Process Automation) to a broader approach, introducing AI and Machine Learning to the ecosystem. Smarter technology and advanced analytics enable for example automated decision making and delivering actionable insights.
When companies are aiming to successfully implement AI and Machine Learning technologies to optimize processes, work and decision making, they need access to their data, including data from legacy applications. Data needs to be secure and privacy regulations for using the information (for example customers, employee and end user data) need to be met. This requires new skills and capabilities in an organization, including strong data governance and data management.
When advanced data technologies are an essential part of the solution or automation platform, it opens up a very important question: where is your data located? Is it trustworthy, is it accessible, reliable? Can you access, connect and integrate your data?
In other words: you can’t and don’t want to automate on bad processes and data.
Trends
As main trends and developments in Enterprise Automation in 2022 (and beyond), we see:
Facts & Figures
> 80%
of organizations consistently report increased or continued investment and hyperautomation initiatives.
65%
of executives will increase the pace of digital business, and 80% expect to increase spending on digital business initiatives.
65%
of the decisions made in a company are more complex than just 2 years ago.
Other Stats
The World Economic Forum’s Future of Jobs 2020 report found that the labor market is changing much faster than expected, mostly because Covid-19.
In the report we read for example that:
From McKinsey & Company, Your questions about automation, answered – July 2022:
66% of companies experience the following positive outcomes from automation:
Organizations that are automation leaders also make large changes to their processes and platforms: