Automation Demand is on the rise: New Salesforce Study
A new study from Salesforce and Vanson Bourne finds that Automation demand has soared upwards in 90% of companies.
The study revealed that, with increased uncertainty in current market conditions, businesses are turning to Automation to drive immediate value to their critical business processes.
The CRM leader, Salesforce, conducted a global survey of 600 CIOs and IT decision-makers to understand the challenges and the approach of their IT teams while deploying Automation.
Let us explore more about the findings of the study in the subsequent sections.
What the new survey reveals
It has been revealed in the survey that the demand for Automation has surged in the last two years.
In fact, the maximum demand for Automation came from major departments such as Research and Development (39%), followed by Operations( 38%), Customer Service (33%), and Marketing( 26%).
The survey further found that the existing tech stacks are slowing automation progress, and 80% of businesses are worried that restructuring their technology architecture to implement Automation will compound technical debt.
So, it can be concluded that businesses are faced with challenges while modifying or rebuilding Automation as the business requirement changes.
The right way to build Automation for efficient growth
Automation, when done right, delivers efficient growth in a less disruptive and faster way.
As the world enters into a new automation age, HyperAutomation is the right way out for deriving value from their business process automation efforts.
In another revelation from the survey, it is found that in the next two years, 80% of the companies will adopt a hyper-automation strategy to change or rebuild Automation.
Businesses are leveraging the power of Integration and API management capabilities to automate workflows at scale and provide connected customer experiences efficiently.
Summing up, by adopting a unified approach to Automation, Integration, and API, businesses can lay the foundation for a secure, flexible, and resilient model for automating efficiently in the future.
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