A well-publicised PwC report projects that by 2030, “smart automation” technologies could contribute up to 14% of global GDP (around 10% to UK GDP). It also believesthat the long-term net effect of automation on the economy will be positive. Thus, despite the above uncomplimentary words from a scientist whose work still drives our modern digital economy,the verdict is in – technologies like Robotic Process Automation (RPA) are here to stay.

1. WHAT IS ANALYTIC PROCESS
AUTOMATION?
Analytic Process Automation (APA) is the technology that allows anyone
in your organization to easily share data, automate tedious and
complex processes, and turn data into results. With Analytic Process
Automation, anyone can unlock predictive and prescriptive insights that
drive quick wins and fast ROI.
A well-published PwC report projects that by 2030, “smart automation”
technologies could contribute up to 14% of global GDP (around 10% to UK
GDP). It also believes that the long-term net effect of automation on the
economy will be positive. Thus, despite the above uncomplimentary words
from a scientist whose work still drives our modern digital economy the
verdict is in – technologies like Robotic Process Automation (RPA) are here
to stay.
Benefits of data analytics automation
The barriers to automation in data analytics have never been lower, and the
advantages of using automation have never been greater:

2.  Automation can increase the speed of analytics. A data scientist can perform
analytics more quickly when an analysis requires little or no human input, and
computers can efficiently complete tasks that are difficult and time-consuming for
humans
 Automated data analytics saves an enterprise time and money. Employee time is
more expensive than computing resources when it comes to data analysis, and
machines can perform analytics efficiently.
 By automating tasks that don’t involve a high degree of human ingenuity or
imagination, data scientists can focus on surfacing new insights to guide data-driven
decision-making.
 Optimise and Scale RPA Deployment
For many organisations, scaling RPA deployments is a huge challenge.And
usually, barriers to scalable RPA deployment and adoptionstem from an
inadequate understanding of its operational viability and potential. These in
turn can be traced to a lack of quantifying metrics that (can) provide a
holistic view into these aspects.
A powerful RPA Analytics solution like Eagle INSIGHT can empower your
organisation and your RPA Centre of Excellence (CoE) to optimise and
mature your existing RPA deployment. With its data-driven insights and
real-time operational performance statistics, you can even drive other
strategic digital transformation initiatives to strengthen your automation-
based capabilities, drive intelligent innovation, and thus improve
operational, financial and customer-facing outcomes.

3. How Automation Is Changing How We
Work
Data and analytical automation has impacted how we
work on a daily basis. Historically, we had to deal with
limited feedback on a business process, and we often
had to wait on this analysis. Today, with automation, the
analysis happens in near-realtime, providing feedback
even while the business process is happening. This
allows course correction to happen, resulting in a better
final outcome