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As organisations embark on becoming more digitally enabled, the road is paved with many twists and turns.
The good news is organisations have opportunities to unlock value at each step along the way.
With automation in place, organizations can harness more analytical approaches with modelling enhanced by AI and ML.
Delivering value from the start
Automation is typically one of the earliest steps in overhauling enterprise analytics.
Lets take a large manufacturer automating its VAT tax recovery process as an example.
Chief data and analytics officer (CDAO), Alteryx.
With this lens, its evident that automation amounts to much more than time savings.
Two varying approaches
There are two very different approaches that organizations have historically taken to drive automation.
The second approach is to upscale employees to allow every worker to be capable of automating a process.
This latter approach can scale at a very different pace and impact.
Organizations can upskill tens of thousands of employees and automate millions of manual processes.
This would be very difficult with a small team trying to perform the same automation.
It can lead to substantial business benefits, including increased productivity, reduced costs and greater revenue.
Therefore, upskilling efforts need to be directed towards making such a broad data-literate culture possible.
Automation is the first step towards analytics excellence, but its relevance doesnt stop there.
We’ve listed the best online courses and online class sites.
The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc.
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