5 Reasons Why Automation Beats Human Data Processing

Updated: Jun 26, 2020

Data processing by humans can be hard to manage as there are many opportunities for error. It can be difficult to ensure consistency in manual data processing across a large team of workers, with the transfer of data from a physical to a digital state often being a dull task that doesn’t utilise the skills of the human brain.

Here we look at the human vs the machine for data processing

1. Cost

Employees require training for any kind of data entry, they need to know the process and understand the risks of cutting corners – which being human we are all inclined to do. Training also, of course, costs time and money

2. Mistakes

The beauty of being human is that no two humans are the same, we look differently, we think different, we make mistakes. In data entry mistakes can be made in spelling, grammar, punctuation, and numerically – they can be costly.

3. Misunderstanding

No matter our level of intelligence, there is always room for the human brain to misinterpret information. Which means, human interpretation is not always the best tool to use when processing large amounts of data.

4. Inconsistencies

Being human, it’s in our nature to find and follow what we believe is the best, most efficient path to complete a task. And, in regard to a number of humans processing high volumes of data, is it any wonder that inconsistencies between workers creep in? Where consistency is key to delivering outstanding customer service, or in a regulated environment this can be a significant challenge.

5. Time

No matter how fast their typing speed the human will never beat the machine. Typing vast amounts of information can make us lose focus and mistakes can creep in, which also delays the availability of data.

SmartFlow can help

Process mining is a key part of the automation journey that will help to understand the impact of the above. Identifying the patterns, trends and details of how a process is carried out by different users provides useful information to a business. Taking this approach can help business users to truly understand the processes and tasks being carried out within every area of the organisation, enabling them to understand the extent of the impact of the potential pitfalls discussed above.

The potential to learn and improve using process mining cannot be overstated. By creating a view on the mistakes, misunderstandings and inconsistencies that occur within a process journey, the business can start to understand how and where automation can help. Used effectively as part of the automation journey, process mining is a key enabler to unlock genuine digital transformation opportunities. Companies are no longer automating processes that they don’t fully understand, but are able to understand how those processes fit into the wider organisation, and how they can be adjusted or even re-engineered to better suit the ongoing needs of the business.

SmartFlow includes process mining capability which takes this one step further. As well as monitoring tasks and processes, SmartFlow is able to see how data and information is created and moved through a process. Bringing together the understanding of the process, with the understanding of how and where data moves gives even more power to the business looking to realise digital transformation.

Find out more about how SmartFlow Process Monitor takes Process Mining to the next level. #SmartFlow #IntelligentAutomation #DataProcessing