With the growing data volume and competition among businesses, the world of data entry is evolving alongside the rapid expansion of technology. Organizations have also understood how data entry can be leveraged to make better business strategies, decisions, and to develop improved customer experiences.
Data entry processes are being shaped alongside the rapid pace of data that are generated by technological advances such as Machine Learning, Artificial Intelligence, and other cognitive technologies.
Smaller industries might hire data entry professionals to manually input information into computers. But major organizations are using data entry processes to transform their entire business models via automation. Businesses can input specific criteria, ask targeted questions, manage risks, and tailor experiences, all because of the evolution of data entry processes.
Popular companies from Google to Amazon, automate their data entry processes with the aid of Robotic Process Automation (RPA). Tasks that are typically performed by humans are mimicked by software robots, which help enterprise-level organizations to efficiently manage their data entry processes.
At this point, the question that pops up is – How is RPA being utilized by these popular companies, and what can smaller business models gain from this approach to data entry?
Robotic Process Automation and Data Entry
“The Robotic Process Automation market will reach $5.1 billion by 2025.” This staggering figure exists because large companies are utilizing RPA to increase the efficiency of their internal processes, which includes applications for data entry tasks.
RPA lies in the junction between business processes and cognitive capabilities like Machine Learning analytics. It’s the automation of business operations and processes utilizing robotic principles without the need for any manual (for example, human) intervention.
RPA is capable of automating tasks with the following criteria:
- Highly manual
- High volume
- Rule-based
- One or more systems
- Repetitive
- High potential for human error
Tasks like data entry are highly repetitive, subject to inaccuracies due to human errors, time-consuming, and for large companies, impossible to manage without the aid of automation like RPA.
Data entry is a complex process that includes entering information from a variety of sources, such as hard or digital copy documents, audio or visual files, or invoices into a computer system using optical scanners, data recorders, manual keying, or specific data entry software.
It’s further processed and enhanced with corrections of errors, merging redundant information, adding data to incomplete information, and organized in preparation for retrieval, storage, or analysis.
Given the lengthy process of data entry related tasks, large scale companies are turning to RPA to support their data entry objectives through automation.
RPA to Manage Data Entry in Popular Companies
Companies like Google, Amazon, Netflix, Microsoft, and Intel are using RPA to manage rule-based jobs, like data entry. The increase in cognitive capabilities, Machine Learning algorithms, and Big Data, has led to a widespread usage of RPA adoption in large businesses.
A 2016 Deloitte’s report indicates that RPA software automates repetitive processes typically performed by humans working at computers. Software robots interact with applications, just as humans do, and can access “email attachments, complete e-forms, record and re-key data, and many other tasks that mimic human action.”
Popular companies like Google, Netflix, and Amazon, automate these processes because of the large scale of unstructured data that they must manage daily such as bills, declarations, certificates, letters, and other transactions. RPA techniques automate these steps and increase the level of accuracy and speed in which it can be completed.
It simply isn’t feasible, or even imaginable, for enterprise-level organizations to manually input all of their data. Thus, they need the support of automated data entry processes that are backed by robotic capabilities.
Other Popular Companies Utilizing RPA:
- AT&T
- Xerox
- Adobe
- Dell
- GM
- KPMG
- Comcast
- WhirlPool
- Deloitte
According to an Information Services Group study, RPA provides a 43% time reduction for processes like billing, credit, and collections, etc.
It’s not surprising that these familiar companies are automating transactions and tasks with software and robotics to handle data input, data processing, and data output across all of their systems. With the amount of data companies like Google, Amazon, Comcast, and Intel deal with on a minute-to-minute basis, automated data entry is a necessity.
What Can Other Business Models Gain from this Automated Approach?
McKinsey states that all business models can benefit from some form of RPA approach, and says that “the most important consideration is strategy.”
Workflows in business may require manual interaction from personnel, such as copying and pasting data between disparate systems. Automated data entry can alleviate the time, labor, and expense involved in this process.
RPA performs data entry, order processing, job postings, and other data specific actions usually handled by human employees. Smaller businesses like restaurants, retail stores, and cafes, for example, which handle orders, payroll, invoices, etc., daily, say that data entry is the most time-consuming job.
Smaller businesses need to make the most of their internal resources, and relying on manual forms of data entry is simply not the most efficient or accurate method of inputting data.
Data entry service providers like Data Entry Outsourced (DEO) has been in the field of data entry for over a decade, offering organizations all over the world the means to innovate with their data and propel their business objectives into success. With automated data entry software and advanced methodologies, where DEO is positioned to provide RPA-enabled data entry for large organizations, it also offers customized solutions to small-scale organizations at a competitive price.
– DataEntryOutsourced
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