The impact of human error rates in manual data entry across multiple systems

In today’s data-driven world, accurate and reliable information is crucial for businesses to make informed decisions. However, the process of manual data entry, especially across multiple systems, introduces a significant risk of human error. Let’s explore the implications of human error rates in manual data entry and provide some insights backed by reliable sources.

Human error in data entry

Error rates in manual data entry

According to a study conducted by the Journal of Accountancy, human error rates in manual data entry can range from 1% to 5%, depending on factors such as the complexity of the data and the experience of the data entry personnel. This highlights the inherent challenges associated with manual data input.

Human error rate can range from 1 - 5 %

Cumulative impact of multiple systems

The complexity multiplies when data has to be entered into multiple systems. A report by the International Journal of Human-Computer Interaction found that the probability of errors increases significantly when individuals are tasked with entering data across different platforms. This underscores the need for efficient data management systems to minimise discrepancies.

Consequences of human error in data entry

Financial implications

Errors in financial data can have severe consequences, leading to financial losses and regulatory non-compliance. A white paper by PwC emphasises the financial risks associated with data inaccuracies and the need for organisations to implement robust data entry procedures.

Operational inefficiencies

Manual data entry errors can result in operational inefficiencies, leading to delays and miscommunications. The Harvard Business Review discusses the impact of data errors on operational processes and the subsequent challenges in maintaining a smooth workflow.

Mitigating human error in manual data entry

Implementing automation

One effective way to reduce human error is by automating data entry processes. Automation not only minimises the risk of mistakes but also enhances efficiency. A report by McKinsey & Company highlights the benefits of automation in improving data quality and reducing errors.

Employee training and oversight

Investing in employee training and establishing oversight mechanisms for employees can contribute to error reduction. The International Journal of Industrial Ergonomics emphasises the importance of proper training in minimising data entry errors.


Human error rates in manual data entry, especially across multiple systems, can have far-reaching consequences for businesses. Understanding the impact of these errors and implementing strategies to mitigate them is crucial for maintaining data accuracy and ensuring informed decision-making.

By adopting a combination of automation, employee training, and creating oversight measures, organisations can significantly reduce the risks associated with manual data entry, thereby safeguarding their financial health and operational efficiency.

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