How to Avoid Costly Data Entry Errors

Data entry and processing mistakes have a huge impact on organizations. They can affect a business’ integrity and financial gains while creating an air of uncertainty internally. These mistakes are all too common. Whether it’s an error, omission or duplication of information, even the smallest data entry slip-up can have big consequences. The trouble is that organizations have a hard time grasping how to manage the risk associated with data entry and data processing.

Causes of data errors

  • Source data

  • Inaccurate data entry

  • Data conversion flaws

  • Translation errors

  • Data cleansing

  • Human error

Truthfully, when data entry specialists are reviewing data and keying characters all day, it’s easy to transpose numbers or inaccurately input data. Data entry processes must be regularly evaluated and modified to reduce mistakes. Focus shouldn’t be just on the data itself, but the people performing the work, their process and the technology used to achieve the end result.

3 Areas of focus for minimizing data entry errors

1.  Data entry specialists should understand the data, as well as the specific guidelines, requirements and best practices for improving quality. Performing repetitive tasks oftentimes results in inattention. The working environment is important—comfortable work spaces and timely breaks. Focusing on people and providing a productive and efficient work setting goes a long way.

2.  Information and data governance policies and processes are critical to reducing errors and increasing productivity. Data entry specialists may understand the data, but without the right framework and structure mistakes still happen. Best practices training and feasible deadlines create accountability and quality work.

3.  Technology largely impacts the quality of data entry. Depending on the format of the data, conversion software and other data processing tools lessen the likelihood of errors and omissions. Technology is what forms the foundation for scalability which in turn improves the quality of data.

To find out about ILM’s unique process for reducing data entry mistakes and improving data quality, contact us today.

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