Top Ways to Avoid Data Conversion Errors

Ways to Avoid Data Conversion Errors

Unstructured and disorganized data can be a huge burden for any organization. Data that is not used adequately is useless and large volumes of unstructured data in multiple formats worry businesses, big and small. It is important that companies have their data in a single format so that it is easy to comprehend and can be used to derive valuable insights, identify patterns, and make informed decisions.

Companies convert multiple formats of data into a single format with the help of a third-party data conversion service provider. It is important that a reliable company is hired for this process, as it is tricky to handle multiple forms of data. Irrespective of the enterprise data storage system you house your data in, data conversion can be a complicated process.

6 Important Tips to Avoid Data Conversion Errors

The process of data conversion is a complicated one. It is important to take utmost care while dealing with various formats of data. A lot of errors can creep into the data conversion process if it is not handled by trained and authorized personnel. So how can you avoid gaps in data conversion? Here are some tried and tested ways -

  1. Extract, Clean and Transform Data

    Most of the data available are not accurate. Some of the data may not be organized but can be very useful if it is processed efficiently. The process of data conversion should be considered as an opportunity to extract, cleanse, refine, and transform relevant data into a suitable format, which can be used in the future.

  2. Understand the Data to be Converted

    When a company decides to conduct a data conversion drive, it is important that they understand multiple aspects, such as various data formats, where the data is stored, the format of the existing data, and which is the most suitable format to use their organizational data.

  3. Enforce Data Conversion Policies

    Companies should ensure that the data conversion process does not interfere with any other projects. For instance, the data conversion process can be restricted only to overnight hours, when the network usage is less and the main project processes are not affected.

  4. Convert Small Data Sets in Multiple Batches

    Start off the data conversion process by selecting short sets of data, rather than converting data in large volumes. Segregate the data into multiple sets, such as the primary demographic and the status information, before choosing the complete data set to be converted.

  5. Testing and Validation

    The data converted must be validated and tested to check whether it is accurate and in the right format. It is important to test and validate data after.

  6. Document the Process

    The entire data conversion process must be monitored, audited, and suitably documented. Documentation must be done at each level and it should have a record of who did the data conversion of which data and at what time which is very helpful in creating a proper audit trail.

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Read an article on Why We Love Data Conversion, and You Should Too.

Choose Flatworld Solutions for Flawless Data Conversion Services

Flatworld Solutions has been providing the best quality data conversion services and a host of other data entry services to clients around the world for over decade now. Our data conversion specialists are well-trained to work on different forms of data and convert them to the most suitable format. We provide highly cost-effective data conversion solutions which help you save considerable amount of time and money which would otherwise be invested in hiring an entire in-house data conversion team. We strictly adhere to the confidentiality agreements and whatever data you share with us are completely safe and stored in secure locations.

If you are looking for a reliable data conversion service provider or are looking for ways on how to avoid data conversion errors then look no further. Write to us and embark upon a fruitful partnership with an ideal partner for all your outsourcing requirements.

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