Data conversion is the process of transforming data from one format to another. While the definition of data conversion may be straightforward, the process itself isn’t. Converting data can be a challenging process; it involves extracting data from its original source, transforming the data into the desired format, and finally, loading the data into a new location.
An example of data conversion would be taking data from a pension organization’s legacy system, transforming the data to the appropriate format, then loading it into a new line-of-business solution.
Data cleansing, also known as data scrubbing, is the process of “cleaning up” data. A data cleanse involves the rectification or deletion of outdated, incorrect, redundant, or incomplete data from a database. The goal of data cleansing is to make sure that the information contained within a database is accurate and complete.
An example of data cleansing would be taking data from a pension organization’s legacy system, then running a data-cleansing tool to identify duplicate records to correct the redundancies.
Considering a new line-of-business solution? Take our free pension system assessment and receive a customized report that contains an evaluation of your current pension administrative software along with key recommendations for improvement.
About Sagitec Solutions:
Sagitec Solutions, LLC designs and delivers tailor-made pension, provident fund, and unemployment insurance software solutions to clients of all sizes. With broad industry experience, Sagitec helps their customers achieve strategic business objectives, enhance service offerings, and lower operating costs. Further information can be found by visiting http://www.sagitec.com. For more information on the data conversion services Sagitec offers, contact Rick Deshler at (651) 335-3406 or at rick.deshler@Sagitec.com.