Data Digitization is the process by which physical or manual records such as text, images, video, and audio are converted into digital format. This is of paramount importance as it reduces physical space requirements and allows a much quicker document search and retrieval system.
With our data digitization services, you can easily organize all your information on computers as per your wish and the same can be searched and browsed at will. Ellmech IT works with virtually any media format into an archive solution that allows for transfer to desired media. With the proper equipment for your original media, we then move to the important tasks of ingesting, cataloging, meta-tagging, and delivering to clients on time. Once your assets are in our infrastructure, access and distribution cease to be a problem. We can bring your analog materials into digital format and create a working digital asset that suits your business. We have quality check and adjustment of digitization parameters, post processing, organization and indexing techniques, long-term preservation of electronic materials. Once digitized, the assets will be protected in any office environment.
We deploy effective data migration procedure for data extraction and data loading. Migration of data is usually performed pro-grammatically to achieve an automated migration. The design relates old data in its formats to the new system’s formats and requirements. Programmatic data migration may involve many phases but it minimally includes data extraction and data loading. Various phases of migration are design, extraction, cleansing, loading & verification. The process is commonly repeated several times before the new system is deployed. We also ensure that the data was accurately translated, is complete, and supports processes in the new system. Next verification may require the need for a parallel run of both systems to identify areas of disparity and forestall erroneous data loss. Generally automated and manual data cleaning is performed to improve data quality, eliminate redundant or obsolete information and match the requirements of the new system.