Tool for automatic migration of large volumes of documents and files

We have recently developed a client-based tool, that can run on various operative systems, for migration of large volumes of documents and files into enterprise content management (ECM) and document management systems (DMS). The rules-based application has an output connector architecture allowing it to feed data into various target systems according to selected connector.

The process of the data migration is split into two phases in order to allow full control of the migration process itself.  During the first phase, the configured rules define which input should be processed, e.g. to digest directory structures with files and which desired output and format should be created as a result. All input data matching defined filtering rules will be placed temporarily in a local cache preserving all input attributes. In the second phase, the content of the cache will be written to the target ECM/DMS with attributes and security applied as defined. The application also allows for running both phases without pause in one single session.

In order to verify the quality of migrated data an audit database is storing various attributes collected from the migrated object, which can be inspected at any time, prior to or after migration. These attributes are e.g.; original path of input file or folder, its creation and modification date & time, author and the objects original owner. A checksum is created for each object migrated, making it possible to verify its authenticity after migration.

Setting security on the created documents and folders in the target ECM/DMS is done by using a concept of so called ”Security Contexts”. These are collections of rights of a user or a group of users, which they will be granted when accessing a particular object. The available Security Contexts are configurable and are of course dependent on the capability of the target system itself.

If your company is in need of large data migration, please get in touch with us at enprovia.

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