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Data migration is a common IT process that consists of moving data from one location to another. While it’s a complex and time-consuming process, it’s often necessary for businesses to migrate their data to new systems or storage locations. With the use of AI, many of the tasks can be automated, such as identifying and classifying data as well as moving it between different systems. This in turn saves time and resources while reducing the risk of human error.
In part 2 of our 3-part article on Document classification we’ll delve into the several types of document classification. If you didn’t read the first part, you can check it out here!
The latest and greatest release of Texport includes connectors to well-known sources, such as: Documentum; SharePoint; FileNet; LiveLink; Amazon S3; Confluence; CMIS; DropBox; Email; Jira; Google Drive; JDBC… and many others.
Your organization, just like many other, probably possesses increasingly big amounts of data. But are you processing it correctly and putting it to good use?
If your organization processes many documents daily, manually classifying them is a time-consuming process, which also creates room for inconsistencies and errors. Are you related with this case? Well, the best solution would no doubt be Automated document classification.
In this 3-part article, we will explore the ins and outs of document classification. We hope this article help explain what document classification is all about. Check It out and stay tuned for part 2…
A data catalog is the foundation for you organization to be a data-first and data-enabled organization. It enables the entire body of data to concentrate all relevant data assets in entries, making all relevant information accessible in one place.
Those entries include definitions, descriptions, information on responsible individuals and much more, simplifying the search process and helping identify the data assets needed for any purpose.