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.
Automating something is always better than having to do it manually, if the automating process is fully functional without any kind of error.
By using an automated process, you also have the benefit of uniformity, since tags will follow strict rules set by you and enforced by the system that processes everything. When done by humans, each person might look at the data in separate ways and tag it differently, or even just spell each tag in an unusual way.
We’ve wrote about metadata before (here it is, in case you missed it). Simply put, metadata summarizes basic information about data, making it easier to find and to use specific instances of data. Every single piece of data contain metadata, and managing it can be a daunting task, that’s why there are tools available to manage it, in turn making your life easier.