Texter Blue
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.
Digital content management is crucial for an organization’s success. In essence, it consists of a set of processes that allow businesses to manage all digital content, all using an Enterprise Content Management System (ECM).
Organizing, indexing, and securing internal digital content is an important part of business operations. This can be applied to digital documents, images, videos, raw data, etc.
You’ve probably heard about metadata many times before, but do you know what it is? Metadata summarizes basic information about data, making it easier to find, and to use particular instances of data. Some basic examples of document metadata are, date created, date modified, file size, etc. Other than documents, metadata is used in:
The pressure on businesses to become more efficient and better optimized keep increasing every day. To achieve such goals, many companies keep investing in digital transformation, exploring innovative technologies to get ahead on their competition. One such technology is Intelligent Document Processing (IDP).
Many organizations are switching over to newer and more modern ECM systems. With that, comes the task of migrating content from the “old” platform to the new one.
The migration process can be time-consuming and expensive since many organizations have millions (or trillions) of documents. But with AI, that daunting task is much faster and easier.