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.
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.
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.
We’ve wrote before about the advantages of using AI to automate data extraction. In this article, we’ll explore deeply into it.
Document data extraction is the process of extracting meaningful data from semi-structured and/or unstructured documents for later use or storage. When referring to the use of AI or Machine Learning to perform that task, it’s called Automated Document Data Extraction.
Data is one of the most important aspects of any business. Almost every decision taken in a business is empowered by informed data analysis. By using data, precise decisions are made using trends and facts, not speculation, leading an optimized decision process.
Data enrichment is the process of combining data from internal sources with data from external sources. By doing this, the data already owned is enhanced and more informed decisions can be made.