Standardization of data elements accomplishes d) all of these.
<h3>What is data standardization?</h3>
The process of converting data to a common format to enable users to process and analyze it is termed as Data standardization.
The sources can include data warehouses, lakes, cloud storage, and databases, from which the data are utilized.
However, data from disparate sources can be problematic if it isn’t uniform, leading to difficulties down the line.
Data standardization is very important for many reasons. Mainly, it helps you establish clear, consistently defined elements and attributes, providing a comprehensive catalog of your data. Whatever insights you’re trying to get or problems you’re attempting to solve, properly understanding your data is a crucial starting point.
Getting there involves converting that data into a uniform format, with logical and consistent definitions. By these definitions, metadata is defined asthe labels that identify the what, how, why, who, when, and where of your data is the basis of your data standardization process.
