Metadata allows us to expand data by using information to describe other data.
Take a look at the table below, which represents distinguishable data. Even without column heads, you can generally tell what each column represents.
You can go deeper into describing this data.
Expanding the Date
We added three columns to our originally table for Year, Month, and Day. These new fields are based on the dates in the Date Assigned column.
Year, Month, and Day describes the date in more detail. In addition, it allows you to easily breakdown the data and generate summaries with less stress on calculations. For example, if you want to extract the year, you can simply use the Year column.
Example of Using Metadata for Dates
If you want to view a sample report based on this type of metadata example, check out our Trend Analysis Report or TAR. It is a dynamic report, enabling various types of views based on specific periods of time.
Expanding the Name
The Name column is pretty straightforward, with the first and last names combined in one field. That is okay. However, it would be difficult to filter values based on last name. Therefore, it is a good idea to expand the name with first name and last name fields, like below.
Check out your data now. You went from three columns to eight columns. Indeed, you have more columns, with more data. Moreover, you have useful data to work with.
That is what metadata is all about.