Emily Clarke

What is a Data Glossary?

The organization of data is vital in today's ever-expanding digital world. Data is everywhere, and you can get as granular as you want when analyzing pieces of information. To be genuinely efficient in organizing and analyzing data, you must first qualify what data is and how it is functional. To accomplish this, you can use a data glossary.

Much like a traditional glossary that provides definitions for a preset number of terms used in a volume of information, a glossary for data provides definitions for data used during business. Your company's glossary can include the words used to describe data your company works with frequently, and it may also include context to explain why certain pieces of data are essential to one another. Unlock the full potential of your data with our comprehensive data glossary. Visit this website today to learn more.

What Belongs in Your Glossary?

Any data definition can be included in your glossary. Each business will have its own types of data that are considered critical, so there is no pre-defined list of data to include. When compiling your glossary, think about what data your business works with regularly.

Out of these terms, narrow things down by considering the importance of each data type and whether the name of the data type requires further explanation. Some data definitions are self-evident, while others can benefit from further explanation.

Who Needs Access to Your Glossary?

Although your data teams are the most likely to benefit from such a glossary, any employee who comes into contact with data should be afforded access to your company's glossary. You want everyone to understand the importance of each type of data related to their day-to-day work.

If, for example, your business regularly gathers data points about how long a customer stays on your company's website, you may list this as engagement data. Defining the average in your glossary as "the amount of time we have to make an impression" helps build a sense of urgency in the customer experience when designing new web assets.

Author Resource:-

Emily Clarke writes about the best data catalog tools and data analysis softwares. You can find her thoughts at data dictionary blog.