Studies have shown employees may spend as much as 15% to 35% of their time searching for information. 40% often do not find the data they are looking for, leading them to duplicate data. This is where a data taxonomy can help.
Data taxonomy is the classification of data into categories and sub-categories. It provides a unified view of the data in an enterprise and introduces common terminologies across multiple systems. A taxonomy can be seen as a category tree or a standardized template/map/guide for categorizing and classifying enterprise data.
A data taxonomy provides consistency within data, gives visibility, clarity, better reporting, and ultimately will help employees make better business decisions. Furthermore, a good taxonomy makes it easier to search through large volumes of information, reducing the amount of time employees spend looking for the data they need.
To conclude, a data taxonomy increases the likelihood of employees finding the data they are looking for, ultimately saving the enterprise time and money.
Click here to read the original article published by Future of Sourcing.
Please give your feedback on this article or share a similar story for publishing by clicking here.
