Database functions are important and useful when you are dealing with large collections of data as you can manipulate the data to

make it present the information you are seeking in a better viewáble format. For example, I need to gather metrics from a database

that stores our customers information, which also stores information that is used by multiple departments; this ends up being a very

big database to wade through. I use a lot of aggregate functions to pull metrics for my team members. I use the COUNT function to

get the breakdown of how many customers to each employee I have. I use the SUM formula to calculate the outstanding balances

from each customer for the group and for each team member. I will do AVERAGE functions to determine where the team is at, as a

whole. When I want some metrics to stand out more than others, I will apply Conditional Formatting so that my eyes are drawn to

certain metrics, like when a team member falls below expectations, then it will highlight that red. This tools are beneficial and

effective when used correctly to make data more practical and useful to individual needs.