Technology Files and Databases

T.G.I Fridays uses a number of different files in their company. One example of the 5 files is; order file (list of the whole order and everything involved), store file (which store everything is going to), food type file (different types of food getting delivered), employee/manager file (who will be receiving the delivery), and truck file (list of the different trucks available to make the delivery).Our book describes database as a collection of information that you organize and access according to the logical structure of that information. Fridays specifically uses relational database which is a two dimensional table that helps them see relationships and differences between the two sets of information. They also use operational database that helps keep track of inventory and lets management know when inventory is low and they need to order more of something. The brand of databases used is aloha. Top level management and D.O’s are responsible for keeping track of the database. Mangers retrieve these reports by going on to company computers and signing on to aloha and from there they can view a number of different reports ranging from employee file to food order file. TGI Fridays doesn’t directly deal with the customers so they very rarely use OLAP (online analytical processing), however they will use it sometimes when dealing with its franchises. Data ware house is used as well as data marts. AT Fridays data marts are more beneficial to the company because when they are looking a small portion of information they don’t have to go through the whole data warehouse, instead they just go rite to the data mart where the information is broken down into a more specific category. A few data mining tools that Fridays utilizes are intelligent agents (the combination of multiple IT tools), and multidimensional analysis tools ( allows you to view multidimensional information in different prospective). They people responsible for this are strictly high level management to ensure their superiors they completely understand the different data that is being looked at.