Consider the information that is maintained by a bank. In addition to customer records, the bank maintains records on accounts and loans. Figure 1-20 and Figure 1-21 (below) are two examples of database tables for a regional bank. How might this data be aggregated and analyzed to create information and knowledge?
CustomerID |
Name |
Address |
City |
State |
Zip |
100001 |
Don Baker |
1215 E. New York |
Aurora |
IL |
60504 |
100002 |
Yuxiang Jiang |
1230 Douglas Road |
Oswego |
IL |
60543 |
100003 |
Emily Brown |
632 Fox Valley Road |
Aurora |
IL |
60504 |
100004 |
Mario Sanchez |
24 E. Ogden |
Naperville |
IL |
60563 |
Figure 1-20: Customers table
CustomerID |
AccountNumber |
AccountType |
DateOpened |
Balance |
100001 |
4875940 |
Checking |
10/19/1971 |
2500.00 |
100001 |
1660375 |
Savings |
08/10/1973 |
1200.00 |
100002 |
1783032 |
Savings |
05/15/1987 |
500.00 |
100002 |
4793289 |
Checking |
05/15/1987 |
3200.00 |
100003 |
6213690 |
Checking |
02/14/1996 |
6700.00 |
100004 |
1890571 |
Savings |
10/16/2007 |
5300.00 |
100004 |
8390126 |
Checking |
12/02/2008 |
2700.00 |
Figure 1-21: Accounts table
We can join data from these two tables Customers and Accounts and derive and aggregate a lot of information and knowledge.
Some of the information which can be aggregated from these two tables are:
Consider the information that is maintained by a bank. In addition to customer records, the bank...