indicates that in the data warehouse, you look at your historical activity that has been
passed through your bank account.

Location 3 is the ODS. In the ODS, you find up to the second accurate integrated
information. In the ODS, you look across information such as ALL your account
information—your loans, your savings accounts, your checking account, your IRA, and
so forth.

In location 4, there are the data marts. In the data marts is where bank management
combines your account information with thousands of other accounts and looks at the
information from the perspective of a department. One department looks at the data in
the data marts from an accounting perspective. Another department looks at the data
from the perspective of marketing and so forth.

There is yet another perspective of data afforded by the data found in location 5. In
location 5, big data is found. There is deep history there and a variety of other data. The
kinds of analysis that can be done in location 5 are miscellaneous and diverse.

Of course, the differences in data and the types of analysis that can be done are different
for different industries. The example that has been used is of a bank for the purposes of
making the example clear. But for other industries, there are other types of usage
information.

Different Communities

Different communities use the information found in data architecture. In general, the
clerical community uses information found in locations 1 and 2. Everyone uses the data
found in location 3. The data warehouse serves as a cross roads for information
throughout the organization. Different functional departments use the information found
in location 4. And location 5 serves as an omnibus for the entire organization.

Chapter 8.4: Data Architecture: A High-Level Perspective