CHAPTER 8
8.1 Describe the roles and purpose of data warehouses and data marts in
an organization.
A data warehouse
is a repository of an organization’s electronically stored data, designed to
facilitate reporting and analysis. Data warehousing arises in an organization’s
need for reliable, consolidated, unique and integrated reporting and analysis
of its data, at different levels of aggregation. The process of organizing
information in such way as to create data-based knowledge is called Data Warehousing.
The software products that present this knowledge to users are sometimes called
Business Intelligence Tools. Data Mart is a database that has the same
characteristics as a data warehouse but usually smaller and is focused on the
data for one division or one workgroup within an enterprise.
8.2 Compare the multidimensional nature of data warehouses (and data
marts) with the two-dimensional nature of databases
Multi-Dimensional
Analysis is generally used in statistics, econometrics and other related fields
and the results of this kind of analysis used in the different fields can be
further applied to different fields like business enterprise. Multi-dimensional
analysis actually is a process which groups data into two basic categories
which are the data dimension category and the measurement category.
Two dimensional data sets are
also called panel data in other disciplines. Logically, any two or higher
dimensional data sets could actually be considered as multidimensional data but
the term multidimensional data tends to be applied on data sets only with three
or more dimensions.
8.3 Identify the importance of ensuring the cleanliness of information
throughout an organization.
If an organization
is using a data warehouse or data mart, low quality information will definitely
have a negative impact on its ability to make the right decisions. To increase
the quality of organizational information and thus the effectiveness of
decision making, businesses use information cleansing which is a process that
weeds out and fixes or discards inconsistent, incorrect, or incomplete
information.
8.4 Explain the relationship between business intelligence and a data
warehouse.
Data warehouse and
business intelligence are two terms that are a common source of confusion, both
inside and outside of the information technology(IT) industry. Data warehousing
refers to the technology used to actually create a repository data. Business
Intelligence refers to the tools and applications used in the analysis and
interpretation of data. These two elements have grown substantially and are
forecast to experience continued growth into the future.
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