Abstract:
The requirement for analysis on the huge amount of data is growing knowledge in the
field of research and industry. Data from a number of sources is collected and brought
into the data warehouse for analysis. The retention period of this data is determined by
the necessity of keeping it in context for future analysis. Data archiving approaches
adopted for a source database cannot be used for data warehouse due to analytical
reasons. Data warehouse data cannot be removed just between cutoff attribute values
identified without doing any analysis. A number of other data warehouse archiving
approaches exist in industry and research, which to some extent are successful. The
main focus of this thesis is to study the business value of the data available in the data
warehouse and use this value for data archiving. Data which delivered more business
value in past times is to stay in the operational data warehouse for a longer period than
that of less or very less business value. Unfortunately till today none of the approach is
proposed to relate data of data warehouse to its business value. However every day
business data is analyzed for making a number of corporate decisions which adds the
business a value to its mission and goal. An approach is proposed in this thesis which
will help to keep information about data queried and its business value. This
information will be used to generate some statistics to discuss with a decision maker in
deciding retention data period. The proposed approach is based on the Business
Decision Model.
