Applying Knowledge Management to Analyze Buyer's Trend

The main objective for this project is to develop an intelligent website which can help to
analyze buyer's trend, and extract knowledge from dataset within a database. This
website analysis could actually help us in discovering knowledge and extract the
meaning of the data. It allows us to make proactive and knowledge-driven decision. It
can answer business questions that traditionally were too time consuming to resolve.
This research is on knowledge management in e-comrnerce, it is used to discover
patterns and relationships in the data in order to help make better business decision.
Compared to the manual way, it is impossible to process the whole data in order to
extract the meaning of the data. Since it need a lot of time to do such thing and it can
cause mistakes and errors of data, besides it is impossible to manage them manually.
For this project, an e-comrnerce website will be developed to manage the testing of the
data analysis. From the input from the e-commerce website, the website could be able to
extract the patterns and trends of the customers and suggested any decisions based on
the analyzed result. But from my research, the scope for this area is too wide and I need
to stress it to the least scope. The method that is going to be applied in this project is the
waterfall model.