In this project we analyze how business intelligence on a website could be obtained from user’s access records instead of web logs of “hits”. User’s access records are captured by implementing a data mining algorithm on the website. User mostly browses those products in which he is interested. This system will capture user’s browsing pattern using data mining algorithm. This system is a web application where user can view various resources on the website. User will register their profile in an exchange of a password. User will get user ID and password in order to access the system. Once the user login’s to the system user will gain access to certain resources on the website.  The links to the resources on the website have been modified such that a record of information about the access would be recorded in the database when clicked. This way, data mining can be performed on a relatively clean set of access records about the users. When user clicks on certain resources on the website his access records will be captured by the system this can be achieved with the help of data mining algorithm used in this system.  By using this application, product based organization will get to know the demand for certain products. This system will help organization to target right consumers. This system will help product based firms to maintain good customer relationship. Hence, a good deal of business intelligence about the users’ behaviors, preferences and about the popularities of the resources (products) on the website can be gained.

Features:-

• Business intelligence on a website can be obtained by capturing the user’s behavior instead of keeping record of number of hits on particular website.
• Here we use data mining algorithm in order to capture user access to certain resource on the website.
• By capturing user’s behavior, organization will get to know preference for certain products displayed on the website.
• Since data mining is performed on clean set of access records about the users this will help to identify popularity of certain products on the website.
• This system will help to manage large amounts of unstructured data which will help to identify or create new strategic business opportunities. 
• Data mining is one of the business Intelligence technologies that provide historical, current and predictive views of business operations.

Feasibility Study

System will capture user behavior on the website with the help of data mining algorithm. This system will help the organization to get know the preference and popularity of certain products on the website.

• Economic Feasibility
  
  This system will help the firm to get know about their consumer’s requirement. This system will help firm to launch products based on the customer requirement which in turn bring profit to the firm if the customer requirement is considered. This system will provide economic benefits to many product based firms. It includes quantification and identification of all the benefits expected

• Operational Feasibility

This system is more reliable, maintainable, affordable and producible. These are the parameters which are considered during design and development of this project. During design and development phase of this project there was appropriate and timely application of engineering and management efforts to meet the previously mentioned parameters.

• Technical Feasibility

The back end of this project is SQL server which stores parameters related to users access records on the website and other details which is related to this project. This system is developed in .Net Framework using C#.

Advantages

• This system will be useful for those users who often purchase products online.
• User will get right product according to his preference.
• This system will be useful to various product based firms who will get to know popularity of certain products on the website.
• This system will help the organization to know demand for certain products.
• This system will help organization to target right consumers.
• This system will help product based firms to maintain good customer relationship.

Disadvantages:

• This system will target only those users who purchase products online.
• Only those users who have computer knowledge can use this system.

Future Scope

• There will be a module where user can book rooms of desired hotel through online.
• There will be another module which will show users, facilities provided by the hotel.

Software Requirements:

• Windows
• Sql
• Visual studio 2010

Hardware Components:

• Processor – Dual Core
• Hard Disk – 50 GB
• Memory – 1GB RAM
• Internet Connection

Application:

• This application can be used by many product based firms which will help them to target right consumers.

References

• http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=1184047&queryText=Mining+online+users%27+access+records+for+web+business+intelligence&newsearch=true&searchField=Search_All