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Data marts are collections of data from a database that can serve to further the purpose of a particular interest or group charged. In the software product development, the data mart helps in meeting specific requirements from a group of users in terms of content, analysis, access and overall presentation. Although the term data mart is similar to data warehousing, there are certain differences. A data warehouse is a strategic concept, while a data mart is a tactical approach that meets an immediate need. Data Marts are must be based on analysis of users, while data warehouses are storing on the basis of need, the existing data. Data Marts have several advantages. These are mainly as follows: Easy access to frequently used data compilation of collective view for a group of users to improve the response time-period from end-users flexible and easy way of creating more expensive than a data warehouse user definitions are clearer than a data warehouse . Each organization can have multiple data marts, each with a focus on specific needs of companies of a certain department or group of users. Also, the data marts apply only if the resources or the common design methods depend on each other. In practice, such as an online software development, each owner group uses its own resources, including data, hardware and software. This allows each group to develop and use their data independently, without participation of the other data marts. The steps are a data mart design as follows: study on the scope of the data mart and needs define the technical and business requirements for data mart development determine the physical and logical design of the Data Mart implementation and applicability to Data Marts check have certain disadvantages. Data marts can not fully assess the performance of LAN-based database management systems, while porting from one environment to another. Also, the data mart to support small groups or simple data sources that are not ideal for distributed application and development of software in large-scale enterprise database management systems.