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Data Warehouse Project Title : Datamart and OLAP operations on Company Data Warehouse Data set : Company Schema in Navathe textbook for Database Objective: The main objective of data warehouse project to create a data mart and perform OLAP operations to gain information. Abstract : OLAP operations are used to process the data and gain useful information from it. These information gives insight and detailed view. OLAP operations like roll up helps summarize the data over a dimension (mostly useful if summarization done over time dimension) and drill down operation can be used to present summarized data in more detailed view. For our Data warehouse project we are going to using Company database as a dataset to perform various operations on it such as roll up, drill down, Slicing, Dicing and Scoping. We would be performing various OLAP operations on the dataset and gain information like employees productivity over months with a roll up operation. Data Mining Project Title : Data mining on Consumer Complaints data set Data set : Consumer Complaints Dataset Objective : The main objective of the data mining project is to use data mining tools and analyze the data to discover information related to consumer complaints. Abstract : Data mining is used to gain knowledge and identify hidden patterns in the large datasets. But for such huge amount of data there is always a need of better and powerful tools and techniques. In our data mining project we are using consumer complaints dataset found from the U.S. government website and we will be revealing complaints patterns and company responses for those complaints, with the data mining tools. In that context, our main idea is to use free and open sourced data mining softwares (tools), WEKA and RapidMiner, to identify hidden patterns and compare the results and performances of both tools. There are various classification and clustering algorithms available for doing data mining within those tools. In this project we have selected one classification and one clustering algorithm to perform in both tools and the project also presents the performance evaluation of those algorithms and tools as well.