Technology behind Assessment Phase Data Mining Data Warehouse OLAP Server Warehouse containing Customer data. Multidimensional Structures to facilitate better and fast analysis of data. Integrates with Data Warehouse & OLAP to implement intelligent algorithms to discover patterns . User analyzes these patterns to take decisions suitable for his business.
Data is specifically structured for querying and reporting
A data warehouse can be a relational, multidimensional
hierarchical database or a flat file.
Contains historical data
No frequent updates
Data stored is subject oriented
TERMINOLOGY Data Mart- Contains data about a specific subject. Metadata- Describes the data stored in data warehouse. Data Cleansing- The process of ensuring that all values in a dataset are consistent and correctly recorded ETL- Extraction, Transformation and Loading of Data.
A Typical Data Warehouse Data Warehouse Detailed Data Data Mart Data Mart Data Mart Summarized Data Meta Data Data about data. Facilitates in firing queries on detailed data. Data marts contain data specific to a subject. customer campaign sales