Tagged: Datawarehouse

Basics of Datamining

We have been “manually” extracting data in relation to the patterns they form for many years but as the volume of data and the varied sources from which we obtain it grow a more...

Benefits of data warehousing

By using a data warehouse you are in effect providing a common data model for all data that is of interest without having to be concerned about the origin of the source. This ability...

Business use of datamining

When used wisely within Customer Relationship Management applications data mining can significantly improve the bottom line. It will end the process of randomly contacting a prospective or current customer through a call centre or...

Data Integration

Customer data integration can be seen as the practice  of collecting, collating and then managing customer information that may have come from a variety of sources available within your company. Once this data has...

Data warehouses and what the future holds

Data warehouses are designed in such a way that they are optimised for speed of data retrieval. To assist in speeding data retrieval, the data stored in the data warehouse is often stored multiple...

Why Use ETL?

ETL stands for extract, transform and load. These are the processes that enable companies to move required data from a multitude of sources, reformat and cleanse it, and then load it into a data...