You cannot build the house without foundations and the same approach applies to DWH models. Blog post introduces you to the main building blocks of Data Warehouse models and explains their importance as well as functionalities and shows the role of DWH Models in risk reduction and saving money by using the structured and industry model-based approach.
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DWH models provide the basis for quality analysis of available data by deriving accurate information from data, they are business oriented and based on industry standards and implementation of best practices that are proven in real implementation projects at our clients from various industry areas. They are designed to support and adjust to different needs of our clients from regulatory operational and management reporting all the way to complex simulations and are open for all necessary modifications.
There are four Data Warehouse Models, for Telecommunications, Insurance for both life and non-life insurance, Banking and Retail. They deliver competitive advantage by enabling clean data consolidation across multiple systems and by supporting rapid implementation of warehousing solutions with meaningful data.