Data warehouse provides the basis for quality analysis of available data by deriving accurate information from data. In recent years, banking sectors have accumulated large amounts of data from business and now it is time to turn data into money. Such great amount of data provides a big opportunity for analysis. The most common problem in data monetization is their quality, consistency, accuracy, complexity, and the right timing.
Implementation methodology
- Initial 1-2 weeks of workshops to define overall requirements and to establish expectations and timelines
- Model customization and source-to-target mappings are done based on Functional groups.
- For each Functional group customization and mappings may require 4-8 weeks, depending on complexity
- Order of Functional groups is defined with customer by priority
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