

Data Cleansing
In datawarehouse projects, Data Cleansing and Data Quality are essential processes.
Have you thought about using Relavance associative data warehouse tools to clean data efficiently?
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Relavance tools help with the following:
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Importing is just a few clicks away and without data modeling, etc.
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Merging of data is very easy because of the atomic storage and associative modeling.
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Validation of data is very easy to do.
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Data improvement is easy to do. When right-clicking on data it is possible to rename. Every associated data will also be changed all at once, whether one or one million.
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Data deduplication is standard because of the atomic storage of data.
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Standardization and normalization are in the toolset because by default all data is normalized in the Nth normal form.