Togaware DATA MINING
Desktop Survival Guide
by Graham Williams
Google

Common Data Problems

Data size - too much data, too little relevant.

Data sufficiency - current data warehouses don't contain all necessary customer data.

Data integrity - data in different sources don't always match.

Data accessibility - DBAs control the data access.

Data understandability - data dictionary, metadata.

Data quality - Errors, missing values.

Data reliability - out-of-date data, unreliable data.

Integration of external data sources.



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