Desktop Survival Guide
by Graham Williams
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Data reliability - out-of-date data, unreliable data.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.