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A short paper by BI strategist Houri Ramo that discusses data quality as a pillar of successful BI strategy. Data quality issues require resources to address, but if you steadily progress with your data cleansing one subject-area at a time, your efforts will be quickly rewarded. Cleansing related data will require less investment, and you will have a stronger platform for your future data integration efforts. This paper contains some of our findings and recommendations for overall data quality improvement.
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