Data is complex and too often, the accuracy of data lets us down. Those who work with data are aware of the cost of bad data. Avoiding major pitfalls due to bad data often comes down to a choice – on the one hand, deploying in-house expertise to build data quality solutions, or, on the other hand, turning to a qualified vendor for modular off-the-shelf solutions.
Download this whitepaper which will guide you through the relationship between rules-based data quality and active data quality and considerations for when data quality is best addressed in-house, or with off-the-shelf solutions, or a combination of both.
