Maintaining high quality data is essential for operational efficiency, meaningful analytics and good long-term customer relationships. When dealing with multiple sources of data, data quality becomes complex. Avoiding major pitfalls due to bad data often comes down to a choice—deploying in-house expertise to build data quality solutions or turning to a qualified vendor for modular off-the-shelf solutions.

Download this whitepaper for guidelines and considerations to determine when data quality is best addressed in-house, or with off-the-shelf solutions, or a combination of both.

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This whitepaper is provided by: Melissa