Data Quality Management

Data Quality Management (DQM) is a solution to assess, improve, and maintain the quality of data over time. It is a system that drives productivity in an E&P process. DQM provides an automated process that corrects common data issues and minimizes the risk of having bad data in your environment. It is not a one-time data-cleansing event; the value of DQM lies in the automated ongoing monitoring and management of the data quality.

The unique Schlumberger technology and methodology provide key advantages to your business:

• Automated, repeatable processes to attain and preserve a high degree of data quality
• Increased confidence in data quality, reducing the time spent validating data
• Consistency of data across heterogeneous application environments
• Fit-for-purpose data—the right data is everywhere it is needed
• Quantifiable metrics that show data quality improvements over time

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