Data continues to grow at explosive rates, making the issue of data quality increasingly important for business vitality. As companies look at their data governance practices, they must be sure to ask themselves a key question: Is a data-driven culture driving operational processes to continually produce quality data?

As Albert Einstein said, “We cannot solve our problems with the same thinking we used when we created them.” Incorporating data quality techniques that can scale to meet growing data demands requires a different approach: one that is built on a philosophy of end-to-end standardized data controls consisting of business rules-based automation and real time visibility. A commitment to data quality changes the way in which we solve a number of issues surrounding data.

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