Credera’s Chief Data Scientist and partner Vincent Yates explains why complexity and scale are often blamed as the reasons for bad data, when the real culprit is the lack of data governance.
The Culprit of Bad Data
In our experience, most organizations blame their data quality issues on complexity and scale. Many have data architecture and processes that began simply, but as they’ve grown and embraced loosely coupled systems, they’ve overwhelmed their legacy systems and gained massive technical debt.
The real culprit for these issues is neither the evolving system, nor complexity. The real culprit is that lack of data governance. Even in the largest systems, good data governance can help keep these data quality issues at bay.
Modern Data Governance
Modern data governance though has changed. While a high touch, human intervention approach to governance historically worked, this approach now proves to be too slow, too expansive, and too expensive for today’s modern data practice. To keep up with the increased data, we can’t rely on human-centered governance anymore.
At Credera, we help our clients employ start-of-the-art machine learning models and intelligence to form a more effective governance toolset that can weed out quality issues before they have a chance to dilute data sets. This new approach to data governance calls organizations to shift the ownership away from people and onto machines—a necessity driven by the new technological world in which organizations operate.
Our next video outlines how this automated governance system practically works.
To learn more about data governance systems that can truly scale with your organization, read out latest whitepaper.
The Credera Brief
At Credera, we believe the toughest business challenges are best solved by a team—a team who works together to share knowledge to accomplish their goals.
We created The Credera Brief series to distill trends and ideas from Credera leaders and experts. These short-form videos share different insights and perspectives across the topic spectrum from MarTech and innovation to strategy and technology.
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