Improving Data Quality Through Governance

Poor data quality isn’t just a minor inconvenience—it’s a major business risk that impacts operational efficiency, customer trust, and strategic decision-making.

From inefficiencies in operations to inaccurate decision-making, the financial impact can be staggering. Our slide deck, “Improving Data Quality Through Governance,” takes a closer look at these challenges and offers practical insights for addressing them. It covers the costs of poor-quality data, common issues businesses face, the key dimensions of data quality, and actionable steps to build a unified governance framework. Whether you’re starting to address data quality or looking to refine your existing strategy, this resource is designed to help you understand the problem and take meaningful steps toward better data.

What's Inside the Slide Deck?

  • The hidden cost of bad data
  • Common data quality pitfalls
  • Key dimensions of data quality (e.g., accuracy, completeness, consistency)
  • Steps to build a governance framework that supports long-term data integrity

Listen to the Podcast

In this audio walkthrough, I expand on the slide deck’s content with practical context—based on real consulting experience. Ideal for teams who want to understand where to start and how to prioritize improvements.

Why This Matters

Data governance isn’t just an IT issue. It’s a foundational business capability that affects everything from reporting accuracy to regulatory compliance. If you're responsible for managing or using data, this resource will help you approach quality issues with confidence and structure.

Want to improve your organization’s data quality? Learn more about our data governance consulting services.


Great Expectations. (2023). State of Data Quality. In Great Expectations. https://greatexpectations.io/static/abb8fc238738a68f75b0207b21131298/State_of_Data_Quality_Report-MQ.pdf
Hikmawati, S., Santosa, P. I., & Hidayah, I. (2021). Improving data quality and data governance Using Master Data Management: A review. IJITEE (International Journal of Information Technology and Electrical Engineering), 5(3), 90. https://doi.org/10.22146/ijitee.66307
Khổng, D. T., Khưu, Đ. T. P., Nguyễn, Đ. M., Nguyễn, Q. P. T., & Lâm, V. Q. (2023). The determinants of income diversification of households after land acquisition in Hau Giang province. Science & Technology Development Journal - Economics - Law and Management. https://doi.org/10.32508/stdjelm.v7i2.1224
Lalitesh. (n.d.). The hidden costs of poor data quality and integrity. Polestar Solutions. https://www.polestarllp.com/blog/cost-of-poor-data-quality-and-integrity
Prasad, A. (2024). Impact of poor data quality on business performance: challenges, costs, and solutions. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4843991
Sakpal, M. (2021, July 14). 12 Actions to Improve Your Data Quality. Smarter with Gartner. https://www.gartner.com/smarterwithgartner/how-to-improve-your-data-quality
The hidden cost of bad data. (2023). In Wealth DCI. Wealth DCI. https://www.wealth-dci.com/wp-content/uploads/2023/01/dci-whitepaper-the_hidden_cost_of_bad_data.pdf
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