Why Integrated Data Governance and Data Quality is Critical to Business Success

High-quality data is a fuel that accelerates highly effective decision-making. Under the modern data governance journey, enterprises must revisit their stewardship processes regularly in order to keep data accurate, consistent, and relevant in all decisioning contexts. At the same time, organizations must make sure that data governance practices protect privacy, are free of bias, and enforce stringent controls in response to new legal, regulatory, and competitive imperatives.

Join TDWI’s senior research director James Kobielus along with Precisely’s Michael Sisolak and Susan Pawlak on this webinar to explore the challenges and benefits of implementing robust data governance in today’s cloud-centric business environments. They discuss key steps in the implementation of governance practices that contribute to high-quality decision-making, including:

  • Assessing your enterprise’s data governance maturity and integrity level;
  • Aligning data governance with key business priorities, outcomes, and metrics;
  • Producing improved business outcomes based on trusted data
  • Instituting data literacy training with a strong self-service data governance focus;
  • Implementing data-driven automation, continual monitoring, and self-service augmentation of all data-governance functions
  • Automating the application of predefined data governance policies to ensure compliance with new regulatory mandates
  • Must-have capabilities of an operational data governance solution
  • The integral relationship between data governance and data quality
Why Integrated Data Governance and Data Quality is Critical to Business Success
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