metadata-mq
  • FIMA: Modernizing Data Quality & Governance. Unlocking Performance & Reducing Risk

    This paper will evaluate how financial services companies are managing the challenges posed by data quality management. By analyzing which data types and data characteristics businesses are struggling with, we will uncover the true business costs associated with data quality. We will also gauge how data governance programs are maturing and how they are being measured. Finally, we will asses how data is being managed within financial institutions.

  • Business-Driven Data Governance for Analytics

    Data quality and data governance are critical for successful analytics. Data management expert David Lyle explains how you can create a self-sustaining data governance culture by starting small.

  • Informatica and PostNL Data Powers Innovation

    Mario Suykerbuyk Managing Director at PostNL, Explaining on how PostNL implemented Informatica platform to focus on customers and Product Market and Data Model changes with customer journey.

  • Reimagine Data Governance

    Reimagine data governance to deliver the trusted and secure data that digital transformation programs rely on.