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.

  • Transformer un Data Lake en un marché de données

    A data marketplace is a new type of information management architecture that extends traditional notions of data lakes to combine a standardized and industrialized process for curating raw data assets into trusted information, with a collaborative and self-service mode of engagement with end users so that data consumers can quickly and easily shop for the data they need.

  • 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.

  • Mitigating Risk in Master Data

    This paper reviews how risk can be mitigated withing master data environments by identifying, analyzing, protecting and monitoring sensitive data.

  • Intelligent Data Governance

    Data governance is critical to develop a data driven culture. Learn how AI/ML can help you automate and scale data governance across the enterprise.

  • 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.

  • The Marketo Manager’s Guide to Verifying Customer Data

    Successful marketers understand that ongoing attention to maintaining trusted contact data is key to ensuring optimal engagement with customers and prospects. That’s why they leverage contact data verification within Marketo. In this eBook, we’ll explain how you can do the same in just a few simple steps.

  • Reimagine Data Governance

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

  • The Contact Data Enrichment Checklist

    It takes accurate contact data to deliver the best customer experiences. It’s why the most effective marketers make sure their contact data is verified and enriched. In this checklist, we’ll show you how to do that in three simple steps.