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.

  • 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.

  • Address Validation: Best Practices for Interpreting and Analyzing Address Data Quality Results

    Inaccurate addresses can be a costly problem for your organization and not just because they prevent prompt, accurate delivery of mailed communications. Correcting them manually involves significant time and expense while still leaving room for human error. This white paper offers best practices for interpreting and analyzing the results generated by Informatica AddressDoctor, which uses reference data from reputable sources to evaluate the accuracy and deliverability of physical postal addresses.

  • Address Validation: Best Practices for Interpreting and Analyzing Address Data Quality Results

    Inaccurate addresses can be a costly problem for your organization and not just because they prevent prompt, accurate delivery of mailed communications. Correcting them manually involves significant time and expense while still leaving room for human error. This white paper offers best practices for interpreting and analyzing the results generated by Informatica AddressDoctor, which uses reference data from reputable sources to evaluate the accuracy and deliverability of physical postal addresses.