• Reimagine Data Governance: Become a Data Quality Detective! | Informatica

    Businesses deal with the impacts of data quality issues on a constant basis, yet the understanding of what data quality means is still improperly understood. In this webinar we’ll explore some of these impacts and how new approaches to data quality are changing the way organisations utilise data. We’ll also be exploring how new technology solutions are helping organisations investigate and diagnose the causes of various data quality problems and how fixing these issues makes a material impact to the health of the organisation. Data quality has become critical to the success of many business initiatives, so we’ll help you understand what items your detective toolkit needs to contain.

  • How to Tackle Federal Data Strategy with Data Inventory & Cataloging | Informatica

    Policy mandates and initiatives such as the Federal Data Strategy are moving agencies to become better stewards of data. But how can you deliver on mission outcomes with data? Building a Federal Data Strategy can never be a “one and done” initiative. Instead, it’s a process that continually evolves as your Agency’s goals and challenges change.

  • Reimagine Data Governance: Creating Context with Data Discovery and Data Catalog

    It comes as no surprise that the volumes and complexities of data are projected to continue to increase over the next few years. At the same time market disruption and important business initiatives drive the need for trusted, governed data to succeed with data-driven digital transformation.Organizations are rapidly realizing how much of a struggle it is to keep pace with these changes and keep track of their data assets. Not just because of regulations like GDPR, there is a need to know where the sensitive and personal data assets are, and how they move around the organization.Data Discovery is the use of technologies designed to find and keep track of data assets, especially when data volumes and complexities are so significant. Finding data is only the first part of the challenge; making sense of it all and understanding data context is equally important. Without data context, how can data consumers know whether the data they’re looking at is the right data or fit for purpose?In ...