Topic "Data Quality"

Value of an Enterprise Intelligent Data Governance Framework

Some challenges The adoption and rollout of Data Governance at an enterprise level is often impeded for several reasons, but commonly it is because the communities of data consumers in the business don’t see the value of engaging with it. Data Governance may be seen as an overhead to the business in terms of time,... more

Data Quality and Governance: An Informatica World 2017 Preview

Here we are. Just a few short days away from Informatica World 2017. If you haven’t registered yet, I encourage you to consider coming out and joining us for the most informative data event that you’ll attend all year. And it’s in the heart of San Francisco! If you have registered, perhaps you’re starting to... more

Data Quality: Self-Service Advancements for a Hybrid World

Last week, my colleagues and I joined together to give you a sneak-peek at the latest updates to Data Quality, PowerCenter, and Data Integration Hub with version 10.2. If you missed the webinar, I’d encourage you to take a moment and watch the replay. We showcased the latest advancements and how they will help you with some... more

Consistent, Curated Data Though Hub-based Data Quality and Enrichment

Data fragmentation and poor quality data are significant challenges for large organizations around the world.  The old computing adage of “garbage in, garbage out” is as true now as it has ever been and inconsistencies between data processing done in separate, parallel point-to-point integrations feeding different systems done on a project basis over time can... more