Across every industry from financial services to healthcare, companies are creating, storing, analyzing, and leveraging data more than ever before to combat fraud, find new cures to deadly diseases, and automate entire industries with data-powered artificial intelligence and machine learning robotics. Modern data integration, data quality, and data engineering technologies have made it easier than... more
Over the past year, we’ve focused our Data Empowerment Experts series on data governance leaders who are empowering their organizations with trusted data. At the end of the day, empowerment is equal parts data and people. Enterprises need to be concerned that their data can deliver value, and that it can be trusted, easily found, understood, and accessed by the people in their organizations who need... more
At Informatica, we firmly believe the world of Data 4.0 is here. In this world, trusted data drives digital transformation. Trusted data creates sustainable competitive advantage. Data also carries significant risks and liabilities if best practices around data privacy and compliance are not enforced. But data can be the most valuable compounding asset when managed... more
For alignment, collaboration is king. It’s the lynchpin to success with data governance. To scale properly, and to ensure that silos are broken (or better yet, never happen to begin with), business and IT professionals need to come together when operationalizing enterprise data governance programs. When the charter of that program is to ensure that data can and... more
Any time that your organization’s value proposition is centered on safety, then trust must be critical to your success: Trust in results. Trust in data. Trust in your ability to deliver on that promise of ensuring that everyone and everything is protected. That’s certainly the case of the Driver and Vehicle Standards Agency (DVSA) in... more
The Data Governance Silo Breaking through silos within organizations is often a primary focus of modern data governance initiatives. This is a sensible objective, as it’s only when we collaborate across disciplines and functions that we can begin to gather a holistic view of our data and business landscapes, and ultimately make better-informed decisions. However,... more
If you ask anyone who has been involved with a Data Governance (DG) initiative, they will tell you that the hardest part is not the technology, but the cultural change required to support it. Technology eases the path, but any tool is only as good as what is put into it and only as current... more
I’m excited to share that, since its launch in January 2013, the GovernYourData.com community has been very well received. With over 4,700 unique visitors and nearing 600 registered members, many data management practitioners recognize it as a valuable go-to resource to support their data governance efforts. While maintaining our core objective of vendor- and product-neutrality,... more
As mentioned in my post describing the major business processes that comprise a data governance function, the Measure and Monitor processes i) capture and measure the effectiveness and value generated from data governance and stewardship efforts, ii) monitors compliance and exceptions to defined policies and rules, and iii) enables transparency and auditability into data assets... more
As mentioned in my post describing the major business processes that comprise a data governance function, the Apply processes aim to operationalize and ensure compliance with all the data governance policies, business rules, stewardship processes, workflows, and cross-functional roles and responsibilities captured through the Discover and Define process stages.