A data lake becomes a data swamp in the absence of comprehensive data quality validation and does not offer a clear link to value creation. Organizations are rapidly adopting the cloud data lake as the data lake of choice, and the need for validating data in real time has become critical. Accurate, consistent, and reliable […]
RWDG Webinar: Data Governance Roles and Responsibilities
To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Roles and responsibilities are a critical component of every Data Governance program. Building a set of roles that are practical and that will not interfere with people’s “day jobs” is an important consideration that will influence how […]
RWDG Slides: Data Governance Roles and Responsibilities
To view the on-demand recording from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Roles and responsibilities are a critical component of every Data Governance program. Building a set of roles that are practical and that will not interfere with people’s “day jobs” is an important consideration that will influence how well […]
Most U.S. Companies Still Not Prepared for GDPR or CCPA Compliance
Even though the European Union’s General Data Protection Regulation (GDPR) went into effect four years ago and a hundred other countries have adopted stringent data privacy laws, the U.S. is lagging behind without a federal data privacy rights regulation. California has taken the lead at the state level, the first to adopt the California Consumer Privacy Act (CCPA) in 2018, with Virginia […]
Governors of Data: A Song About Data Governance
Editor’s Note: Data professional Tiankai Feng writes and performs songs about everything from lockdown to virtual meetings to analytics. We here at DATAVERSITY can’t stop humming “Governors of Data,” his catchy and clever ode to Data Governance – and we think you’ll enjoy it too. I started my role in Data Governance in January and realized quickly […]
Integrating a Data Governance Program in Your Organization
Integrating a Data Governance program into an organization not only means adding some software, but more dramatically, it means changing the workplace culture. Data Governance broadly describes the policies and procedures used to collect, organize, and manage data. It supports improved data analytics, which, in turn, promotes better operations management and better decision-making. Data Governance […]
Data Projects Should Start with Data Governance
The hallmark of any successful Data Governance implementation is awareness. In the context of a large system integration project, we are talking about awareness of: 1) Data Quality expectations and metrics, 2) Enterprise Data Management plan, 3) Data Governance best practices, 4) data risk factors, 5) Data Governance framework, 6) data owners/data consumers, 7) Data Architecture principles, 8) […]
DataEd Webinar: Key Elements of a Successful Data Governance Program
To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar At its core, Data Governance (DG) is all about managing data with guidance. This immediately provokes the question: Would you tolerate any of your assets to be managed without guidance? (In all likelihood, your organization has been […]
DataEd Slides: Key Elements of a Successful Data Governance Program
To view the on-demand recording from this presentation, click HERE>> This webinar is sponsored by: About the Webinar At its core, Data Governance (DG) is all about managing data with guidance. This immediately provokes the question: Would you tolerate any of your assets to be managed without guidance? (In all likelihood, your organization has been managing […]
Data Quality Metrics: How to Measure Success
Data Quality metrics are a measuring system that allows the “quality of data” to be evaluated. Data Quality metrics can be used to determine how useful and relevant data is, and it helps to separate high-quality data from low-quality data. It is much easier—and safer—to make business decisions based on reliable information. Poor information (based […]