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 […]
Building a Data Governance Program: Ten Steps to Success
Building a Data Governance program from the ground up can be a huge undertaking, much like a puzzle, but with no picture as a guide. The Chief Data Officer at American Fidelity Insurance, Ryan Doupe, spoke at DATAVERSITY® Enterprise Data World Conference and presented a practical ten-step plan for starting or improving a Data Governance […]
Data Quality, Data Stewardship, Data Governance: Three Keys
Typically, Data Governance programs start with Data Quality, because that is where end users or stakeholders begin to interact with data, especially from the reporting and analytics perspective. “They get a report that doesn’t match another report and they can’t marry it to other data,” said Mary Anne Hopper, Data Management Consultant at SAS Institute. […]
The Value of Metadata Governance
Data, by itself, is just data. But put data in context—that’s when it becomes useful information. Robert Seiner, while speaking at the DATAVERSITY® Enterprise Data Governance Online Conference, said that what provides that context is metadata: “Data plus metadata equals the information that our organizations need to use to be successful.” Seiner is President and […]
How Companies Can Adapt to Global Data Privacy Regulations
Click to learn more about author Joe Gaska. On August 20, 2021, the People’s Republic of China passed its first comprehensive data privacy law, the Personal Information Protection Law (PIPL). The law, set to take effect on November 1, 2021, includes several new obligations for companies handling personal information collected from the country’s citizens. It stipulates […]
Redefining Success with Agile Data Governance
Laura Madsen wants to challenge your outdated ideas about Data Governance. “I’m pretty sure that we wouldn’t use software that we used 20 years ago, but we’re still using Data Governance and Data Governance methodologies the same way we did 20 years ago.” And although she advocates for Agile, she’s not an Agile coach or […]
Defining Principles, Elements, and Roles and Responsibilities in a Data Governance Policy
In previous blog posts, we defined the purpose, scope, and objectives of a Data Governance policy. In this blog post, we will complete the remaining sections needed for an effective Data Governance policy.
Steering Clear of the Data Compliance Scavenger Hunt
Click to learn more about author Balaji Ganesan. As the song goes, “…the more things change, the more they stay the same;” the same holds true for the IT industry. Data warehouses began to appear on the IT scene in the late 1980s as a decision support system used for reporting and data analysis. These […]
Unify Data Governance with Data Architecture
Think of an organization trying to create a single understanding of the information of the organization and the instances of that data around its estate. Consider different groups of people contributing to and using this model from different perspectives and varying reasons. And view this in the context of Data Governance, Data Architecture or Business […]
Smart Data Distancing: A Necessity or Just Another Fancy Word?
Click to learn more about author Sowmya Tejha Kandregula. The ongoing COVID-19 pandemic has made the term “social distancing” a cynosure of our daily conversations. There have been guidelines issued, media campaigns run on prime time, hashtags created, and memes shared to highlight how social distancing can save lives. When you have young children talking […]