To embark on data governance in an enterprise that spans divisions and diverse stakeholders, a well-defined operating model plays a vital role in achieving expected business benefits. Data mesh is a new concept that encourages data democratization within an organization in a decentralized way by promoting data products. Unlike the vintage architecture, which is centralized, data mesh […]
Data Stewardship Best Practices
As we continue to do business in a digitally connected world, more data-driven organizations are prioritizing data stewardship and following best practices to improve data quality and management. Data stewards maintain and protect data assets that need special care, not just for cybersecurity but for better business insights and more informed decision-making. In his presentation at a […]
Creating a Data Quality Framework
An organization can define its Data Quality goals and standards, and the steps needed to accomplish those goals, by creating a Data Quality framework. Creating it includes an assessment of the organization’s current Data Quality. A Data Quality framework can be described as an instruction manual for improving the quality of the data. With a […]
Building a Successful Data Quality Program
Creating a successful Data Quality program is essential for any organization seeking to use their data for improving efficiency and better decision-making. Data of poor quality can result in decisions that damage the business. Building a successful Data Quality program helps to ensure the data is of the highest quality, making it both useful and […]
Metadata Management Best Practices
Using metadata management best practices helps to maximize the value of the data stored by an organization. Finding the right data after it has been placed in storage can be difficult if the storage system has no organization. Metadata is used to organize the data so it can be found easily. Metadata is essentially a […]
Leveraging Data Governance to Manage Diversity, Equity, and Inclusion (DEI) Data Risk
This is part 2 of a two-part article. Find part 1 here. In this section, we discuss how to leverage Data Governance to manage DEI data risk. In part 1 of this article, we identified several best practices for data that chief diversity officers can leverage to support data-driven approaches to diversity, equity, and inclusion (DEI). As […]
Data Governance 101
Data Governance (DG), a formalized practice that connects different components – such as roles, processes, communications, metrics, and tools – increases data’s value. By harmonizing these fundamental elements, governance ensures that the right data flows efficiently to the right resources at the right time. In this Data Governance 101 article, we will look at the definition […]
Improving Data Quality: 9 Essential Steps
For the data-driven, high-volume businesses of today, improving Data Quality is essential to ensure trustworthy data and operational efficiency. But the process doesn’t have to be daunting, said Ryan Doupe, VP and chief data officer at American Fidelity Assurance. In a presentation at DATAVERSITY’s Enterprise Data Governance Online event, Doupe laid out a nine-step program for better […]
How to Build a Data Governance Program in 90 Days
For many people in business, the mention of a Data Governance program evokes excessive red tape, bureaucratic drag, and, most of all, outsiders meddling in daily operations. “What is the preconceived notion about Data Governance? We are the police, we tell you no, we tell you to stop, we slow you down,” said Sherry Hidalgo, senior enterprise […]
As Data Privacy Concerns Ramp Up, the Need for Governed Real-Time Data Has Never Been Greater
This year’s Privacy Awareness Week (May 2-8) may be over, but it served as a reminder to look beyond the usual access controls and think about how analytics could be used to support compliance. Data privacy is essential for any business, but it is especially important at a time when consumers are taking notice and new regulations are being deployed. […]