The intersection of data lineage and Data Quality helps provide more accurate and useful information. Data Quality represents the accuracy of data. Internet businesses need good Data Quality to operate efficiently. Unfortunately, there can be obstacles in gathering, storing, and maintaining high-quality data. The use of data lineage can help eliminate those Data Quality obstacles by providing […]
The Importance of Managing Your Metadata
Businesses that realize the value of their data and make the effort to utilize it to its greatest potential are quickly outcompeting those that do not. But like any complex system, the architectures that utilize big data must be carefully managed and supported to produce optimal outcomes. One of the chief obstacles in this continual […]
Focus on Your Most Critical Data Lineage to Manage Risk
Data lineage is extremely important since unknowns in the data flow are a root cause of enterprise risk. Enterprise Risk Management and Data Governance professionals are teaming up to implement the “Three Lines of Defense” model (3LOD). The goal of 3LOD is to provide an early detection and risk mitigation warning system. Line 1 includes Management […]
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. […]
Demystifying Metadata Management for Tech and Business
Metadata is of critical interest in today’s data-driven business environment, and there is a growing awareness of the need for both business and technical users to embrace it, says Donna Burbank, Managing Director of Global Data Strategy and author of “Data Modeling for the Business” and “Data Modeling Made Simple.” Speaking at DATAVERSITY®’s Data Architecture Online, Burbank talked about practical metadata management […]
Expanding Data Governance into the Future
Shortened time frames to leverage business insights and navigate data privacy and ethics call for the next generation of Data Governance (DG). This DG describes a collaborative, thoughtful, long-term framework consisting of processes managing trusted data assets across the organization. Kelle O’Neal, Founder, and CEO of First San Francisco Partners, sees a need to make firms […]
Overcoming the Data Decision Gap in 2022
As organizations enter a new year, leaders across industries are increasingly collecting more data to drive innovative growth strategies. Yet to move forward effectively, these organizations need greater context around their data to make accurate and streamlined decisions. A recent Data in Context research study found that more than 95% of organizations suffer from a data decision […]
Data Governance Tools Support Data Management
Data Governance, and the tools supporting it, reflect the growing importance of “automated services” when dealing with the laws and regulations that have been developed to protect privacy and societal norms. Data Governance has become a necessity for organizations using the internet. It is a collection of rules, policies, and standards designed to improve Data […]
4 Key Takeaways for Your Data Quality Journey
The road to better Data Quality is a path most data-driven organizations are already on. The path becomes bumpy for organizations when stakeholders are constantly dealing with data that is either incomplete or inaccurate. That scenario is far too familiar for most organizations and creates a lack of trust in Data Quality. While most organizations […]
The Evolution of Metadata Platforms vs. Data Platforms
Watching closely the evolution of metadata platforms (later rechristened as Data Governance platforms due to their focus), as somebody who has implemented and built Data Governance solutions on top of these platforms, I see a significant evolution in their architecture as well as the use cases they support. This evolution seems to closely mirror the […]