Did you know? We’ve partnered with Ippon Technologies to launch Data Sips, a video miniseries showcasing quick conversations with industry experts that took place during last month’s Data Governance & Information Quality (DGIQ) Conference in Washington, D.C. The first episode features DATAVERSITY founder and CEO Tony Shaw chatting with host Steve MacLauchlan, head of data […]
Data Observability 101
Understanding data health involves monitoring and analyzing diverse aspects of data systems – referred to as data observability – to ensure optimal performance and reliability. Metrics are crucial, providing quantitative insights into data flow, processing times, and system resource utilization. They also help identify patterns and detect anomalies in real time. Logs offer a historical record of […]
Data Management for Medical Device Clinical Trials: A Guide
Clinical trials for medical devices hold a unique significance due to their direct application in patient care and the rigorous scrutiny they undergo from regulatory bodies. Unlike pharmaceutical trials, medical device trials involve complex interactions between hardware, software, and human factors. This complexity is compounded by the high stakes associated with ensuring patient safety, making […]
Overcoming Regulatory and Compliance Challenges with Logical Data Management
Businesses engage in mergers and acquisitions (M&A) to gain new capabilities, remove competitors, reduce operational costs, and join new markets. In the first half of 2024, the global value of M&A activity was $1.0 trillion, 4% higher than it was during the same period last year. M&A requires meticulous attention to regulatory and compliance issues. Navigating these […]
Strategies for Managing Data Debt in Growing Organizations
As organizations scale, data debt can accumulate silently, affecting productivity, efficiency, and decision-making quality. Data debt refers to the accrued cost of shortcuts and inefficiencies in data management that may have once seemed expedient but ultimately hamper long-term growth. Over time, whether it’s due to process changes, platform switching or growth, organizations find themselves boggled down […]
The Connected Revolution: How Integrated Intelligence Is Reshaping Drug Development
Connected intelligence (CI) and end-to-end quality are two concepts that, when combined, have a transformative impact on the future of drug development and clinical trials, marking a significant change in how pharmaceutical companies manage the process of bringing new products to market. By combining different technologies and methods to build a smooth, data-focused environment that improves quality, efficiency, […]
2024 DATAVERSITY Top 20
As we approach the end of another year, we here at DATAVERSITY have been busy analyzing our data and answering the big questions: What was the most popular content on our website and training center over the past 12 months? Which data management topics did you – our readers and students – seek out again […]
Corporate Data Governance: The Cornerstone of Successful Digital Transformation
In today’s evolving digital landscape, organizations are under immense pressure to innovate and adapt swiftly. Digital transformation is no longer a luxury but a necessity for businesses aiming to stay competitive. At the heart of this transformation lies data – a critical asset that, when managed effectively, can drive innovation, enhance customer experiences, and open […]
RWDG Webinar: Structured and Unstructured Data Governance Excellence
Download the slides here>> About the Webinar Is your Data Governance program focusing on both structured and unstructured data? Are you constantly being asked about how the governance of data differs from one type to another? Are you expected to deliver excellence in both the governance of data and information? This webinar will address these […]
Building a Strong Data Retention Framework for Retail Operations
In today’s data-driven world, organizations manage vast amounts of data. As enterprises expand and grow business functions, there’s corresponding linear growth in operational data. This encompasses both master data and transactional data. While master data might change less frequently than transactional data, implementing data governance practices and defining data retention policy is crucial to maintaining […]