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 […]
Data Architecture Trends in 2025
A modern data architecture is required to support the data-driven organization that every enterprise wants to be. Without a solid data architecture – composed of the models, policies, rules, and standards you set for how data is collected, stored, managed, and used – your ability to attain a holistic view of your business, make informed […]
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 […]
Book of the Month: Data Models for Banking, Finance, and Insurance
Welcome to the first “Book of the Month” for 2025. This time, we’ll be going over “Data Models for Banking, Finance, and Insurance” by Claire L. Frankel. This book arms the reader with a set of best practices and data models to help implement solutions in the banking, finance, and insurance industries. Right at the beginning […]
Rethinking Public Sector Data Centers for AI-Driven Digital Transformation
Artificial intelligence has become a cornerstone of public sector modernization, putting a higher importance on data centers, the energy they consume, and how to make them operate more efficiently. Generative AI models require immense computational power to operate. For example, an AI workload like a ChatGPT query can take more than 10 times the energy of […]
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 […]
Making the Complex Simple: Breaking Down Silos
We are no longer living in a security-first world: It’s a data-centric one. With data breaches reaching record levels, regulatory frameworks lagging and companies scrambling to keep up, it’s no wonder enterprises struggle with controlling access to data. Limited controls and inconsistent security measures only add to the challenge, making it harder than ever for organizations […]
Navigating Data Collection Tech Hurdles and Enhancing Patient Care in Clinical Trials
Data collection sits at the foundation of clinical trials, historically gathered from meticulous in-person visits to clinical trial sites. To improve efficiency, clinical trial research has significantly transitioned in recent years. The expansion of technological data collection methods, from wearable sensors to smartphone applications, has facilitated many aspects of clinical trial research, allowing patients to share […]