Most of us understand how to behave in different social situations and interact with others in ways that are deemed acceptable. Yet, when we bring AI tools into the mix, we create the capacity for friction because the social norms for using these tools are not yet clear. Which raises this question … What is […]
How Data Will Reshape Industries in 2025
Data has become a driving force behind change and innovation in 2025, fundamentally altering how businesses operate. Across sectors, organizations are using advancements in artificial intelligence (AI), machine learning (ML), and data-sharing technologies to improve decision-making, foster collaboration, and uncover new opportunities. In the upcoming year, the focus is on making data more accessible, protecting […]
Data Sips: Interview with Tony Shaw
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 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, […]
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 […]
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 […]
AI Technologies and the Data Governance Framework: Navigating Legal Implications
Artificial intelligence (AI) is revolutionizing how organizations use data, and these big changes are providing capabilities for improved decision-making and predictive insights. However, as AI becomes more integrated into business and daily life, it also introduces legal complexities that require careful oversight. Issues like intellectual property rights, bias, privacy, and liability are central concerns that […]