In 2025, organizations face a pivotal moment in data management evolution. While core principles endure, their implementation is undergoing a radical transformation. Data management – the comprehensive collection of practices governing data – must now balance unprecedented opportunity with mounting risk. The potential impact is massive. The data and analytics market could reach $17.7 trillion, with an additional $2.6 to […]
Women in Data: Meet UNICEF USA’s Subasini Periyakaruppan
The latest installment in our Q&A series with female leaders in data features Subasini Periyakaruppan, the senior director of data and analytics at UNICEF USA. (Read our previous Q&A here.) Subasini Periyakaruppan has spent the past 15-plus years spearheading innovative data and technology initiatives for data-driven companies. She currently serves as the senior director of data and […]
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 […]
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 […]
Data Modeling Trends in 2025: Simplifying Complex Business Problems
Data modeling, the practice of diagramming business requirements, has grown significantly. According to a 2024 DATAVERSITY® survey on data management trends, 64% of organizations actively use data modeling, a 13% increase since 2023. This trend will only increase in 2025 as companies face heightened opportunities and risks. Newer technologies and AI are set to disrupt predictive analytics, especially with huge volumes of […]
What Is the EU AI Act and Why Does It Matter?
Technology has always advanced faster than the laws we rely on to protect ourselves from technology’s misuse. Fears of a super-intelligent artificial intelligence arising that manipulates machines and humans to do its will sound like science fiction, but the incredible speed of AI advances make them anything but. The more immediate threats that AI poses to individuals and businesses […]
Data Governance Trends in 2025
As organizations enter 2025, it is time to reflect on the significant trends that shaped data governance in 2024 and anticipate what lies ahead. Multiple factors have driven the rapid evolution of data governance frameworks, including advancements in technology, increased regulatory oversight, and shifting business priorities. To continually improve data governance, it is critical to review key […]
The Growing Importance of AI Governance
New technologies often engender fear and foreboding among people outside tech industries. The latest example of this trend is artificial intelligence (AI), which is a topic of much concern and misunderstanding among the public. It’s easy to dismiss these qualms as the common human tendency to mistrust the unknown. However, much of the alarm about AI […]
Data Strategy Trends in 2025: From Silos to Unified Enterprise Value
Data strategy trends for 2025 reflect a growing paradox: While organizations race to adopt generative AI and automation, their disconnected data initiatives are creating new silos rather than breaking them down. DATAVERSITY’s® 2024 Trends in Data Management survey highlights this growing challenge, with 68% of respondents citing data silos as their top concern – up 7% from […]
The Impact of Advanced Data Lineage on Governance
In today’s data-driven business landscape, data quality – the availability of usable and business-ready information – remains a significant and worsening challenge for many organizations. To mitigate these effects, businesses need swift resolution of data issues with transparent and trustworthy information. However, in our fast-paced digital environment, complex data architectures with more system variables make it difficult to understand the problems. […]