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. […]
Predictive Analytics Techniques
The process of predictive analytics has three main steps: defining the objectives, collecting relevant data, and developing a predictive model using sophisticated algorithms. These models are further tuned for greater accuracy before being applied to real-world situations like risk analysis or fraud detection. Predictive analytics techniques are at the forefront of modern data science, enabling organizations to […]
Common Data Integrity Issues (and How to Overcome Them)
To say data has “integrity” means that it can be trusted and relied upon and is ultimately useful. Data integrity also conveys a sense of unity and completeness. The greatest challenges to ensuring that data has integrity are any characteristics or events that detract from the data’s usefulness, trustworthiness, and reliability, as well as anything […]
Innovating with Data Mesh and Data Governance
Large organizations want to create a flexible environment to innovate and respond quickly based on new data insights. But at the same time, these businesses want some structure for good Data Quality, data fit for consumption, simplifying and speeding up data access. Using a data mesh, which is a decentralized data architecture (collecting, integrating, and analyzing […]
Understanding Data Governance Maturity: An In-Depth Exploration
In the rapidly evolving landscape of data management, the concept of data governance has gained prominence as organizations strive to manage, protect, and leverage their data effectively. While developing and implementing a data governance program, it is important to consider how to measure the organization’s current state of data management and develop a plan for […]
Women in Data: Meet Liz Henderson, the Data Queen
The latest installment in our Q&A series with women leaders in data features Liz Henderson, aka the Data Queen. (Read our previous Q&A here.) Liz Henderson, also known as the Data Queen, has held many roles over the past two decades: head of data management, data governance director, chief data and analytics officer, business mentor, board […]