Data has famously been referred to as the “new oil,” powering the fifth industrial revolution. As our reliance on data-intensive sectors like finance, healthcare, and the Internet of Things (IoT) grows, the question of trust becomes paramount. Trust is a multifaceted issue when dealing with data and events, and one core component is data verification. […]
data.world Integrates with Snowflake to Provide New Data Quality Metrics
According to a new press release, data.world has announced an integration with Snowflake, a data cloud company, to provide new data quality metrics and measurement capabilities to enterprises. As one of the first data catalogs to support Snowflake’s data quality metrics, data.world’s Snowflake Collector allows enterprise data teams to measure data quality across their organization […]
Master Data Management 101
The management of master data can be described as managing the data that is critical to your business’s operations. Master data management (MDM) deals with managing data that is relatively stable and critical to the business’s operations. The concept of master…
Data Strategy Trends in 2024
In 2024, organizations must embrace a good Data Strategy, a reliable touchstone created by an organization for businesspeople in their data-related endeavors and support its evolution. Executives face mounting pressure to swiftly adapt to a dynamic marketplace and demonstrate tangible impacts…
RWDG Webinar: Data Governance and Data Management Untangled
Download the slides here>> About the Webinar Are you confused about how Data Governance and Data Management complement and … complicate … each other? Don’t miss this opportunity to untangle the intricacies of Data Governance and Data Management and equip yourself with the knowledge and tools to propel your organization toward data-driven excellence. Join us […]
Putting a Number on Bad Data
Do you know the costs of poor data quality? Below, I explore the significance of data observability, how it can mitigate the risks of bad data, and ways to measure its ROI. By understanding the impact of bad data and implementing effective strategies, organizations can maximize the benefits of their data quality initiatives. Data has become […]
Fundamentals of Data Compliance
Data compliance delivers benefits to organizations far beyond simply avoiding potential fines for not fulfilling regulatory requirements for collecting, handling, securing, and safely disposing of sensitive data…
Data Mesh Implementation Best Practices
At its core, data mesh challenges the traditional centralized model of Data Management, where a single team or department is responsible for managing all aspects of data…
Ask a Data Ethicist: Why Does Data Ethics Matter?
Whenever I give a talk, I always share how much I love Q&A. It’s a real joy to hear what people are curious about and provide resources or share insightful lived experiences as a consultant in the data ethics space. In this line of work, it’s usually not about having tidy, easy answers or the […]
Data Quality vs. Data Enrichment
Data Quality (DQ), the degree of business and consumer confidence in data’s usefulness, remains a sticking point to getting business insights and managing risk. According to recent research, it takes an average of 15 hours to resolve a given Data Quality issue or incident, and in 2024 and beyond, 25% or more of revenue will be […]