Leaders need to trust data within the organization to make sound business decisions. So, many turn to master data management (MDM), a solution to get and keep uniform and accurate data that increases business value. Yet, according to Gartner, 75% of all MDM programs across organizations fail to meet business objectives. Moreover, this trend has worsened since 2015, […]
AI Governance Best Practices
AI governance is meant to promote the responsible use of artificial intelligence for the betterment of humankind. Artificial intelligence has proven itself quite useful in completing a large variety of tasks quickly and efficiently. Unfortunately, it can also be used to support criminal behavior or to create and distribute misinformation. AI governance is an effort […]
How DSPM Fits into Your Cloud Security Stack
DSPM solutions provide unique security capabilities and are specifically tailored to addressing sensitive data in the cloud, but also to supporting a holistic cloud security stack. As the variety and sophistication of attacks increase over time, new challenges arise that the existing security stack can hardly keep up with. A new, more aligned, and holistic […]
RWDG Webinar: Optimizing Data Governance with Frameworks and Maturity Models
Download the slides here >> About the Webinar Both well-thought-out frameworks and effective maturity models play an important role in providing direction and mileposts for your Data Governance program. These important artifacts can be used to take your Data Governance initiative to new heights. Join Bob Seiner for an insightful webinar where he will delve […]
What Is Data Mesh and Why Is It Important?
A data mesh challenges the traditional centralized Data Architecture by advocating a distributed and domain-oriented architecture. Data mesh promotes the idea of treating “data as a product,” where each domain or business unit becomes responsible for its own data products. By doing so, individual domains gain autonomy over their data needs and can make faster […]
Hybrid Architectures in Data Vault 2.0
Are you drowning in data? Feeling shackled by rigid data warehouses that can’t keep pace with your ever-evolving business needs? You’re not alone. Traditional data storage strategies are crumbling under the weight of diverse data sources, leaving you with limited analytics and frustrated decisions. But what if there was a better way? A way to […]
Ask a Data Ethicist: Can We Trust Unexplainable AI?
In last month’s column, I asked readers to send in their “big questions” when it comes to data and AI. This month’s question more than answered that call! It encompasses the enormous areas of trust in AI tools and explainability. How can we know if an AI tool is delivering an ethical result if we have […]
Data Privacy vs. Data Security
Data privacy refers to a framework of laws, protocols, and controls designed to protect personal data from unauthorized access and use. It encompasses a range of information, including but not limited to names, addresses, financial details, social security numbers, and online activities. Data security refers to the controls, protocols, and industry standards designed to protect digital […]
Creating a Data Quality Framework
An organization can define its Data Quality goals and standards, and the steps needed to accomplish those goals, by creating a Data Quality framework. Creating it includes an assessment of the organization’s current Data Quality. A Data Quality framework can be described as an instruction manual for improving the quality of the data. With a […]
The Cool Kids Corner: CLEAR Communication
Hello! I’m Mark Horseman, and welcome to The Cool Kids Corner. This is my monthly check-in to share with you the people and ideas I encounter as the data evangelist with DATAVERSITY. (Read last month’s column here.) This month, we’re talking about communication. Communication is the cornerstone of socializing anything you do with data, whether that’s […]