Download the slides here>> About the Webinar No matter what approach you follow for Data Governance, executed authority and formalized accountability will be critical factors in the success of your program. Following these strong words will revolutionize how your organization views and leverages authority and accountability in Data Management and Data Governance. In this webinar, […]
AI Data Governance Spotlights Privacy and Quality
The emergence of artificial intelligence (AI) brings data governance into sharp focus because grounding large language models (LLMs) with secure, trusted data is the only way to ensure accurate responses. So, what exactly is AI data governance? Let’s define “AI data governance” as the process of managing the data product lifecycle within AI systems. To keep it […]
Unreliable Data Is Essential for AI Progress, and That’s Not a Bad Thing
In May, OpenAI announced a partnership with Reddit to train its language models using the forum’s extensive collection of user-generated content. OpenAI’s goal of enhancing its models’ ability to respond to real-world conversations and diverse linguistic patterns seemed straightforward. But the decision quickly sparked concerns – namely, the potential inclusion of misinformation and biased content in the […]
It’s Essential – Verifying the Results of Data Transformations (Part 1)
Today’s data pipelines use transformations to convert raw data into meaningful insights. Yet, ensuring the accuracy and reliability of these transformations is no small feat – tools and methods to test the variety of data and transformation can be daunting. Transformations generally involve changing raw data that has been cleansed and validated for use by […]
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 […]
The Role of DSPM in Data Compliance: Going Beyond CSPM for Regulatory Success
Cloud security posture management (CSPM) and data security posture management (DSPM) are two approaches to securing cloud environments, each with its own capabilities and techniques. Many organizations may benefit most from a combination of the two, based on their particular needs. Before deciding on an approach, researching vendors, and investing in a solution, it is […]
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 […]
Navigating the Sea of Data Mapping Solutions
This is the third and final blog post in my “Charting a Course Through the Data Mapping Maze.” If you’ve been following the previous posts, thanks for joining me on this journey. Part one defined data mapping and outlined key components and why it’s essential. Part two explored how data mapping works, the common techniques used, […]
From Chaos to Clarity: How Metadata Shapes the Future of Data Management
Just as the sun serves as the gravitational center, orchestrating the dance of planets in our cosmic neighborhood, data governance stands as the cornerstone in the vast realm of data management. Without a doubt, it’s the gravitational force that holds everything together. Let’s dive deeper into this analogy. Imagine for a moment that our solar […]
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 […]