Without effective and comprehensive validation, a data warehouse becomes a data swamp. With the accelerating adoption of Snowflake as the cloud data warehouse of choice, the need for autonomously validating data has become critical. While existing Data Quality solutions provide the ability to validate Snowflake data, these solutions rely on a rule-based approach that is […]
Dear Laura: What Role Should Leadership Play in Data Governance?
Welcome to the Dear Laura blog series! As I’ve been working to challenge the status quo on Data Governance – I get a lot of questions about how it will “really” work. I’ll be sharing these questions and answers via this DATAVERSITY® series. In 2019, I wrote the book “Disrupting Data Governance” because I firmly believe that […]
Building a Data Governance Program: Ten Steps to Success
Building a Data Governance program from the ground up can be a huge undertaking, much like a puzzle, but with no picture as a guide. The Chief Data Officer at American Fidelity Insurance, Ryan Doupe, spoke at DATAVERSITY® Enterprise Data World Conference and presented a practical ten-step plan for starting or improving a Data Governance […]
How Cloud Governance Allows Businesses to Become Compliant Superheroes
In the battle of the old vs. the new, it is evident that traditional identity and access management (IAM) solutions are gradually getting phased out by cloud solutions. Hence, there is a need to shift to cloud-based identity governance and administration (IGA) solutions. This type of cloud governance is more secure and reliable while providing […]
Innovative Systems Demo: Achieving High-Quality Enterprise Data in a Fraction of the Time and Effort
Download slides here>> An organization’s data typically grows at a rate of 40% to 60% per year, with myriad data-oriented initiatives to go with it. Proper data quality is the bedrock of any successful data-oriented business initiative, from data governance and analytics to digital transformations and migrations. It can be a daunting challenge to understand […]
Ataccama Demo: Preparing for Enterprise Data Fabric – Metadata Driven Approach to Data Quality
Download slides here>> With the emergence of Enterprise Data Fabrics and Data Meshes, Data quality is becoming more important than ever before. This opens new unique challenges and opportunities. Ataccama has perfected massively scalable Data Quality implementations for the last decade and developed metadata-driven methodologies to address the challenges emerging from ever-changing and growing data […]
RWDG Slides: Activate Data Governance Using the Data Catalog
Activate Data Governance Using the Data Catalog from DATAVERSITY To view the on-demand recording from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Data Governance programs depend on the activation of data stewards that are held formally accountable for how they manage data. The data catalog is a critical tool to enable […]
RWDG Webinar: Activate Data Governance Using the Data Catalog
To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Data Governance programs depend on the activation of data stewards that are held formally accountable for how they manage data. The data catalog is a critical tool to enable your stewards to contribute and interact with an […]
A Brief History of Data Management
Data Management is the organization of data, the steps used to achieve efficiency, and gather business intelligence from that data. Data Management, as a concept, began in the 1960s, with ADAPSO (the Association of Data Processing Service Organizations) forwarding Data Management advice, with an emphasis on professional training and quality assurance metrics. Data management has […]
Data Quality Dimensions
Data Quality dimensions are useful concepts for improving the quality of data assets. Although Data Quality dimensions have been promoted for many years, descriptions of how to actually use them have often been somewhat vague. Data that is considered to be of high quality is consistent and unambiguous. Poor Data Quality results in inconsistent and […]