Inch by inch, step by step, block by block – that’s how you build a business case for Data Management. What those inches, steps, and blocks will look like depends in large part on the organizational maturity of the business with regard to Data Management. In more mature businesses, it’s easier to make the case […]
Defining the Target Audience for the Data Governance Policy
Click to learn more about author Steve Zagoudis. In my last blog, we discussed that one of the most critical aspects of an effective Data Governance implementation is having a comprehensive Data Governance policy. This blog is going to dig deeper into the Data Governance policy by defining the approach to determine the target audience […]
What Is Data Discovery?
Data discovery describes processes in understanding data sets on hand for data integration and/or data analysis. This step occurs in design and should combine technical search from tools with subject matter expertise, from people. During data discovery, a high-level view is taken in assessing data preparation, or data quality needs. Data discovery can be broken […]
erwin Demo: Think Bigger About Data Governance and Achieve Broader Benefits
According to Gartner, Enterprise Data Management is an absolutely critical component in any organization’s data and analytics initiatives. But, as our recent State of Data Governance research showed, lack of automation is a major obstacle for many leading enterprises. In this session, you’ll see the erwin Data Intelligence Suite in action, featuring our Data Catalog […]
Collibra Demo: Trust Your Data and Set It Free with an Enterprise Data Catalog
Download the slides: https://content.dataversity.net/rs/656-WMW-918/images/Collibra-Dataversity-Demo-Day-Sept-2020_vFINAL.pdf Data is the lifeblood of organizations, but business analysts, data scientists and other knowledge workers struggle to discover and access the data they need to make data-driven decisions. But while providing easier access to data is important, it’s also crucial to remember that data is only as valuable as it is […]
Data Governance: Balancing Security and Availability
When Maria Voreh started at the Federal Bureau of Investigation (FBI), her first assignment was working on the Integrated Automated Fingerprint System (IAFS), technology often seen in police movies and television shows such as “CSI.” “They take a print and the machine does this magic work, and sub-seconds later the suspect is found.” Voreh is […]
From Steam to SaaS: Now DMaaS
Click to learn more about author Dean Gonsowski. We’re in the midst of the Fourth Industrial Revolution. This revolution, also referred to as 4IR or Industry 4.0, is changing how we live, work, and relate to each other. According to Bernard Marr, a strategic technology advisor, this revolution “represents the combination of cyber-physical systems, the Internet of Things, […]
RWDG Slides: Data Governance and Three Levels of Metadata Management
RWDG Slides: Data Governance and Three Levels of Metadata Management from DATAVERSITY To view just the On Demand recording of this presentation, click HERE>> About the Webinar There are three levels of metadata that every organization must govern well. These levels are the semantic level, the business level, and the technical level. All three levels […]
RWDG Webinar: Data Governance and Three Levels of Metadata Management
To view just the slides from this presentation, click HERE>> About the Webinar There are three levels of metadata that every organization must govern well. These levels are the semantic level, the business level, and the technical level. All three levels are important components of Data Governance and must be stewarded to focus on the […]
Data Quality’s Importance to Blockchain
What’s the connection between Data Quality and Blockchain? Dan Myers, principal information quality educator at DQMatters and the publisher of The Conformed Dimensions of Data Quality — which seeks to align the Data Management community by using common definitions — addressed the issue during his Enterprise Data World Conference presentation titled “Improved Data Quality Implications […]