According to a new press release, “erwin, the data governance company, today released a new version of erwin Data Modeler (erwin DM), the world’s No. 1 data modeling software for designing, deploying and understanding data sources to meet modern business needs. This is the first in a series of new products the company will announce […]
Data Management vs. Business Intelligence
What is a company to do when Business Intelligence (BI), designed to leverage data as an asset, costs too much time and money due to failures in traditional Data Management processes, such as the prepping and cleaning of data? Should a business analyst, wanting to produce ad-hoc reports, have to be tech-savvy or wait for […]
Data Modeling Trends in 2020: A Year of Optimization
This next year demands quicker data-driven decisions, better automation, more integration, and more data, requiring optimized Data Modeling. Data Modeling refers to documentation describing core business rules and definitions around data. Business and technical shareholders benefit from Data Modeling by seeing complex data concepts in an intuitive, visual way. Throughout 2020, Data Modeling will need […]
Metadata Management Drives the Future of Data Management
Metadata Management makes a huge difference in finding critical data and helps enterprises not get lost within millions (or billions) of records. Metadata provides context about data, describing the information inside a data set, like a candy wrapper detailing the ingredients of the sweet stuff it encloses. This kind of data about data drives a […]
Data Modeling on the Other Side of the Quagmire
Click to learn more about author Thomas Frisendal. At the DATAVERSITY® Graphorum Conference in Chicago in October I attended Dave McComb’s tutorial on “Data-Centric: Models and Architectures”. At the end, he ran a raffle for his 2018 book, Software Wasteland – How the Application-Centric Mindset is Hobbling our Enterprises (TechnicsPub). I was the lucky winner! […]
Knowledge Graphs and Data Modeling
Click to learn more about author Thomas Frisendal. Trip Report From Graphorum / Data Architecture Summit 2019 On October 14th thru 17th Chicago hosted the two co-located conferences Graphorum and Data Architecture Summit 2019 by DATAVERSITY®. It was two days of good tutorials and two good days of conference presentations. One thing to think about […]
Red Hat Brings Predictive Models to Business Automation Portfolio
A recent press release reports, “Red Hat, Inc., the world’s leading provider of open source solutions, today announced the latest release of Red Hat Process Automation, unveiling new applied artificial intelligence (AI) capabilities for predictive decision modeling, and support for the development of process- and decision-based business applications using micro-frontend architectures. Together with additional enhancements […]
“What is…?”: Build Your Own Bundle
DATAVERSITY Online Training – Professional Education at Your Convenience Individual Course Price: $49 Purchase 2-5 Courses: 10% discount Purchase 6-10 Courses: 15% discount Purchase 11+ Courses: 20% discount The “What is…?” series of introductory data courses are designed to be short, informational trainings that give a topic-focused overview for the non-data professional. This option enables […]
What is Multiple Linear Regression Analysis?
Click to learn more about author Kartik Patel. Multiple Linear Regression is a statistical technique that is designed to explore the relationship between two or more variables (X and Y). It is useful in identifying important factors (X) that will impact a dependent variable (Y) and the nature of the relationship between each of the factors […]
Open Data Group Rebrands as ModelOp, Puts AI and ML Models in Business at Scale
According to a new press release, “Open Data Group (ODG) has rebranded as ModelOp, reflecting the company’s sole focus on Model Operations and the rapidly growing need in large enterprises for this critical new capability, which is essential for realizing the value from their investments in AI. According to Gartner, ‘The democratization of ML techniques […]