Data Modeling Insights | Data Modelling

The collection presents various aspects of data modeling, including techniques for analyzing customer metrics, managing churn risk, and enhancing diversity in workplaces. It features presentations on creating effective data structures, workshops on ServiceNow application data models, and masterclasses emphasizing creativity in data design. Additionally, it covers historical data digitization using machine learning, the principles of Entity Relationship Diagrams (ERD), relational algebra operators, and the fundamentals of database management systems, aimed at improving data management practices across sectors.

Exploring The Myth Of Self-Service BI (and AI)
System Analysis and Design 2 - data modelling
How Data Modelling can be used in Business
Using Technology in Data Modelling in Business
Introduction to Data Base Management System.pptx
Coding in Mathematics. (MAT 122) _3.pdf
Mathematics MAT 122 (Coding in Mathematics 2)
Portfolio in Cartography and Remote Sensing
Vectorising analog seismograms by techniques of machine learning for automated discriminating of seismic signal traces
Presentation of Data modeling in artificial intelligence
App Engine - Data Model Workshop - Vancouver.pptx
 
Diversity & Inclusion.pdf
 
Customer Retention.pdf
 
PhoneNow.pdf
 
Data Vault Modeling.pptx
tableau Data Ananlysis AI.pptx
How Generative AI can combat disinformation?
E_Commerce
E_Commerce Data model
E-Commerce data modelling