Tag: data visualization

Data Visualisation

Written by Thomas Grubbe Møller on January 10, 2023.

Data Visualization Data visualization is the process of creating graphical representations of data in order to better understand, analyze, and communicate the insights and patterns that are present in the data. It involves using visual elements, such as charts, graphs, and maps, to represent data in a way that is easy to understand and interpret. Overall, data visualization is an important tool for data analysis and communication, and it is widely used in a variety of fields and applications, including business, science, and government.

Artificial Intelligence Text-to-Image

Written by Thomas Grubbe Møller on January 1, 2023.

Text-to-image is a type of artificial intelligence that generates images from written descriptions. It can be used to create images of objects, scenes, and people that don’t exist in the real world or to generate images that are similar to real-world objects and scenes. They can be used in a variety of applications, including computer graphics, data visualization, and creative writing.

Fundamental Tool: Microsoft Analysis Services

Written by Thomas Grubbe Møller on December 29, 2022.

Microsoft Analysis Services is a business intelligence (BI) platform that enables organizations to create and deploy online analytical processing (OLAP) and data mining models for use in BI and analytics applications. It is a component of the Microsoft SQL Server database software, and it is designed to provide fast and efficient access to large volumes of data for analysis and reporting. Analysis Services supports two main types of models: multidimensional models and tabular models.

Diagnostic analytics

Written by Thomas Grubbe Møller on December 22, 2022.

Diagnostic analytics Diagnostic analytics is a type of data analysis that is used to identify the root cause of a problem or issue. It involves analyzing data and using various tools and techniques to identify patterns, trends, and relationships in the data that can help explain why the problem is occurring. There are a variety of tools and techniques that can be used in diagnostic analytics, including data visualization, statistical analysis, and machine learning algorithms.