Tag: data analysis

Predictive Analytics

Written by Thomas Grubbe Møller on .

Predictive analytics is a type of data analysis that uses statistical algorithms and machine learning techniques to identify patterns in data and make predictions about future events. It involves analyzing current and historical data to make predictions about future events or outcomes, such as customer behavior, market trends, or risk assessment. Predictive analytics relies on data mining, machine learning, and statistical analysis to make predictions.

Continue reading

Data Visualisation

Written by Thomas Grubbe Møller on .

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.

Continue reading

Prescriptive Analytics

Written by Thomas Grubbe Møller on .

A note on Prescriptive Analytics - Prescriptive analytics is a type of data analysis that uses advanced mathematical and computational techniques to generate recommendations for action. - Prescriptive analytics combines data, statistical algorithms, and machine learning techniques to generate insights and recommendations that can help organizations make better decisions. - By providing organizations with specific recommendations for action, prescriptive analytics can help them optimize their operations, reduce costs, and improve performance

Continue reading

About the concept Tabular Model

Written by Thomas Grubbe Møller on .

A tabular model is a data model that is used to represent data in a tabular format for analysis and reporting. Tabular models are used in a variety of applications, including data warehousing, business intelligence, and data analysis. Overall, tabular models are a powerful tool for representing and analyzing data, and they are widely used by organizations to build data-driven applications and solutions.

Continue reading

Diagnostic analytics

Written by Thomas Grubbe Møller on .

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.

Continue reading

©  BetterBI ApS. All rights reserved.
Powered by YOOtheme.