Skip to main content

Tag: relationships

Predictive Analytics

Skrevet af Thomas Grubbe Møller d. .

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.

Læs videre

Data Visualisation

Skrevet af Thomas Grubbe Møller d. .

Data VisualizationData 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.

Læs videre

Descriptive analytics

Skrevet af Thomas Grubbe Møller d. .

Descriptive analytics- Descriptive analytics is a type of analytics that focuses on describing what has happened in the past.- It involves summarizing and visualizing data to better understand patterns, trends, and relationships.

Læs videre

Different Types of Analytics

Skrevet af Thomas Grubbe Møller d. .

There are many different types of analytics, including: - Real-time analytics: This type of analytics involves analyzing data as it is being generated, rather than analyzing data that has already been collected - It allows organizations to make informed decisions in real-time, based on the most current data available

Læs videre

Descriptive analytics

Skrevet af Thomas Grubbe Møller d. .

Descriptive analytics is a type of analytics that focuses on describing what has happened in the past. It involves summarizing and visualizing data to better understand patterns, trends, and relationships. Descriptive analytics is typically used to answer questions like: What has happened in the past? Descriptive analytics is an important first step in the data analysis process, as it allows organizations to understand their data and identify areas that may require further investigation.

Læs videre

Diagnostic analytics

Skrevet af Thomas Grubbe Møller d. .

Diagnostic analyticsDiagnostic 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.

Læs videre