Random Variables
Visual Analytics Framework
Data Mining for Identifying Key Stakeholders
Data Mining for Analyzing Customer Satisfaction
Revenue Prediction
Data Trends
Data Mining for Financial Risk Assessment
Data Mining for Customer Segmentation
Effective Decision-Making Tools 
They are particularly useful in making complex decisions that involve multiple
variables ...Simulation Monte Carlo simulation is a statistical technique that allows for the modeling of complex scenarios by using
random sampling and statistical modeling
...
Visual Analytics Framework Inferential Statistics Uses a
random sample of data taken from a population to make inferences about the population
...Regression Analysis Analyzes the relationships between
variables to predict outcomes and trends
...
Data Mining for Identifying Key Stakeholders Common classification methods include: Decision Trees
Random Forests Support Vector Machines (SVM) 3
...Association Rule Learning This technique discovers interesting relationships between
variables in large databases
...
Data Mining for Analyzing Customer Satisfaction Common algorithms include: Decision Trees
Random Forests Support Vector Machines 2
...Regression Analysis Regression analysis helps businesses understand the relationships between different
variables affecting customer satisfaction
...
Revenue Prediction Regression Analysis Estimates relationships between
variables to predict revenue
...Random Forests: An ensemble method that uses multiple decision trees for improved accuracy
...
Data Trends Random Trends Unpredictable variations in data that cannot be attributed to any specific cause
...Regression Analysis - A method for modeling the relationship between a dependent variable and one or more independent
variables, helping to identify trends and make predictions
...
Data Mining for Financial Risk Assessment Common algorithms include: Decision Trees
Random Forests Support Vector Machines Neural Networks 2
...Association Rule Learning This technique identifies relationships between
variables in large datasets
...
Data Mining for Customer Segmentation Popular classification algorithms include: Decision Trees
Random Forests Support Vector Machines (SVM) Association Rule Learning: This technique identifies relationships between
variables in large datasets, often used in market basket analysis
...
Using Algorithms for Predictions Regression A statistical method to model the relationship between a dependent variable and one or more independent
variables ...Risk assessment, market segmentation
Random Forest An ensemble learning method that constructs multiple decision trees and outputs the mode of their predictions
...
Predictive Analytics for Financial Forecasting forecasting: Regression Analysis: A statistical method used to determine the relationship between dependent and independent
variables ...Monte Carlo Simulation: A computational algorithm that uses
random sampling to obtain numerical results, often used to assess risk and uncertainty in financial forecasting
...
Eine Geschäftsidee ohne Eigenkaptial 
Wenn ohne Eigenkapital eine Geschäftsidee gestartet wird, ist die Planung besonders wichtig. Unter Eigenkapital zum Selbstständig machen versteht man die finanziellen Mittel zur Gründung eines Unternehmens. Wie macht man sich selbstständig ohne den Einsatz von Eigenkapital? Der Schritt in die Selbstständigkeit sollte gut überlegt sein ...
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