Credit Risk Assessment
Predictive Insights for Managers
Data Analysis for Financial Decisions
Data Mining Techniques for Operational Insights
Applications
Data Mining Techniques for Anomaly Detection
Data Mining Techniques for Predictions
Using Data for Predictions
Implement Predictive Modeling Techniques 
Customer churn prediction,
credit scoring Decision Trees A flowchart-like structure that uses a tree-like model of decisions and their possible consequences
...Risk assessment, customer segmentation Random Forest An ensemble learning method that constructs multiple decision trees at training time and outputs the mode of their predictions
...
Predictive Insights for Managers 
and targeting Improved campaign effectiveness and ROI Finance
Credit scoring and
risk assessment Reduced default rates and better risk management Operations Demand forecasting
...
Data Analysis for Financial Decisions 
This process is crucial for financial planning, budgeting, forecasting, and
risk management
...Credit Risk
Assessment: Analyzing borrower data to determine creditworthiness and risk levels
...
Data Mining Techniques for Operational Insights 
This technique is particularly useful for: Customer segmentation Fraud detection
Risk assessment Technique Description Applications Decision Trees A model that uses a tree-like graph of decisions and their possible consequences
...Credit scoring, marketing campaigns Random Forest An ensemble method that uses multiple decision trees to improve accuracy
...
Applications 
Churn Prediction: Predictive models can identify customers at
risk of leaving, allowing companies to take proactive measures to retain them
...Applications include: Application Description
Credit Scoring Predictive models assess the creditworthiness of individuals and businesses, aiding in loan approval decisions
...Key applications include: Patient Risk
Assessment: Predictive models can identify patients at risk of developing certain conditions, allowing for early intervention
...
Data Mining Techniques for Anomaly Detection 
Network security,
credit card fraud detection Can handle large datasets, adaptable Requires labeled data, complex models Clustering Techniques Groups data points into clusters and identifies points that do not belong to any cluster
...Risk assessment, credit scoring Easy to interpret, handles both numerical and categorical data Prone to overfitting, may not capture complex patterns 3
...
Data Mining Techniques for Predictions 
Credit scoring, customer segmentation Random Forest An ensemble method that uses multiple decision trees to improve classification accuracy
...Fraud detection,
risk assessment Support Vector Machines (SVM) A supervised learning model that analyzes data for classification and regression analysis
...
Using Data for Predictions 
Sales forecasting,
risk assessment Time Series Analysis Analyzing data points collected or recorded at specific time intervals
...Credit scoring, marketing strategies 3
...
The Role of Predictive Analytics in Business 
Inventory optimization Supplier
risk assessment Financial Services
Credit scoring Fraud detection Risk management Human Resources Employee retention analysis Recruitment optimization
...
Real-Time Predictive Analytics Applications 
Personalized marketing and inventory management Finance Fraud detection and
risk management Healthcare Patient monitoring and predictive diagnostics Manufacturing
...Finance The finance industry utilizes real-time predictive analytics to enhance security and risk
assessment ...Risk Management: Predictive models help in assessing
credit risk and market risk, allowing companies to make informed lending and investment decisions
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Notwendiges Eigenkapital für die
Geschäftsiee als Selbstläufer 
Der Start in die eigene Selbständigkeit beginnt mit einer Geschäftsidee u.zw. weit vor der Gründung des Unternehmens. Ein gute Geschäftsidee mit neuartigen Ideen und weiteren positiven Eigenschaften wird zur
"Selbstläufer Geschäftsidee". Hier braucht es dann nicht mehr besonders viel, bis sich ein grosser Erfolg einstellt ...