Credit Risk
Best Practices for Big Data Security
Business
Data Mining Strategies for Competitive Advantage
Understanding Predictive Analytics Framework
Predictive Reporting
Predictive Analytics for Customer Segmentation
Data Mining in Fraud Prevention Techniques
Big Data Solutions for Fraud Prevention 
It manifests in various forms, including:
Credit card fraud Insurance fraud Identity theft Online retail fraud Investment fraud Each type of fraud poses unique challenges, necessitating tailored approaches for detection and prevention
...Blockchain Technology: Utilizing blockchain for secure and transparent transactions to reduce fraud
risk ...
Data Mining for Analyzing Economic Data 
Credit Scoring Financial institutions utilize data mining to assess the creditworthiness of loan applicants
...Risk Management Data mining helps businesses identify potential risks by analyzing historical data and market trends
...
Best Practices for Big Data Security 
Standard (PCI DSS): A set of security standards designed to ensure that all companies that accept, process, store, or transmit
credit card information maintain a secure environment
...controls, encryption, regular audits, employee training, and compliance with regulations, businesses can significantly reduce the
risk of data breaches and protect their valuable information assets
...
Business 
Finance: Assessing
credit risk and predicting stock market trends to inform investment decisions
...
Data Mining Strategies for Competitive Advantage 
Spam detection,
credit scoring, customer segmentation
...Sales forecasting, real estate valuation,
risk management
...
Understanding Predictive Analytics Framework 
Finance
Credit scoring,
risk assessment, and fraud detection
...
Predictive Reporting 
Industry Application Finance
Credit scoring, fraud detection,
risk management
...
Predictive Analytics for Customer Segmentation 
Finance: Identifying high-
risk customers for
credit offerings and fraud detection
...
Data Mining in Fraud Prevention Techniques 
Enhanced Decision Making: Data-driven insights enable organizations to make informed decisions regarding
risk management and fraud prevention strategies
...applied across various sectors to combat fraud: Banking and Finance In the banking sector, data mining is used to detect
credit card fraud, money laundering, and insider trading
...
Essentials 
2 Finance In finance, machine learning is employed for
credit scoring, fraud detection, and
risk management
...
Selbstständig machen z.B. nebenberuflich!
Der Trend bei der Selbständigkeit ist auf gute Ideen zu setzen und dabei vieleich auch noch nebenberuflich zu starten - am besten mit einem guten Konzept ...