Credit Analysis
Financial Transactions
Approaches
Understanding Statistical Models
Common Data Analysis Techniques
Key Insights from Predictive Data Analysis
Using Data for Predictions
Risk Assessment
Financial Transactions 
exchange of money, while non-cash transactions involve the transfer of funds through electronic means such as wire transfers,
credit card payments, and online transactions
...Financial Analytics Financial analytics is the process of using data and statistical
analysis to evaluate financial transactions and make informed decisions
...
Approaches Credit scoring, customer segmentation
...Marketing: Customer segmentation, campaign effectiveness
analysis ...
Understanding Statistical Models These models help organizations make informed decisions based on data
analysis and predictive insights
...2 Finance In finance, statistical models are used for: Risk assessment Portfolio optimization
Credit scoring 4
...
Common Data Analysis Techniques Data
analysis is a crucial component of business analytics, providing insights that can drive decision-making and strategy
...Applications Predictive analysis is commonly used in marketing for customer segmentation, in finance for
credit scoring, and in operations for demand forecasting
...
Key Insights from Predictive Data Analysis Predictive data
analysis is a branch of data analytics that uses statistical algorithms and machine learning techniques to identify the likelihood of future outcomes based on historical data
...Finance: Financial institutions apply predictive models for
credit scoring, risk management, and fraud detection
...
Using Data for Predictions Methodology Description Best Suited For Regression
Analysis Analyzing the relationship between variables to predict outcomes
...Credit scoring, marketing strategies 3
...
Risk Assessment Analysis: Once risks are identified, they need to be analyzed to understand their potential impact and likelihood of occurrence
...Type Description Financial Risk Includes risks related to financial markets, currency fluctuations,
credit risk, and liquidity risk
...
Predictive Models of Predictive Models There are several types of predictive models commonly used in business, including: Regression
Analysis: Used to predict a continuous outcome variable based on one or more predictor variables
...Finance Assessing
credit risk and predicting loan defaults
...
Predictive Modeling for Decision Making Data Preprocessing: Cleaning and transforming data to ensure its quality and suitability for
analysis ...Customer segmentation,
credit scoring
...
Data Mining Fundamentals Market Basket
Analysis: Identifying products that frequently co-occur in transactions
...Email filtering,
credit scoring, diagnosis in healthcare
...
burgerme 
burgerme wurde 2010 gegründet und gehört mittlerweile zu den erfolgreichsten und wachstumsstärksten Franchise-Unternehmen im Lieferdienst-Bereich.
burgerme spricht Menschen an, die gute Burger lieben und ganz bequem genießen möchten. Unser großes Glück: Burgerfans gibt es in den unterschiedlichsten Bevölkerungsgruppen! Ob jung oder alt, ob reich oder arm – der Burgertrend hat nahezu alle Menschen erreicht, vor allem, wenn es um Premium Burger geht.
Deutsch
Österreich
Italiano
English
Français
Español
Nederlands
Português
Polski
