Statistical Models
Measuring Success of Predictive Analytics
Predictive Analytics
Identifying Trends with Predictive Insights
Key Success Factors
Confirmation
Predictive Analytics Essentials
Visual Models
Analyzing Data Relationships 
Enhancing Predictive
Models: Insights gained from data relationships can improve the accuracy of predictive models
...Chi-Squared Test: This
statistical test evaluates the association between categorical variables
...
Measuring Success of Predictive Analytics 
Predictive analytics is a branch of advanced analytics that uses historical data,
statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes based on historical data
...Benchmarking Benchmarking involves comparing the performance of predictive analytics
models against industry standards or competitors
...
Predictive Analytics (K) 
Predictive analytics is a branch of advanced analytics that uses various
statistical techniques, including machine learning, predictive modeling, and data mining, to analyze historical data and make predictions about future events
...By utilizing algorithms and statistical
models, organizations can forecast future outcomes based on past behaviors
...
Identifying Trends with Predictive Insights 
Overview Predictive insights involve the use of
statistical algorithms and machine learning techniques to identify patterns in data, allowing businesses to make informed decisions
...Modeling: Applying statistical
models and machine learning algorithms to identify patterns and forecast future trends
...
Key Success Factors 
Key Success Factors in Predictive Analytics Predictive analytics 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
...The accuracy, completeness, and reliability of data directly impact the predictive
models' performance
...
Confirmation 
Model Validation: Confirms that predictive
models are functioning as intended and producing reliable outcomes
...Statistical Testing Statistical tests can be used to confirm hypotheses derived from data analysis
...
Predictive Analytics Essentials 
Predictive analytics is a branch of advanced analytics that uses
statistical algorithms and machine learning techniques to identify the likelihood of future outcomes based on historical data
...Model Building: Selecting and applying appropriate statistical and machine learning
models ...
Visual Models 
Visual
models are graphical representations of data that facilitate the understanding and analysis of complex information in the field of business analytics
...Pie Charts A circular
statistical graphic divided into slices to illustrate numerical proportions
...
Building Models with Data Mining 
Building
models with data mining involves utilizing various algorithms and techniques to identify patterns, predict outcomes, and enhance decision-making processes
...The data is typically stored in databases and can be analyzed using
statistical methods, machine learning algorithms, and other techniques
...
Risk Prediction 
By employing various
statistical and machine learning techniques, businesses can anticipate adverse events and make informed decisions to mitigate those risks
...Model Development: Creating predictive
models that can forecast potential risks based on historical data and identified patterns
...
Start mit Franchise ohne Eigenkapital 
Der Weg zum Franchise beginnt mit der Auswahl der Geschäftsidee, d.h. des passenden Franchise-Unternehmen. Ein gute Geschäftsidee läuft immer wie von selbst - ob mit oder ohne Kapitial. Der Franchise-Markt bietet heute immer neues so auch Franchise ohne Eigenkapital...