Churn Analysis
Enhance Business Processes
Techniques for Building Predictive Models
Customer Retention
Future Trends in Predictive Analytics
Data Mining Trends
Results
Customer Analytics
Objectives 
Scenario
Analysis: Evaluating different business scenarios to determine the best course of action
...Churn Prediction: Forecasting which customers are likely to leave and implementing retention strategies
...
Enhance Business Processes This approach focuses on optimizing decision-making by providing recommendations based on data
analysis ...Predicting customer
churn based on past behavior
...
Techniques for Building Predictive Models Simplicity, ease of interpretation Logistic Regression A regression
analysis used for prediction of outcome of a categorical dependent variable based on one or more predictor variables
...Customer
churn prediction, fraud detection Effective for binary outcomes, interpretable coefficients Decision Trees A model that uses a tree-like graph of decisions and their possible consequences
...
Customer Retention the strategies and tactics that businesses employ to keep their existing customers engaged and satisfied, thereby reducing
churn and enhancing customer loyalty
...Methods include: Customer satisfaction surveys Net Promoter Score (NPS) assessments Online reviews and ratings
analysis Role of Prescriptive Analytics in Customer Retention Prescriptive analytics involves the use of data, algorithms, and machine learning to recommend actions for achieving
...
Future Trends in Predictive Analytics Natural Language Processing (NLP): Enhancing data
analysis by interpreting human language data
...Predictive maintenance Reduced downtime and maintenance costs Telecommunications
Churn prediction Improved customer retention strategies 4
...
Data Mining Trends Natural Language Processing (NLP): Enabling machines to understand and interpret human language, facilitating sentiment
analysis and customer feedback mining
...Churn Prediction: Identifying at-risk customers and implementing retention strategies
...
Results business, business analytics, and particularly predictive analytics, the term "results" refers to the outcomes derived from data
analysis and modeling processes
...Analysis of customer
churn rates and their causes
...
Customer Analytics Diagnostic Analytics: This
analysis seeks to understand the reasons behind certain customer behaviors
...Increased Customer Retention: By identifying at-risk customers, businesses can implement strategies to retain them, thus reducing
churn rates
...
Customer Customer Satisfaction
Analysis Measuring how products and services meet or exceed customer expectations
...Churn Analysis Identifying customers who are likely to stop using a service or product and understanding the reasons behind it
...
Predictive Analytics (K)
Data Processing: Cleaning and preparing data for
analysis to ensure accuracy and reliability
...Marketing Customer segmentation,
churn prediction, campaign effectiveness
...
Nebenberuflich (nebenbei) selbstständig m. guten Ideen 
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 ...
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