Customer Profiling
Methods
Models
Improvements
Data Integrity
Data Verification
Data Validation
Data Quality
Anomaly Detection 
deviations, or exceptions, can signify critical incidents, such as fraud, a technical glitch, or a significant change in
customer behavior
...Isolation Forest: This tree-based model isolates anomalies instead of
profiling normal data points
...
Methods This method is particularly useful for analyzing
customer feedback, social media, and other textual data sources
...Market segmentation, customer
profiling ...
Models Used for market segmentation and
customer profiling ...
Improvements Data Quality Improvement Techniques Technique Description Benefits Data
Profiling Analyzing data sources for quality and consistency
...Customer segmentation, anomaly detection
...
Data Integrity Customer Trust: Maintaining data integrity fosters trust with customers, as they expect organizations to handle their data responsibly
...Description Data Quality Tools Software that helps in
profiling, cleansing, and monitoring data quality
...
Data Verification Data
Profiling Analyzes data characteristics to identify potential quality issues
...Enhance
customer satisfaction through accurate reporting and analysis
...
Data Validation Data
Profiling: Analyzes data for quality issues and provides insights into the structure and content of the data
...Case Study 2: Financial Services A financial institution faced compliance issues due to inaccurate
customer data
...
Data Quality Poor data quality can lead to: Inaccurate insights and analyses Increased operational costs Loss of
customer trust Regulatory compliance issues Reduced competitive advantage Dimensions of Data Quality Data quality can be assessed through several dimensions, each providing a
...include: Tool/Technology Description Data
Profiling Tools Tools that analyze data to assess its quality and identify anomalies
...
Enhancing Decisions with Statistical Analysis functions: Business Function Application Marketing Market segmentation and
customer profiling ...
Recommendations Recommended practices include: Regularly auditing data sources Implementing data governance frameworks Utilizing data
profiling tools 3
...Machine Learning Platforms Automated model building, scalability Predictive modeling,
customer segmentation Big Data Technologies Handling large datasets, distributed computing Data storage, complex analytics 4
...
Selbstständig machen mit Ideen 
Der Weg in die Selbständigkeit beginnt nicht mit der Gründung eines Unternehmens, sondern davor - denn: kein Geschäft ohne Geschäftsidee. Eine gute Geschäftsidee fällt nicht immer vom Himmel und dem Gründer vor die auf den Schreibtisch ...
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