Performance Analysis
Building Customer Loyalty through BI
Best Practices for Predictive Model Development
Data Environments
Intelligence
Custom Dashboards for Key Metrics
Insights from Surveys
Improvement
Data Mining Techniques for Consumer Insights 
Market segmentation, social network
analysis ...techniques, organizations can better understand their customers, optimize their marketing strategies, and improve overall
performance ...
Science 
Science plays a pivotal role in this process by providing methodologies and frameworks for data
analysis and interpretation
...most common techniques include: Machine Learning: Algorithms that allow computers to learn from data and improve their
performance over time
...
Data Research 
Overview Data research encompasses a wide range of activities, including data collection, data cleaning, data
analysis, and data visualization
...The primary goal is to transform raw data into actionable insights that can inform business strategies and enhance
performance ...
Building Customer Loyalty through BI 
Intelligence Business Intelligence refers to the technologies, applications, and practices for the collection, integration,
analysis, and presentation of business data
...Key components of BI include: Data Mining Reporting
Performance Metrics Descriptive Analytics Predictive Analytics The Importance of Customer Loyalty Customer loyalty is defined as a customer's commitment to repurchase or continue using a brand
...
Best Practices for Predictive Model Development 
Determining the key
performance indicators (KPIs) that will measure success
...Common techniques include: Regression
Analysis Decision Trees Support Vector Machines Neural Networks Ensemble Methods 4
...
Data Environments 
Data Processing: This involves the tools and technologies used to clean, transform, and prepare data for
analysis ...practices, organizations can optimize their data environments to drive better decision-making and enhance overall business
performance ...
Intelligence 
Intelligence Intelligence in business can be categorized into several types: Business Intelligence (BI): The use of data
analysis tools and techniques to support business decision-making
...Machine Learning (ML): A subset of AI that enables systems to learn from data and improve their
performance over time
...
Custom Dashboards for Key Metrics 
Custom dashboards are essential tools in the realm of business analytics, allowing organizations to visualize and track key
performance indicators (KPIs) and other critical metrics
...Analytical Dashboards: Used for data
analysis and exploration, allowing users to delve deeper into the data
...
Insights from Surveys 
Understanding employee satisfaction and engagement Assessing market trends and competition Evaluating product
performance and customer feedback Types of Surveys Surveys can be categorized based on their purpose and methodology
...New product launches, competitive
analysis Feedback Surveys Collect feedback on specific products, services, or experiences
...
Improvement 
intelligence refers to the systematic approach to enhancing business processes, decision-making, and overall organizational
performance through data-driven insights
...Business Intelligence Software: Platforms that facilitate data
analysis, reporting, and dashboard creation to support decision-making
...
Nebenberuflich selbstständig 
Nebenberuflich selbständig ist, wer sich neben seinem Hauptjob im Anstellungsverhältnis eine selbständige Nebentigkeit begründet.