Customer Service
Social Media
Statistical Analysis for Consumer Insights
Creating Value with Big Data Analytics
Key Insights
Big Data Metrics for Success
Predictive Insights for Managers
Key Takeaways
Future Insights 
These techniques help organizations to: Identify potential market opportunities Understand
customer behavior Optimize resource allocation Mitigate risks and uncertainties Improve overall business performance Key Components of Future Insights The following components are crucial
...Healthcare: Anticipating patient needs and improving
service delivery through predictive patient analytics
...
Social Media 
Customer Engagement: Companies can interact directly with customers, fostering loyalty and trust
...Customer Support: Many businesses utilize social media for real-time customer
service ...
Statistical Analysis for Consumer Insights 
By leveraging data, businesses can make informed decisions that enhance
customer satisfaction, optimize marketing strategies, and improve product offerings
...Customer
Service: Enhancing customer experience through personalized interactions
...
Creating Value with Big Data Analytics 
Analytics refers to the process of examining large and varied data sets to uncover hidden patterns, correlations, market trends,
customer preferences, and other useful business information
...Enhanced Customer Experience By analyzing customer data, businesses can tailor their products and
services to meet specific customer needs and preferences
...
Key Insights 
Some key applications include: Marketing: Analyzing
customer behavior and campaign performance
...Improved Customer Understanding: Helps in tailoring products and
services to meet customer needs
...
Big Data Metrics for Success 
Customer Engagement Metrics that measure customer interactions and satisfaction
...Customer Retention Rate The percentage of customers who continue to use a
service or product over time
...
Predictive Insights for Managers 
Analytics Data Collection: Gathering relevant data from various sources, including internal databases, market research, and
customer feedback
...Increased Customer Satisfaction: Understanding customer behavior leads to better
service and product offerings
...
Key Takeaways 
Competitive Advantage: Companies that leverage analytics can outperform their competitors by identifying market trends and
customer preferences
...Self-
Service Analytics: More organizations will adopt self-service tools that allow non-technical users to analyze data independently
...
Text Mining Research 
Applications of Text Mining in Business Text mining has a wide range of applications in various business domains, including:
Customer Sentiment Analysis: Understanding customer opinions and emotions through social media, reviews, and surveys
...Real-Time Analysis: The demand for real-time text analysis is increasing, particularly in areas like customer
service and social media monitoring
...
Understanding Business Metrics Efficiently 
Inventory Turnover, Production Efficiency
Customer Metrics Metrics focused on customer satisfaction and engagement
...Churn Rate: The percentage of customers who stop using a product or
service during a given timeframe
...
Nebenberuflich (z.B. mit Nebenjob) selbstständig u. Ideen haben
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 ...
Nebenberuflich selbstständig 
Nebenberuflich selbständig ist, wer sich neben seinem Hauptjob im Anstellungsverhältnis eine selbständige Nebentigkeit begründet.