Financial Trends
Synthesis
Data Mining Case Studies
Using Descriptive Analytics for Business Planning
Managing Business Performance
Aligning Business Goals with Data Analysis
Understanding Time Series Analysis Techniques
Statistical Techniques for Managers
Reports 
analytics, reports play a crucial role in descriptive analytics, which focuses on summarizing historical data to identify
trends and patterns
...Financial Reports: These reports present financial data, including income statements, balance sheets, and cash flow statements, to assess the financial health of an organization
...
Synthesis 
process within business analytics: Text Mining: Extracting useful information from unstructured text data to identify
trends and patterns
...Case Study 2:
Financial Services Firm A financial services firm applied synthesis to assess risk in their loan approval process
...
Data Mining Case Studies 
Company Walmart Application Inventory Optimization Data Used Sales Data, Seasonal
Trends Outcome Reduced Stockouts, Improved Customer Satisfaction Walmart employs data mining techniques to optimize its inventory management
...Financial Services Data mining is also widely used in the financial services industry for risk assessment, fraud detection, and customer segmentation
...
Using Descriptive Analytics for Business Planning 
Descriptive analytics is a branch of data analytics that focuses on summarizing historical data to identify patterns and
trends ...Finance Evaluating historical
financial data to inform budgeting and investment decisions
...
Managing Business Performance 
Data Collection: Gathering relevant data from various sources, including
financial reports, customer feedback, and operational metrics
...Analysis: Using analytical tools to interpret data and identify
trends ...
Aligning Business Goals with Data Analysis 
Risk Management: Understanding data
trends can help businesses identify potential risks and develop strategies to mitigate them
...Financial analysis, sales forecasting, and data visualization
...
Understanding Time Series Analysis Techniques 
analysis involves methods for analyzing time series data to extract meaningful statistics and identify characteristics such as
trends, seasonal patterns, and cyclical behaviors
...Some notable examples include:
Financial Markets: Analyzing stock prices, trading volumes, and market trends
...
Statistical Techniques for Managers 
These techniques enable managers to interpret data effectively, identify
trends, and make informed decisions based on empirical evidence
...Variance Analysis Variance analysis is a quantitative method used to assess the differences between planned
financial outcomes and the actual financial performance
...
Techniques for Data Visualization 
using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand
trends, outliers, and patterns in data
...Financial Reporting: Creating dashboards for real-time financial performance monitoring
...
Data Transformation 
Customer Analytics: Transforming customer data to analyze behavior, preferences, and
trends, helping in targeted marketing
...Financial Analysis: Financial institutions transform transaction data for risk assessment and regulatory compliance
...
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 ...