Descriptive Metrics
Leveraging Data Analysis for Performance Management
Leverage Data for Employee Engagement
Generating Reports for Operational Improvement
Marketing Analytics
Supporting Strategic Alignment with Analytics
Data Comparisons
Support Decision Making with Real-Time Data
Building Customer Loyalty through BI 
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
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Leveraging Data Analysis for Performance Management 
Types of Data Analysis
Descriptive Analysis: Summarizes past data to understand what has happened
...Employee Performance Evaluation Data analysis can be utilized to assess employee performance through
metrics such as productivity, quality of work, and engagement levels
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Leverage Data for Employee Engagement 
According to research, organizations with high employee engagement levels outperform their competitors in various
metrics ...This can involve:
Descriptive analytics to summarize past performance Diagnostic analytics to understand why certain trends are occurring Predictive analytics to forecast future engagement levels Prescriptive analytics to recommend specific actions Step 3: Actionable Insights Data
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Generating Reports for Operational Improvement 
practice falls under the category of Business and is a key component of Business Analytics, specifically within the realm of
Descriptive Analytics
...to facilitate operational improvement: Report Type Description Key
Metrics Performance Reports Assess the efficiency and effectiveness of operations
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Marketing Analytics 
Types of Marketing Analytics Marketing analytics can be categorized into three main types:
Descriptive Analytics: Focuses on understanding past performance by analyzing historical data
...Hootsuite) Analyzes social media performance and engagement
metrics ...
Supporting Strategic Alignment with Analytics 
Performance
Metrics: Measurement systems to evaluate progress towards objectives
...The following are key types of analytics that contribute to strategic alignment:
Descriptive Analytics: Analyzes historical data to understand past performance
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Data Comparisons 
Below are the primary types of data comparisons:
Descriptive Comparisons: These comparisons summarize data characteristics, such as mean, median, mode, and standard deviation
...Benchmarking Compares performance
metrics against industry standards
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Support Decision Making with Real-Time Data 
Human Resources: Real-time employee performance
metrics can guide talent management and workforce planning
...Key areas where real-time data impacts business analytics include:
Descriptive Analytics Descriptive analytics focuses on understanding past performance through historical data
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Data-Driven Decision Making 
Improved Performance: By analyzing performance
metrics, organizations can identify areas for improvement
...Types of Data Used in DDDM Organizations utilize various types of data in their decision-making processes, including:
Descriptive Data: Information that describes past events, helping organizations understand what has happened
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Value Creation 
Analytical Technique Description Value Created
Descriptive Analytics Analyzing historical data to understand trends and patterns
...Measuring Value Creation To assess the effectiveness of value creation efforts, organizations often employ various
metrics, including: Metric Description Purpose Return on Investment (ROI)
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Start mit Franchise ohne Eigenkapital 
Der Weg zum Franchise beginnt mit der Auswahl der Geschäftsidee, d.h. des passenden Franchise-Unternehmen. Ein gute Geschäftsidee läuft immer wie von selbst - ob mit oder ohne Kapitial. Der Franchise-Markt bietet heute immer neues so auch Franchise ohne Eigenkapital...