Data Quality Management
Key Concepts in Big Data
Data Trends
Real-Time Big Data
Data Insights
Landscape
Data Analysis Basics
Statistical Data Analysis for Strategic Decisions
Performance Data 
Performance
data refers to the quantitative and qualitative information that organizations collect to assess the efficiency and effectiveness of their operations, strategies, and personnel
...Operational Performance Data Production efficiency Supply chain metrics
Quality control statistics Employee Performance Data Employee productivity Employee satisfaction surveys Turnover rates
...retention rates Importance of Performance Data Performance data plays a vital role in several areas of business
management: Informed Decision-Making: Performance data provides the necessary insights for managers to make informed decisions regarding strategy, resource allocation,
...
Key Concepts in Big Data Big
Data refers to the vast volumes of structured and unstructured data that are generated by individuals, organizations, and devices on a daily basis
...Veracity The
quality and accuracy of the data, which can affect decision-making
...SAS: Software suite used for advanced analytics, business intelligence, and data
management ...
Data Trends Data trends refer to the patterns and movements in data over time that can provide valuable insights for businesses
...customer experience through personalized services Optimize operations by forecasting demand and supply Improve risk
management and compliance 2
...in Analyzing Data Trends Despite the advantages, businesses face several challenges when analyzing data trends: Data
Quality: Poor data quality can lead to inaccurate insights
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Real-Time Big Data Real-Time Big
Data refers to the processing and analysis of large volumes of data as it is generated, allowing businesses to make immediate decisions based on the most current information available
...Data
Quality: Maintaining high-quality data is essential for accurate analysis and decision-making
...range of applications across various industries, including: Finance: Fraud detection, algorithmic trading, and risk
management ...
Data Insights Data insights refer to the actionable information derived from data analysis, which can significantly influence business decisions and strategies
...Common applications include: Credit scoring Portfolio
management Algorithmic trading 4
...Techniques involve: Demand forecasting Process optimization
Quality control analysis 5
...
Landscape The term landscape in the context of business analytics and
data analysis refers to the comprehensive view of various factors that influence a business's performance and decision-making processes
...Predictive Analytics Prescriptive Analytics Data Governance Data
Quality Management Data Privacy Regulations Data Security Protocols Data Sources Data sources are fundamental to the business analytics landscape
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Data Analysis Basics Data analysis is a systematic approach to collecting, processing, and interpreting data to extract meaningful insights and support decision-making in various business contexts
...SAS - A software suite used for advanced analytics, business intelligence, and data
management ...Challenges in Data Analysis Despite its importance, data analysis comes with several challenges: Data
Quality: Poor quality data can lead to inaccurate conclusions
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Statistical Data Analysis for Strategic Decisions Statistical
Data Analysis for Strategic Decisions is a crucial aspect of business analytics that involves the use of statistical methods to analyze data and support decision-making processes
...Risk
Management: Statistical methods allow businesses to assess risks and uncertainties, enabling better risk management strategies
...Statistical
Quality Control Uses statistical methods to monitor and control a process
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Quality Assurance Quality Assurance (QA) refers to the systematic processes implemented in a business to ensure that the products or services meet specified requirements and standards
...Risk
Management: Identifies potential issues before they escalate into significant problems
...Quality Circles, PDCA Cycle Six Sigma A
data-driven approach aimed at reducing defects and improving quality
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Data Mining Techniques for HR Data mining techniques in Human Resources (HR) involve the use of advanced analytical methods to extract valuable insights from large datasets related to employee performance, recruitment, retention, and overall workforce
management ...Data
Quality: Inaccurate or incomplete data can lead to misleading insights, making data quality a critical factor
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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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