Aggregation
Big Data Frameworks for Financial Analysis
Understanding Business Analytics
Data Analysis Frameworks
Data Perspectives
Understanding Feature Engineering
Revenue Analysis
Importance of Descriptive Analytics
Solutions 
It answers the question, "What happened?" by providing insights through data
aggregation and mining
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Big Data Frameworks for Financial Analysis Real-time data pipelines Log
aggregation Event sourcing 3
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Understanding Business Analytics Data
aggregation, Data mining, Reporting Predictive Analytics Uses statistical models and machine learning techniques to forecast future outcomes based on historical data
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Data Analysis Frameworks Key Components: Data
Aggregation Statistical Measures (mean, median, mode) Data Visualization (charts, graphs) Applications: Sales reports Customer behavior analysis 2
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Data Perspectives Data
aggregation, data mining, reporting Diagnostic Analysis Explains why something happened by identifying correlations and causal relationships
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Understanding Feature Engineering Aggregation: Combining multiple features into a single feature, often used in time series data to summarize trends
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Revenue Analysis Descriptive Analytics Descriptive analytics provides insights into past revenue performance through data
aggregation and visualization
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Importance of Descriptive Analytics Overview of Descriptive Analytics Descriptive analytics involves the use of data
aggregation and mining techniques to provide insight into past performance
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Data Workflows Data Transformation: Data is transformed into a suitable format for analysis, including normalization and
aggregation ...
Understanding the Importance of Descriptive Analytics It involves the use of data
aggregation and mining techniques to provide insights that can help businesses make informed decisions
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Mit den besten Ideen nebenberuflich selbstständig machen 
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 ...
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