Business Process Analysis
Historical Data Review
Statistical Analysis Framework
Financial Analysis Using Descriptive Data
Common Pitfalls in Data Analysis Practices
Analyze Operational Data for Improvement
Building Resilience Through Data Analysis
Evaluating Data for Strategic Insights
Business Intelligence Best Practices 
Business Intelligence (BI) refers to the technologies, applications, and practices for the collection, integration,
analysis, and presentation of business data
...leverage BI, organizations must adopt best practices that enhance their analytical capabilities and improve decision-making
processes
...
Historical Data Review 
Historical Data Review is a crucial aspect of
business analytics, particularly in the realm of descriptive analytics
...It involves the examination and
analysis of past data to identify trends, patterns, and insights that can inform future business decisions
...Historical data review serves as the foundation for this analytical
process, enabling businesses to leverage their past performance to make informed decisions
...
Statistical Analysis Framework 
The Statistical
Analysis Framework (SAF) is a structured approach used in
business analytics for analyzing data to extract meaningful insights, support decision-making, and enhance operational efficiency
...This involves: Creating Reports: Documenting the analysis
process, findings, and recommendations in a structured report
...
Financial Analysis Using Descriptive Data 
Financial
analysis using descriptive data is a crucial aspect of
business analytics that focuses on summarizing historical financial information to identify patterns, trends, and insights
...It is the first step in the data analysis
process and serves as the foundation for more advanced analytics, such as predictive and prescriptive analytics
...
Common Pitfalls in Data Analysis Practices 
Data
analysis is a crucial aspect of
business analytics, enabling organizations to make informed decisions based on quantitative evidence
...Poor-quality data can lead to erroneous conclusions, impacting decision-making
processes
...
Analyze Operational Data for Improvement 
Analyzing operational data is a critical
process for
businesses aiming to enhance efficiency, reduce costs, and improve overall performance
...This article explores the methods and benefits of operational data
analysis, focusing on prescriptive analytics, which provides actionable insights based on data analysis
...
Building Resilience Through Data Analysis 
In today's rapidly changing
business environment, organizations are increasingly recognizing the importance of building resilience through effective data
analysis ...By leveraging data analytics, companies can enhance their decision-making
processes, optimize operations, and foster innovation
...
Evaluating Data for Strategic Insights 
Evaluating data for strategic insights is a critical
process in the field of
business analytics, particularly within descriptive analytics
...is to answer the question, "What happened?" through various means, including reporting, data visualization, and statistical
analysis ...
Business Metrics 
Business metrics are quantifiable measures used to assess the performance of a business, track its progress towards goals, and inform decision-making
processes
...Business Metrics in Business Analytics Business analytics involves the use of statistical
analysis and data mining techniques to understand and improve business performance
...
Narratives 
Narratives in the context of
business analytics refer to the structured stories derived from data
analysis that help stakeholders understand insights and make informed decisions
...Decision Making: By providing context and meaning, narratives aid in the decision-making
process, allowing organizations to act based on data-driven insights
...
Mit guten 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 ...