Data Analysis
Data analysis in digital business engineering involves collecting and examining quantitative data to gain insights. This can include business metrics, user behavior analytics, process performance indicators, market research data, or system performance measurements.
By systematically analyzing this data, Digital Business Engineers can make informed decisions rather than relying on assumptions. Data analysis provides insights into business patterns, process inefficiencies, or market opportunities that may not be immediately obvious. In a broader sense, data analysis enables you to quantitatively validate business and technology decisions: measuring impact and ROI. It thus contributes to an 'evidence-based' improvement cycle for business processes and digital solutions.
Starting Points
Key Points
- You think in advance about which data you want to collect and how to collect it efficiently, ethically, and securely, considering privacy regulations like GDPR.
- You demonstrate understanding of data quality. You check the dataset for completeness, reliability, and biases, and justify the analysis method used.
- You present concrete findings from the data with visualizations (dashboards, graphs, tables) and draw conclusions that link to business recommendations or technical improvement actions.