Developing Data Science solutions involves the iterative inclusion of data sources into models that develop insights. Data Science depends on:
- Rich Data Sources: Data with the potential to show otherwise invisible patterns in organizational or customer behavior
- Information Alignment and Analysis: Techniques to understand data content and combine data sets to hypothesize and test meaningful patterns
- Information Delivery: Running models and mathematical algorithms against the data and producing visualizations and other output to gain insight into behavior
- Presentation of Findings and Data Insights: Analysis and presentation of findings so that insights can be shared
