Unified Methods
Qualitative insight, quantitative evidence, and network analysis brought together in one analytical workflow.
See More Than Counts Alone
Data can tell you what happened. Qualitative evidence can help explain why. Sun Data Analytics, LLC brings both together to uncover patterns that would be difficult to see through either approach alone.
This work combines:
- descriptive statistics;
- qualitative and text analysis;
- group and trend comparisons;
- and advanced network modeling through Quantitative Ethnography and Epistemic Network Analysis.
The result is a clearer picture of not only which ideas, behaviors, or concerns appear in the data, but how they connect.
From Raw Data to Clear Findings
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Step 1
Describe the Pattern
Use counts, percentages, averages, medians, distributions, and trends to show what is happening.
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Step 2
Explain the Meaning
Use transcripts, responses, documents, and coded evidence to understand the context behind the numbers.
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Step 3
Reveal the Connections
Model how ideas and behaviors occur together, differ across groups, or change over time.
Quantitative Modeling for Better Decisions
Descriptive statistics show what happened. Quantitative modeling helps determine which patterns are meaningful enough to guide action.
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01
Benchmark Performance
Compare results across topics, formats, time periods, or groups using consistent performance standards.
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02
Identify Opportunities
Combine multiple measures to highlight strengths, weaknesses, and areas where additional effort may have the greatest value.
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03
Test Recommendations
Use statistical models and validation checks to determine whether a pattern is reliable enough to support planning.
These methods do not replace judgment. They make comparisons more consistent, assumptions more visible, and recommendations easier to explain.
Qualitative and Text Analysis
Text contains meaning that cannot always be reduced to a single metric.
Qualitative analysis helps examine how people describe an issue, explain their decisions, connect ideas, and interpret their experiences. Depending on the project, this can include coding interviews, transcripts, open-ended survey responses, documents, headlines, or other written materials.
Traditional text analysis can show how often a topic appears. That is useful, but frequency does not always explain how ideas are being used or understood.
Epistemic Network Analysis goes further by showing how coded ideas and behaviors are connected.
For example, two groups may discuss the same topics at similar rates while connecting those topics in very different ways. One group may associate risk with uncertainty and delay, while another associates risk with planning and adaptation.
ENA makes these differences visible through interpretable network models.
Example ENA Network
The example below uses a small prepared dataset of anime news headlines coded by topic and event type.
The red network summarizes the overall pattern of connections between codes. Individual date-level points are hidden by default, but visitors can turn them on through the legend to examine how the pattern varies over time.
Turn Complex Data Into Connected Evidence
Sun Data Analytics helps organizations move beyond isolated statistics or disconnected themes.
The goal is to produce findings that are measurable, interpretable, and grounded in the original evidence.