Data Analysis Services
Transform raw survey data into strategic intelligence. Our statisticians and analysts apply the full range of analytical techniques — from cross-tabulations to advanced multivariate modeling — to answer your business questions with precision.
What Is Market Research Data Analysis?
Market research data analysis is the process of applying statistical methods to quantitative research data to extract meaningful patterns, test hypotheses, identify relationships, and generate actionable insights. It is the bridge between raw survey responses and the strategic decisions those responses are meant to inform.
At Galloway Research Service, data analysis is performed by experienced statisticians and analysts who combine technical expertise with business acumen. We do not just run statistical tests — we interpret results in the context of your industry, competitive landscape, and business objectives. Every analysis is designed to answer specific questions that drive specific decisions, and every deliverable is structured to communicate findings clearly to stakeholders at every level of your organization.
Our analytical capabilities range from foundational cross-tabulations and significance testing to advanced techniques like conjoint analysis, cluster segmentation, key driver modeling, and predictive analytics. Combined with our AI-powered InsIQual platform, we deliver deeper analysis faster than traditional approaches.
Additional Capabilities
- Factor analysis for dimension reduction and construct identification
- Discriminant analysis for group classification
- Perceptual mapping and correspondence analysis
- Time series analysis for tracking data
- Structural equation modeling
- Predictive modeling and machine learning
- Text analytics for open-ended responses
- Data weighting and balancing procedures
- Missing data analysis and imputation
- Custom statistical modeling for unique business questions
Power Your Data Analysis with InsIQual
Our proprietary AI-powered research platform delivers faster insights, better data quality, and deeper analysis.
Explore the PlatformStatistical Analysis Methods
We select the right analytical technique for each research objective, ensuring your data answers the questions that matter most.
Cross-Tabulations & Significance Testing
The foundation of quantitative analysis. We produce comprehensive banner tables cross-tabulating every question by key demographic, behavioral, and attitudinal segments. Statistical significance testing identifies meaningful differences between groups, not just random variation.
Regression & Correlation Analysis
Identify the relationships between variables and the strength of those relationships. Regression analysis reveals which factors most strongly predict outcomes like purchase intent, satisfaction, or brand preference — enabling you to focus resources on what actually moves the needle.
Cluster Segmentation
Identify naturally occurring groups within your audience based on shared attitudes, needs, and behaviors. Cluster analysis and latent class modeling reveal distinct consumer segments with unique profiles, enabling targeted marketing and product strategies.
Conjoint & MaxDiff Analysis
Measure trade-offs and priorities using choice-based techniques. Conjoint analysis reveals how consumers value different product attributes and price points. MaxDiff identifies the most and least important features, messages, or benefits from a competitive set.
TURF Analysis
Total Unduplicated Reach and Frequency analysis optimizes product portfolios, flavors, messages, or SKU selections to maximize the total number of consumers reached. TURF identifies the combination of options that appeals to the broadest audience.
Key Driver Analysis
Determine which attributes most strongly drive overall satisfaction, purchase intent, NPS, or any key outcome. Key driver analysis identifies priority improvement areas by mapping importance against current performance, revealing your biggest opportunities.
Our Data Analysis Process
Analysis Plan Development
Before data collection begins, we develop a detailed analysis plan that maps every research objective to specific analytical techniques. This ensures the questionnaire collects the right data and the analysis answers the right questions.
Data Cleaning & Preparation
We clean the raw dataset — removing incomplete responses, flagging quality issues, standardizing variables, and applying any necessary weighting to ensure representativeness. Clean data is the foundation of valid analysis.
Descriptive Analysis
We produce comprehensive cross-tabulations, frequency distributions, and summary statistics that describe your data across all key segments and variables. This provides the factual foundation for deeper analysis.
Advanced Analytics
Based on the analysis plan, we apply the appropriate advanced techniques — regression, segmentation, conjoint, key drivers, or other methods — to answer your strategic questions with statistical rigor.
Insight Development
Our analysts interpret statistical outputs in the context of your business objectives, industry knowledge, and competitive landscape. We translate numbers into findings and findings into recommendations.
Reporting & Presentation
We deliver results in visual, executive-ready formats — reports, dashboards, and presentations — with clear data visualization and strategic recommendations that drive action.
Frequently Asked Questions
Need Expert Data Analysis?
Whether you need us to analyze data from a study we conducted or one you collected yourself, our team delivers the statistical rigor and strategic insights your decisions demand.