Analytics, Intelligence & Data Science

High Quality Data at Competitive Prices

SSRS is proud to offer clients high quality data at competitive prices by employing innovative and experimentally validated analytic methods to time-tested techniques. Our highly experienced Methods, Analytics, and Data Science (MADS) group conceptualizes and manages survey data collection from design to dissemination. They have extensive expertise in methodological experimentation, sampling, weighting, data collection planning, monitoring, adaptive and tailored design, predictive modeling, data editing and imputation, documentation, reporting, and quantitative analysis.

Our team of survey methodologists, statisticians, and data scientists have pioneered customizable predictive modeling techniques for sampling and reaching typically underrepresented populations; employing tailored and adaptive design methods to improve survey efficiency, and applying big-data and machine learning methods to survey design. Additionally, we have developed and tested novel approaches to weighting sample data to provide the most accurate insights for our clients.

Our MADS team is comprised of highly-trained statisticians versed in multiple analytic methods to turn data into relevant and meaningful insights. We are committed to rigor and transparency in all our analytic endeavors and continually work to advance survey science for the benefit of our clients and of public opinion broadly.

Methodological and Survey Design offerings include

  • Predictive model-based sample design
  • Adaptive and responsive designs
  • Advanced weighting and calibration for nonprobability and hybrid samples (Encipher)
  • Advanced nonresponse bias analysis
  • Imputation and split questionnaire designs
  • Small area estimation
  • Model-based political polling techniques

Statistical and Analytic Capabilities include

  • Statistical testing for significance
  • Choice-based analysis (Discrete Choice Analysis, Conjoint, Max-Diff)
  • Customer/population segmentation
  • Cluster and latent class analysis
  • Model-based recursive partitioning
  • Regression discontinuity analysis
  • Key drivers analysis (Stepwise Regression, Correlations, Discriminant Function Analysis)
  • Quadrant analysis
  • Mind mapping
  • Pricing modeling (e.g., Van Westendorp)
  • Net Promoter Score (NPS)
  • Stated vs. derived importance
  • List experiments
  • Perceptual mapping
  • CHAID analysis (Tree Structured Data Analysis)
  • TURF (Total Unduplicated Reach and Frequency) Analysis

Methods, analytics, and data science is our thing.

Our highly experienced SSRS Methods, Analytics, and Data Science (MADS) team conceptualizes and manages survey data collection from design to dissemination. Let's start a conversation about how we can help with your next project!

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