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 Research ServicesAdvanced Analytics     October 22, 2017  
 
Research Methods
 
 
Advanced Analytics
 
 
Qualitative Research
 
 
Focus Group Facility
 

Advanced Analytics

How can we quantify the impact of product or service quality in determining customer loyalty, relative to other factors such as purchase price, the sales process, and the ownership experience? 

What is the best way to segment our customer base to identify and target differences in their product needs and purchase expectations?

What level of future sales growth is realistic, given historical business trends and seasonal fluctuations?

How much can we increase pricing without exceeding the amount that would be considered acceptable by our customers?

How do we ensure that we’re getting a complete picture of our customers’ expectations and attitudes, including the underlying relationships that impact customer satisfaction?

 

RDA Group’s Statistical Consultants are recognized for their ability to integrate data from multiple sources, transforming it, through analysis, into strategic insights and actionable recommendations. Members of our Statistical Consulting Team work as partners with our clients, drawing on multiple databases of both survey returns and internal corporate process metrics to provide targeted answers to questions within a broad range of business activities:

  • Product Quality
  • Product Development
  • Brand Value, Brand Imaging and Positioning
  • Customer Segmentation
  • Loyalty Modeling
  • Pricing Research

Our clients benefit from RDA Group's unique ability to provide a wide range of analytical approaches, from straightforward reporting to the most sophisticated modeling methodologies. Our Statistical Consulting Team, led by experienced, advanced-degreed professionals and certified Six Sigma Black Belts, provides tailored, actionable solutions that enhance our clients' overall business performance and improve their companys' bottom-line results.

RDA Group provides a broad arena of statistical modeling and consulting support:

Leading-Edge Analytical Support

Our Statisticians are “pros” at providing advanced statistical analysis and constructing customized predictive models. Well-versed in a wide array of statistical tools and techniques, primary approaches used by our team members include, but are not limited to:

  • Correlation Analysis
  • Multivariate Regression Analysis
  • Logistic Regression
  • CHAID Analysis
  • Cluster Analysis
  • Leverage (Gap) Analysis
  • Factor Analysis
  • Discriminant Analysis
  • Time Series Analysis
  • Forecasting
  • Customer Segmentation
  • Conjoint, Discrete Choice Modeling
  • Customer Driven Predictive Modeling (CDPM )
  • Price Elasticity
  • Perceptual Mapping
  • Bootstrapping
  • Data Mining
  • Database Integration

 

Methodological Consulting

Our Statisticians and research management professionals work with our clients to develop customized analysis plans and related survey design. RDA Group’s Statisticians also offer formal reviews of project sampling plans and serve as advisors regarding issues such as non-response bias, sample management, and data weighting.

Innovative Research and Development

The Statistical Consultants at RDA Group continually explore new techniques - including those from the academic community - as part of our ongoing effort to further enhance our analytical abilities. Additionally, we regularly develop custom research and analytical tools to meet specific information needs. Our team has developed numerous innovative approaches to solving business problems, including:

  • Customer Driven Predictive Modeling© (CDPM©) — Using a structural equation modeling technique, CDPM extracts the maximum predictive power from data sets and can be utilized to predict satisfaction, loyalty, price, quality, etc.
  • Owner Loyalty Modeling — Using a combination of factor analysis, regression analysis, and structural equation modeling, a predictive model of repurchase loyalty (and ensuing financial gain) can be developed by integrating data related to customer experiences and attitudes throughout the ownership lifecycle.
  • Prioritization of Quality Attributes — Using the conceptual framework of Failure Mode Effect Analysis (FMEA) and/or Discriminant Analysis, product or service attributes can be prioritized by those having the greatest impact on customer satisfaction.