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Advanced Analytics

NRG Research Group offers you a comprehensive array of advanced analytical services. Our analyses of public opinion and market research can go beyond the traditional frequency and cross tabular analysis to provide insight into the relationships between data.

The advantages to you include:

  • Local service and client involvement – although advanced analytics resources are concentrated in Vancouver, we have local consultants in all our offices who are involved in projects and interact regularly with you and the Vancouver resource centre
  • Custom approach and transparency - NRG won’t sell you generic “Black Box” statistical models or analytical procedures to apply to your project regardless of their application. We develop each of our analytical procedures within your data parameters and with your research and organizational objectives in mind.
  • Full and thorough explanations - when NRG develops approaches to fit your needs, we can fully explain the analyses that we perform, and work with you to improve your understanding of the results, build your capacity to explain the results to your stakeholders and, if you want, teach you how to conduct the analysis yourself in the future.
  • Tailored procedures - NRG has a number of analytical techniques to add value to a particular research study. The procedures that we recommend depend on:
    • Type of data available – Survey data collected at a single time, or a few times, requires a different approach than data collected frequently or monthly over, say, 5 to 10 years.
    • Nature of the sample – The size of the sample and of the sub-groups that can be reliably compared will affect the types of analyses that can be conducted.
    • Types of survey objectives and questions posed – Different research objectives and types of data require different analytical approaches. For example, attitudinal data lends itself to different analytical approaches than data about past or predicted behaviours.
    • The most suitable types of analytic techniques to use. Choices include:
      • Penalty Reward analysis – identifies attributes customers may use to penalize or reward a company for delivering or not delivering.
      • Cluster Analysis –groups participants in “like minded” segments to develop things like targeted communication programs
      • Conjoint Analysis –models the relative importance of different trade-off attributes that individuals consider when they choose between alternatives
      • Correspondence Analysis / Multidimensional Scaling / Perceptual Mapping – helps you understand how consumers perceive strengths and weaknesses of companies, products and services in the marketplace
      • Predictive Analyses – uses predictive techniques such as Discriminant, Logistic, Ordinal, Logit, and other regression models to predict group membership from a set of individual characteristics, attitudes or behaviours.
      • Factor Analysis –focuses on the important structures underlying attitudes, opinions and preferences.
      • Multiple Regression and Advanced regression models – helps you understand how respondents’ evaluations of product, service or political attributes drive a set of key indicators such as intention to purchase or vote or likelihood of being satisfied with a product or service.
      • Time-series analysis - models the relationships between variables over long periods of time and predicts future data using past data.