ANALYTICS
Analysis at your fingertips.
_edited.png)
DRIVER MODELS
Analysis Information
WHAT IS IT?
-
What are the factors that determine whether a consumer prefers your brand versus a competing brand?
-
What determines the appeal of a new product concept?
HOW DO WE USE IT?
-
We use linear and logistic regression, Shapley value and incorporation of Bayesian net modeling.
-
These methods are used to determine answers to your questions around the motivations of customer choices.
-
We also make our results easy to understand for executives.
BAYESIAN NETWORKS
Analysis Information
WHAT IS IT?
Bayesian nets are especially useful for deriving probabilistic relationships and influence between variables from datasets.
HOW DO WE USE IT?
We use this method of analysis widely across multiple solutions, for extracting particular reasoning behind customer choices, and brand influence.
​
These abstract results are then refined into actionable insights, so that your business is positioned into future successes.
TYPING TOOLS
Analysis Information
WHAT IS IT?
_edited.png)
We use a combination of social psychology and advanced methods
(e.g. latent class analysis), and the concept of core members to identify actionable segments and develop extremely well-working typing tools.
HOW DO WE USE IT?
We use latent class analysis, k-means, and the concept of core members
(see resources).
​
We use advanced machine learning and imbalance correction methods to develop strong typing tools.
The best typing tools are not just selected based on maximum accuracy, but also optimal profitability.
DISCRETE CHOICE ANALYSIS
Analysis Information
WHAT IS IT?
Discrete choice analysis refers to the method of identification (and prediction) for understanding how the customer weighs the importance of a particular choice, when given various options to choose from.
HOW DO WE USE IT?
[COMING SOON]
RESOURCES
MACHINE LEARNING
Analysis Information
WHAT IS IT?
This form of modeling has become a cutting-edge tool, used by numerous companies to extract market predictions, using historical data.
HOW DO WE DO IT?
We can use data provided by your company, where we clean, engineer, and transform the data to be fed into the machine learning algorithm.​
​
The resulting predictions are then distilled into expected outcomes and interpreted trajectories.
RESOURCES
-
[COMING SOON]
ANALYTICAL TROUBLESHOOTING
Service Information
WHAT IS IT?
If you're stuck on analysis needed for a project, we can provide recommendations from our expertise and experiences.
HOW DO WE DO IT?
We can meet to walkthrough your current progress, desired outcomes, and intended use.
This is then used as we apply our methods of analysis to relay analytic results in a way that is both clear and valuable.
CONTACT US
Thank you for your interest in our research. Get in touch with us for any questions or comments regarding our work and publications.