Predictive analytics about consumer behavior, pricing simulators, and demand forecasting.Pricing Simulators
Data mining, presentation and interpretation of results, and social network visualizations.Social Network Visualizations
Expert study design, comprehensive project management, and full report writing.Predictive Modeling
Strategic polling, key indicators, and matching objectives to analytical techniques.Strategic Polling
The article Effective Tools for People Analytics demonstrates that Deductive reasoning emerges as a superior instrument for human resource measurement compared to direct questioning. While direct inquiry can complement deductive reasoning in certain situations, its limitations make it less suitable for human resource measurement’s complex and multifaceted task.
This Greenbook article explains deductive reasoning, a logical process of drawing conclusions from premises. Statistics can support this process when data analysis and evidence-based decision-making are required. Deductive Reasoning and Effective Market Research.
This Quirks Media article, Tips For Using Johnson’s Relative Weights Analysis, explains Johnson’s relative weights analysis, a technique used to evaluate how the response (dependent) variable relates to a set of predictors when those are correlated to each other.
In our article, The Decisiveness of Statistical Inference, we exhibit methods of measuring the accuracy of survey research to gauge brand equity, consumer sentiment, political polls, etc. In these cases we use probability samples to get our most accurate picture.
In our Greenbook blog post The Misrepresentation of Statistical Accuracy – Unethical, but Fraud?, we touch upon one of the most common areas of statistical misrepresentation, the reclassification rates of segmentation typing tools and discuss at what point do unethical practices turn into fraud?
In Advancing the Data Product, we navigate how a data company can take their inventory, collected
survey data, shopping history, or large consumer sentiment studies, and create a subscription
service. This is especially relevant as data companies seek to re-engage their vast amounts of historical data that has now become stale