What It is
Modeling Advantage is a one-price solution for companies or teams that need modeling support but do not have the necessary software, expertise, or bandwidth. It's a stand-alone product where you provide the data and we'll take care of the heavy lifting.
Modeling Advantage is cost-effective and straightforward where pricing is transparent and dynamic to fit your budget. You control the cost by determining the size of your data and the number of business analytics models required.
Below are some examples of predictive models we develop based on data:
Provide your customers credit data and associated losses and we'll provide a predictive model on probability of loss (or default).
Grant access to your CRM database and we'll provide the probability of a customer returning to your venue.
Provide your maintenance operating fault flags and we'll provide a model to predict maintenance and shutdowns.
Use human resource data to build a model that predicts who has the highest likelihood of leaving your organization.
Provide us with your historical customer churn and active customers and we'll rank order the customers who are most likely to leave your portfolio.
Contact us for a complimentary exploration and jumpstart your data-driven business process. Simply provide a masked subset of your data with a summary of your intended business analytics model. We'll develop the model and provide any potential correlation at no cost or further obligation.
Data is limited to 10 variables by 1000 records. Terms and conditions apply.
Pricing is simple and transparent. Here are the four elements that determine your one-price solution to modeling. Adjust the inputs as needed to fit your budget.
Number of Variables (Fields)
The number of variables are heavily weighted as each variable is explored for quality, outliers, and correlation against other variables.
Number of Records
The number of records are less weighted as the incremental denomination of records must be materially larger before impacting the speed of modeling.
Number of Targets (Models or Business Objectives)
The number of targets, or the number of models is heavily weighted as each model requires full exploration, validation, and testing.
Number of Datasets to Merge
The number of datasets provided is heavily weighted because of the data wrangling required to merge the datasets and assess the how the data merge impacts the predictability of the model.