EIU Canback provides predictive analytic services to many of the world’s leading companies. Our work often leverages C-GIDD, but there are other standalone efforts.
Canback’s analytic services focus on medium- to long-term predictive models for strategic, financial, and market development purposes. We neither do short-term demand planning supply chain or other operational/tactical models, nor data mining (which we are skeptical of when models are made to fit the data).
Further, our predictive models typically incorporate several information sources and use them in an integrated fashion. An example of this is our use of the Golder-Tellis model for demand prediction which uses household income, price, market presence (distribution availability), consumer confidence, and marketing spend as independent variables. Each of these are pulled from different data sources.
In sum, for executives who want to create medium- to long-term views of market outlook and competitive dynamics, Canback usually has a solution.
The following are examples of analytic services projects we have recently delivered:
We increasingly deliver our solutions through customized web portals. These portals allow us to update algorithms and datasets and ensure that all users have the same data.
Our less preferred way to deliver the results is through Excel spreadsheets. We prefer Excel over other software packages because our users are familiar with it. We do not use SAS or similar packages because they require specialist user knowledge.