Predictive Modeling

Although predictive analytics is technical at its core, it must be thought of as a business activity in order to generate applications in support of customer business decisions. This requires a wholly collaborative process driven by business needs and marketing expertise. Ensuring actionable customer predictions within a company's operational framework, and to have the greatest impact within the company's business model. In other words, customer predictions to support business actions, which in turn generate business value and results. Visual Intelligence uses predictive analytics technologies to solve many business problems, offering solutions such as:

Increased sales and acquisition rates by predicting cross-sell opportunities

Targeted interventions for health services by predicting propensity to use services, future costs

Influencing behavioral modifications by detecting treatment non-complaint patients

Increased customer retention and customer return by predicting defection

Personalized web and email content by predicting online response

Increased direct marketing response with response modeling

Decreased campaign spending by predicting non-responders

Marketing Segmentation efforts based on customer taste and preferences predictions in reference to individual propensity to purchase a product or a given service.

Prediction of consumer response, (such as sales. leads, and attendance), relative to marketing efforts

Portfolio optimization applications for the selection of Marketing campaigns and programs subject to business constraints

However, making predictive analytics clear, simple, intuitive, and even entertaining is difficult task that Visual Intelligence has mastered by using integrated technologies from a cross section of disciplines such as Economics, Statistics, Operations Research, Decision sciences, and Information Technology. This cross section of disciplines is generally summarized in the form of a mathematical expression made available to the user in the form of a template, and as part of different interactive graphical devices to facilitate the extraction of meaningful information, to and by the business user, and delivering results effectively as much as efficiently. Therefore, maximizing the use of valuable resources and information in support of business decisions and eventually returns on given objectives and/or investments. These templates are complex in design and engineering, but simple, and user friendly such that intuitive use and results can be drawn from user specific data sets.