Are you interested in looking at your internal data and determining a course of action that provides beneficial results from analysis of your date?
We can help you in the following ways:
- Determine unique market segments for your company/product
- Identify the attributes of high-value prospects
- Determine which promotional activities have the greatest impact
- Identify new prospects.
We use sophisticated techniques, such as multiple regression, logistics regression, customer segmentation, time series analysis and sequence analysis, among other valuable analytic methods.
Predictive Modeling
Predictive modeling helps companies learn from their past data and base future actions on acquired knowledge. Predictive modeling can be used in a variety of contexts:
Marketing campaigns
One of the greatest challenges facing companies is acquiring new clients while maintaining and developing their existing client base. Predictive models respond to the following challenges:
- Client acquisition
- Client loyalty and retention
- Cross-selling
- Up-selling
Risk Analysis
One example of risk analysis is in the banking sector, where it is critical to calculate the probability that a client may default on a loan repayment prior to approving that client’s credit application.
Health care
Predictive analytics can be effectively used to recommend the most appropriate health interventions for high-risk patients.