Solutions

Pre-Built Models for Common Applications

There are a number of applications for which data mining and predictive modeling is suited and has been proven to be beneficial and consistent across industries. The insights gained from these models have enabled our customers to make better, quicker, and more profitable decisions.

CRS has built standardized models for these common applications thereby focusing the work effort on the underlying business issue versus the complexity of developing predictive or exploratory models. The majority of the work has already been done.

Our pre-built solutions (available through our retained expert service– see the Service Offerings section for more details) are available for select business functions and pre-defined data sets.

What is needed to take Advantage of these Solutions?

We simply need to know what application needs fixing (matched to one of our pre-built solutions), what database needs exploring, and how to gain access to the appropriate data. Under the direction of our senior consultant, the models take care of the rest. Once data is in place and understood, what might typically be a months-long modeling project can be reduced to a few days.

The models can be used to analyze both structured and unstructured data enabling you to have a better view of your business transactions, customers, vendors, operations, employees, etc.

Range of Possible Solutions

Some of the uses of our standardized models include:

  • Gain greater insight into customer behavior and needs by modeling survey data and web dialogue
  • Predict customer future value and use for targeting decisions
  • Predict best geographies for mass targeting (e.g., through mass media or newspapers)
  • Optimize online banner ad placements
  • Predict Telecommunications churn
  • Forecast catalog sales
  • Predict loan defaulters
  • Predict customer time to churn
  • Credit scoring
  • Improve fundraising for nonprofits
  • Leads scoring
  • Sales forecasting
  • Response modeling for direct marketing
  • Calculate risk of fraudulent returns

Models Highlighted in this Section

The pages contained in this section describe in detail a number of other applications for which we have built standardized models (built from previous customer experiences) with set data elements as input (different elements are possible and different data nomenclature is workable) .

The models showcased have been organized under three headings:

Each page identifies the objective, explains how the analysis is conducted, and offers some of the benefits realized by the organizations who have become “Predictive Enterprises.”