Causality

UNDERSTAND WHAT DRIVES BEHAVIOR
AND DECISION-MAKING USING PREDICTIVE ANALYTICS

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Our Approach

Dealing with bias and causality requires a practical, proven mathematical approach. Our causality engine simplifies the process, reduces bias and provides strategic and tactical actions that can be taken in response to change. It identifies relationships in the variables and builds a customized model. That model then refines, trains and corrects itself, providing true causal factors.

The engine discovers which variables are the best predictive drivers for the user-defined business objective from thousands of variables. In so doing, it powerfully discovers combination effects where factors that are weak predictors individually are strongly predictive in combination. This system automatically provides multiple recommendations to achieve the targeted goal.

Recent Customer Engagements

IMPROVE CREDIT CARD COLLECTIONS

A leading provider of co-branded credit cards needed help better understanding the factors involved in debt collection to reduce their high default risk and provide insights on how to improve their collections and reduce their $900 million annual write-offs. 

  • This client is expected to save $7 million per year by optimizing agent actions in their Will Pay segment.
  • We identified the 10-20% of account holders who are most likely to pay their bills if given a bit more time. 
  • Our solution generated data segmentation, drivers and recommendations automatically.

IDENTIFY CAUSAL BREAST CANCER GENES

A genetic diagnostic company wanted to improve their diagnostic testing and apply the most effective treatment regimen. Genetic information and historical data that followed 300 subjects over 10 years was analyzed. 

  • The solution increased predictive accuracy by 22% – from 62% to 81%.
  • It analyzed 25K genes and identified causal gene sequences on 3-5 genes, rather than 70. 
  • Most importantly, it provided optimal breast cancer treatment plans for patients.

REDUCE CHURN AND BETTER UNDERSTAND YOUR CUSTOMERS

Large U.S.-based food and beverage company wanted help understanding and reducing churn worldwide. This was accomplished by identifying the drivers of churn and the data patterns they could alter to affect change.

  • The client now understands the top customers to watch in particular geographical areas.
  • They’ve increased their total number of customers by improving retention.

SAVE TIME, MONEY AND DECREASE PORTFOLIO RISK

An insurance company needed to reduce time and costs and improve portfolio risk. 

  • They identified the 9 variables with the best stability and relevance to predict outcomes. 
  • The solution significantly improved the speed and cost of policy issuance and reduced the costs of further tests.
  • It also maximized the number of “preferred” cases they accepted for their agents and customers.

IMPROVE RESOLUTION TIME AND REDUCE COSTS

A telecommunications company needed to improve resolution time and reduce costs associated with their Network Operations Center.

  • They identified causal patterns and recommended solutions for each type of incident.
  • The solution suggested the top 3 results for any give problem. 
  • The result is improved productivity and a reduction in both redundancy and knowledge disparity.

Recent Customer Engagements

IMPROVE CREDIT CARD COLLECTIONS

A leading provider of co-branded credit cards needed help better understanding the factors involved in debt collection to reduce their high default risk and provide insights on how to improve their collections and reduce their $900 million annual write-offs. 

  • This client is expected to save $7 million per year by optimizing agent actions in their Will Pay segment.
  • We identified the 10-20% of account holders who are most likely to pay their bills if given a bit more time. 
  • Our solution generated data segmentation, drivers and recommendations automatically.

Panel Body test

A leading provider of co-branded credit cards needed help better understanding the factors involved in debt collection to reduce their high default risk and provide insights on how to improve their collections and reduce their $900 million annual write-offs. 

  • This client is expected to save $7 million per year by optimizing agent actions in their Will Pay segment.
  • We identified the 10-20% of account holders who are most likely to pay their bills if given a bit more time. 
  • Our solution generated data segmentation, drivers and recommendations automatically.

IDENTIFY CAUSAL BREAST CANCER GENES

A genetic diagnostic company wanted to improve their diagnostic testing and apply the most effective treatment regimen. Genetic information and historical data that followed 300 subjects over 10 years was analyzed. 

  • The solution increased predictive accuracy by 22% – from 62% to 81%.
  • It analyzed 25K genes and identified causal gene sequences on 3-5 genes, rather than 70. 
  • Most importantly, it provided optimal breast cancer treatment plans for patients.

Panel Body test

A genetic diagnostic company wanted to improve their diagnostic testing and apply the most effective treatment regimen. Genetic information and historical data that followed 300 subjects over 10 years was analyzed. 

  • The solution increased predictive accuracy by 22% – from 62% to 81%.
  • It analyzed 25K genes and identified causal gene sequences on 3-5 genes, rather than 70. 
  • Most importantly, it provided optimal breast cancer treatment plans for patients.

REDUCE CHURN AND BETTER UNDERSTAND YOUR CUSTOMERS

Large U.S.-based food and beverage company wanted help understanding and reducing churn worldwide. This was accomplished by identifying the drivers of churn and the data patterns they could alter to affect change.

  • The client now understands the top customers to watch in particular geographical areas.
  • They’ve increased their total number of customers by improving retention.

Panel Body test

Large U.S.-based food and beverage company wanted help understanding and reducing churn worldwide. This was accomplished by identifying the drivers of churn and the data patterns they could alter to affect change.

  • The client now understands the top customers to watch in particular geographical areas.
  • They’ve increased their total number of customers by improving retention.

SAVE TIME, MONEY AND DECREASE PORTFOLIO RISK

An insurance company needed to reduce time and costs and improve portfolio risk. 

  • They identified the 9 variables with the best stability and relevance to predict outcomes. 
  • The solution significantly improved the speed and cost of policy issuance and reduced the costs of further tests.
  • It also maximized the number of “preferred” cases they accepted for their agents and customers.

Panel Body test

An insurance company needed to reduce time and costs and improve portfolio risk. 

  • They identified the 9 variables with the best stability and relevance to predict outcomes. 
  • The solution significantly improved the speed and cost of policy issuance and reduced the costs of further tests.
  • It also maximized the number of “preferred” cases they accepted for their agents and customers.

IMPROVE RESOLUTION TIME AND REDUCE COSTS

A telecommunications company needed to improve resolution time and reduce costs associated with their Network Operations Center.

  • They identified causal patterns and recommended solutions for each type of incident.
  • The solution suggested the top 3 results for any give problem. 
  • The result is improved productivity and a reduction in both redundancy and knowledge disparity.

Panel Body test

A telecommunications company needed to improve resolution time and reduce costs associated with their Network Operations Center.

  • They identified causal patterns and recommended solutions for each type of incident.
  • The solution suggested the top 3 results for any give problem. 
  • The result is improved productivity and a reduction in both redundancy and knowledge disparity.

Take the first step

Contact us for more information