Cognilytics Retail practitioners utilize the Cognilytics AVM™ model to direct the Big Data Tamers and Decision Scientists to deliver customized innovative yet monetize-able solutions

Constituent
Focus

Customer Lifecycle Analytics

CUSTOMERS

SHAREHOLDERS

PARTNERS

Product Design	Distribution & Servicing	Risk Optimization
Consumer & Commercial Needs Analysis Universe validation Probabilistic Determination PD/LGD: Fat v. Thin Events Technical Pricing Analysis & Recommendation	Channel performance analysis Marketing campaign designs & ROI Analysis Claims Servicing Forecasting & Optimization Fraud Detection and Cost Optimization	Reinsurance Trade-off analysis Yield Management Reserve Adequacy Hedge and ALM Analysis

Cognilytics Insurance practitioners utilize the Cognilytics AVM™ model to direct the Big Data Tamers and Decision Scientists to deliver customized innovative yet monetize-able solutions

Customers	What is the lifetime value of my customers? What is the right customer segments, how does my segmentation impact revenue? Are products sufficiently customized for differing lifecycle events of each segment? What is the price elasticity by customers? What is the best product or service to sell to my current customer? What type of programs are most likely to engender loyalty among customers?
Shareholders	How well has the underlying event risk been quantified? How are we evaluating Fat Tail events? Are we adequately reserved for the risk in our portfolios? Are we appropriately compensated from an ROEC/ROA for the level of risk? Are there enhanced ROI opportunities via ALM, Hedge or Reinsurance strategies? Are we complaint from a regulatory stand point?
Servicing/Employee & Partners	Who are my top performing reps and producers? What the most suitable channels for each customer segment? What is my cost of acquisition per customer? How can it be reduced? How can the claims process be optimized? How can Fraud be detected and controlled?