Account Level Profit


Profitability management system for consumer lender, commercial lending and card portfolios


CX-Analytics' Account Level Profit (CX-ALP) is a powerful software platform that empowers business managers with active intelligence for profitability management and optimization of financial services portfolios. The core CX-ALP data engine analyzes hundreds of account and transaction level attributes and creates a precise view of performance for each account, each month. CX-ALP delivers true business intelligence by going beyond simple output measurement to a comprehensive view of the factors that drive profit at the account level.


Features & Benefits

Optimized Performance
Eliminate unprofitable marketing activities, take action on unproftiable accounts and assign risk costs on dormant and nondelinquent accounts to achieve optimized performance.



Take Action on Unprofitable Accounts
CX-ALP identifies and analyzes individual accounts with negative marginal contribution to profit. Build targeted portfoio strategies based on specific data for a group of customers or accounts.

Standardized Reporting
CX-Analytics consults to agree on standard business-level definitions for all key metrics used. In addition, multiple systems are combined into a single, standardized analytic repository resulting in a homogeneous set of management information.


Develop Long Term Business Strategies
With accurate allocation of profit components to account level data, CX-ALP supports the optmization of long-term business strategies and focuses on true profitability instead of functional targets.

Explore Data In-Memory
The CX-ALP engine maintais the associations in the data automatically and powerful in-memory analytics allow users to calculate on the fly. Make new discoveries and uncover insights by interacting with dynamic dashboards and analytics.


Compliant and Reconciled Data
Every field within CX-ALP is reconciled to the financial general ledger. The product is also consistent with the corresponding product billing and transaction systems.

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