Automated Decisioning Software
DecisionSmart is an enterprise wide decisioning and rules application that automates business rules management and decision making.
DecisionSmart allows business users to capture and apply business rules, matrices, scorecards, decision trees, terms of business tables and decision flows across the entire customer lifecycle.
It also offers business rule management capability on an account or customer level across the entire customer lifecycle.
Profitable decisions across the customer lifecycle
Acquisitions
- Batch scoring the target population: risk, response, profitability, lapse/cancellation risk.
- Segmentation of leads: never contacted, previously declined, previously excluded, thin/thick file.
- Run champion/challenger campaigns to determine best channel.
- Allocate campaign codes, channels based on segments and scores.
- Support complex models for example agent-matching for outbound call campaigns across the product set.
Originations
- Scoring - application, fraud, behavioural, etc. - can all be executed through DecisionSmart’s scoring metaphor..
- Scores - for example bureau and application scores - can be combined either in a matrix or decision tree.
- Manage policy rules through the DecisionSmart logical expression builder and policy rule groups.
- Calculations - for example affordability and limit calculations, insurance premium values or mobile contract tariffs - can be conducted through calculated workfields.
- Manage champion challenger strategies with a random number generator decision trees..
Account management: credit limit management
Normally a batch process is set up feeding existing customer information into DecisionSmart – and thereafter through a combination of scorecards, matrices, decision trees and outcome table. A final % limit increase offer is then determined.
The final limit offer amount can be calculated based on limit, balance, percentage increase, maximum limit, minimum incremental increase, etc.
Account management: authorisations
DecisionSmart uses the scoring engine, decision trees, authorisation table and workfield calculations to determine the “fit” and “cushion” percentages. These are fed back to the point of sale to approve or decline the transaction.
Customer engagement
DecisionSmart is enabled with the following key features: scoring, segmenting, clustering and action-table.
If transaction data is used, more advanced engagements utilising “next-best-product” are also available.
Recoveries
DecisionSmart can calculate, on an ad-hoc basis, fair value of a particular segment of a recovery book. The software utilises: scoring, segmentation, percentage allocation table, calculation of account valuation based on balance and percentage allocated – using calculated workfields.
Provisions
DecisionSmart can calculate, on a monthly basis, the expected losses across each book per account by running the following models: Probability of Default (PD), Loss Given Default (LGD), Credit-Conversion Factors (CCF) and Exposure at Default (EAD).
If Markov chains are used, then through decision trees these values can be applied to each account within a specific segment within a book. Furthermore the expected losses (EL) can be calculated incorporating any macro-economic adjustments, if required.
Collections
DecisionSmart can be used to:
Daily segment the delinquent population and then prescribe appropriate actions.
Deploy right-time-to-call models enabling call-centres to improve their right-person-connect models.
Deploy an external-debt-collector placement strategy.
Calculate settlement amounts where an optimised settlement strategy has been built.
DecisionSmart Versatility
Scorecard Management
DecisionSmart manages all types of scorecards including application-, behavioural-, pre-delinquency-, collection- and balance-build scorecards.
Scoring Engine
The heart of the technology – the scoring engine – processes data, calculates the score and returns results. It is able to host multiple scorecards for different products or classifications.
Administration
DecisionSmart defines and configures all elements required for the scorecard to function. It enables users to set standard- and derived characteristics and manage properties and scorecard ranges for each scorecard.
Real-time Decision Making
Application processing systems often require an application score to be calculated in real-time. This is typically done through a web service that invokes the decision engine for these ad hoc scoring requests.
Batch Scoring
Scores can be calculated in batch mode by receiving or fetching files received from the host system, typically used for behaviour scorecards. This can be scheduled to run automatically during overnight batch processing.
Key Product Features
- Rapidly deploy and manage new additive scorecards;
- Run simple to complex strategies using easy-to-build decision trees;
- Build and deploy simple or complex mathematical calculations, generate random numbers, build logical statements, calculate affordability, installment values in an instant;
- Different rule metaphors are supported to enable complex decisions to be deployed across multiple brands / product sets;
- Create a variety of customer groups to be used in marketing strategies using clustering;
- Combine two scores in a matrix to create a risk-grade;
- Fully configurable terms-of-business/decision tables to manage the decisions you wish to make;
- Program a sequence of complex decisions with rule flow;
- Single / Batch mode;
- Ability to integrate into a machine learning environment;
- Champion/challenger;
- Supports mathematical optimisation;
- Full audit trail of new decision metaphors;
- Configurable reporting through Sequel Server Reporting Studio.
- Ability to run with pre-configured scores/strategies; and
- Ability to call other decision services (e.g. SQL, R, Python) via stored procedures.
DecisionSmart Installations
A few of the many companies using DecisionSmart to manage and calculate their scoring.
