Scorecard Analytics

Decision Intellect develop models that can automate, improve and reduce the costs of decision making and customer management.

Application Scorecards

Used for making decisions regarding which customers the organisation accepts or declines, or for deciding what conditions to apply to the accepted applicant. The scorecard allows the organisation to;

  • automate the decision making part of the process
  • objectify the decision making
  • reduce the cost of signing up customers
  • Utilise data collected at the point that an applicant applies for credit. This may be personal detail, credit bureau files, and/or customer verification data.

    Behavioral Scorecards

    Designed to be used when making ongoing decisions around customer management. This might involve; decisions around the appropriateness of collections activity, identifying applicants for targeting during marketing campaigns, and the making of "on the spot" authorization decisions.

    Utilize payment history data collected during the time the customer has been with the organization..

    Fraud Models

    Identify those customers that are able to be identified as highly likely to be fraudulent.

    Utilization Scorecards

    Built to identify which applicants are most likely to use a high amount of credit. If the credit risk of these customers is within acceptable limits, they may be the most profitable customers for the organization.

    Can be built to apply either at the point of application or during account review periods.

    Churn and Profitability

    Identify which of your applicants are most likely to remain on the books, those which will move on quickly and undermine the cost of acquisition, and those which are likely to be the most profitable.

    Scorecard Monitoring

    The DI analytics team provides insight and decision-making intelligence to external clients through the development of data-driven models offering effective credit life-cycle management. The team also develops the analytical models for the D&B business across the Consumer and Commercial credit bureaux.

    Scorecard Monitoring Services

    A monitoring exercise is undertaken when an organisation has implemented a scoring solution and wants to assess its continued validity. They are completed on a regular basis with the purpose of the exercise being to determine whether the scorecard is providing an effective tool for making automated decisions for that organisation.

    Data Validations

    Through empirical analysis, the DI analytics team is able to conduct retrospective validations of D&B data and scoring products to demonstrate its unique value for the credit assessment of customers. We are able to retrospectively assess the benefit of D&B's consumer and commercial data and scores on a customer's portfolio, recommending appropriate single or multi-bureau strategies.

    Validation Exercise

    A validation exercise is undertaken when an organization is considering implementing a scoring solution. The purpose of the validation is to determine whether the scorecard would be an effective tool to use for assessing the risk of applicant and making automated decisions for the organization. This is usually done when an organization is purchasing a generic (off the shelf scorecard), or intending to utilize an existing scorecard on another portfolio.

    Monitoring Exercise

    A monitoring exercise is undertaken when an organization has implemented a scoring solution. They are completed on a regular (often quarterly) basis with the purpose of the exercise being to determine whether the scorecard is providing an effective tool for making automated decisions for that organization.

    Multi-bureau functionality

    Decision Intellects credit decisioning product 'Inteflow', is the only credit decisioning tool in Australia that will deliver automated Multi-bureau functionality to the market. Inteflow can be configured to access products from all Australian and New Zealand based credit bureau's through automated bureau calls which allow fast access to credit bureau products.

    There are significant benefits to be gained by some organisations accessing bureau data from multiple sources. This can be achieved by various multi-bureau strategy options such as sending applications to a second bureau for:

  • All applications
  • Credit Risk Refers
  • Specific market segments
  • Specific customer profiles
  • Clean at one bureau
  • Identification verification failures
  • Bureau fail over
  • Decisioning in a multi-bureau environment needs to account for the collection of data from more than one source and include strategies to use the data effectively. When a multi-bureau strategy is relevant, consideration needs to be given to

  • Software capabilities
  • Scorecard development
  • Policy Rules definitions
  • Decision making strategies
  • Analytics and Monitoring
  • Decision Intellect has been working in a Multi-bureau environment since its inception and can help organisations access the data and implement and appropriate strategies using a full suite of all available bureau products within Australia and New Zealand.

    Credit Bureau Scores

    The team is also responsible for the development of D&B's value-added bureau scoring products across both the Consumer and Commercial credit bureaux. With many years of experience in bureau scoring, DI is not only able to develop predictive models but also provide analytical consulting expertise on how best to utilise bureau scores within your credit decisioning environment. With the transition to Comprehensive Reporting for consumers currently underway in Australia and New Zealand, the DI analytics team can demonstrate the value to be gained from this important new source of credit information.