Scorecard streamlines the entire scorecard development process, allowing analysts to quickly transform data into accurate, ready-to-use models. Designed with an intuitive, user-friendly interface, it guides users seamlessly through every stage — no advanced technical expertise required. Automated analytics accelerate model creation and improve efficiency, while flexible integration capabilities enable real-time or cyclical customer assessment across existing systems.
Scorecard is add-on to Statistica and uses Statistica as its computational environment, providing access to a comprehensive range of analytical methods.
User benefits
- Comprehensive support for scorecard development
- Full control over scoring models and rapid response to market changes
- Tailored scoring models for different customer segments and products
- High standards of security and reliability
- End-to-end analytics workflows — from raw data to recommendations
- Faster insights through automation
- Accurate and reliable results
- Easy to use and highly flexible
Key features
Credit scoring
- Efficient assessment of customer credit risk
- Quick approval or rejection of loan applications based on objective scoring criteria
- Ensure a high level of security
- Reduce the number of unpaid debts
The Scorecard is commonly applied in the financial sector, however it is also efficient in any other type of business, where we need to decide whether to grant a merchant credit on a regular basis.
Debt collection (recovery) optimization
- Identification of debts likely to become bad debts
- Identification of bad debts that can still be recovered profitably
- Identification of self-cured debts that do not require additional action
- Identification of the most effective collection approach for each debtor
- Identification of debts highly unlikely to be recovered and suitable for sale
Fraud detection
- Identify transactions, claims, and activities with a high probability of fraud
- Detect suspicious behavior and potential abuse early
- Reduce financial losses through proactive fraud prevention
- Enable faster response to high-risk events
- Build customer trust with strong security standards
Marketing scoring
- Prevent customer churn
- Enable effective up-selling opportunities
- Support targeted cross-selling strategies
The Scorecard is an effective tool for identifying groups of customers (or other entities) that require specific actions, such as targeted product offers.
Medical scoring
- Patient health status modeling: sick vs. healthy
- Prediction of the risk of post-procedure complications
- Analysis and prediction of selected patient medical characteristics
KEY FEATURES
- Exclude unimportant or redundant variables
- Create a variable ranking of overall predictive powerj
- Identify redundancy among variablesi
- Search rules enabling the identification of high-risk subgroups
- Use advanced data mining algorithm to identify rules
- Shape the awareness of the impact of each variable on risk
- Manage “dirty data” – outliers, missing data, and nonlinearities
- Quickly develop in-house scorecards
- Use advanced predictive analytics to build the model
- Manage rejected applications
- Check the predictive power of the model
- Find the optimal pricing strategy
- Examine population stability
MODULES
- Feature Selection
- Interactions and Rules
- Attribute Building
- Scorecard Preparation
- Survival
- Rejected Inferences
- Model Evaluation
- Cut-off Point Selection
- Score Cases
- Calibration Tests
- Population Stability
- Vintage Analysis
- Migration Matrices
All modules run on top of Statistica as their computational environment.
How the module works
Interested?
Scorecard: We will prepare a quote for the module
The module runs on top of Statistica as its computational environment. Tell us which licence you have — we send the quote within one business day.