Comprehensive solution for model inventory management, model validation, documentation, testing, and monitoring. Includes automated workflows, governance frameworks, audit trails, and regulatory reporting capabilities to ensure models perform as expected and comply with regulations.
Systems for developing, validating, and monitoring risk models used throughout the bank.
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Centralized Model Inventory A comprehensive, searchable repository of all models with classification and metadata. |
SAS Model Risk Management provides a centralized inventory with searchable model classification and metadata as described in marketing documentation. | |
Version Control Ability to track and manage different versions of a model through its lifecycle. |
Product documentation states that SAS maintains model version history and supports version control for lifecycle. | |
Model Lineage Tracking Tracks model evolution, ownership, and historical changes. |
Model lineage tracking and ownership are core to audit trail and governance modules in SAS Model Risk Management. | |
Automated Model Registration Allows fast and standardized addition of new models to the system. |
Automated workflows include standardized model registration capabilities as indicated in feature matrix and workflow automation description. | |
Model Documentation Repository Centralized documentation storage, including methodology, usage guides, and policies. |
Marketing and white papers reference centralized documentation and repository for all model-related artifacts. | |
Expiry and Decommissioning Alerts Automated notifications for end-of-life, renewal, or mandatory review. |
Automated expiration and review alerts are standard in the workflow/governance modules. | |
Bulk Model Import/Export Ability to upload or download multiple models and related data in standard formats. |
Bulk model and metadata import/export (Excel, CSV, etc.) is available per product documentation. | |
User Access Control Configurable permissions to manage and restrict model editing and viewing. |
Role-based permissions and access control for model editing and viewing are documented in user guides. | |
Model Dependency Mapping Visual or tabular mapping of interdependencies among models. |
SAS provides visual mapping and reporting of model dependencies as part of risk aggregation and inventory modules. | |
Real-time Model Status Dashboard Visualization of model states (e.g., development, production, retired) in real-time. |
Dashboards are available and update in real time to display model status and inventory health. |
Automated Model Validation Workflow Pre-defined workflows for validation processes including independent reviews and sign-offs. |
Automated model validation workflows with pre-defined review, sign-off and independence checks are core capabilities. | |
Validation Testing Suite Integration In-built or integrable tools for running backtesting, benchmarking, and stress testing. |
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Audit Trail Immutable records of all actions, decisions, and reviews performed on each model. |
Immutable, system-generated audit trails record all actions, according to product specs. | |
Regulatory Compliance Checks Automated checks for alignment with relevant financial regulations (e.g., SR 11-7, TRIM). |
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Segregation of Duties Ensures different users/teams manage model ownership, development, and validation. |
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Approval Workflow Customization Configurable workflows for model sign-off at multiple stages or committees. |
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Validation Scheduling and Calendars Tools for setting up periodic reviews and validation events. |
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Exception Reporting Automatic reporting of validation findings, exceptions, and breaches. |
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Policy Repository and Enforcement Central store for governance policies and enforcement of policy adherence. |
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Validator Independence Checks Controls to ensure validators do not have conflicts of interest with development teams. |
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Performance Metric Calculation Automated calculation of accuracy, bias, stability, and other model KPIs. |
Automated performance and risk metric calculation (accuracy, bias, stability, etc.) detailed in technical architecture. | |
Drift Detection Automated identification of data or concept drift impacting model performance. |
Automated drift detection and ongoing performance analysis stated in monitoring and validation modules. | |
Threshold Alerts Real-time alerts when performance metrics cross predefined thresholds. |
Threshold alerting for KPIs is highlighted as a feature of dashboards and monitoring capability. | |
Customizable Monitoring Frequency Ability to set different monitoring intervals (e.g., daily, weekly, monthly) for each model. |
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Monitoring Dashboard Central dashboard visualizing ongoing performance indicators for all models. |
Centralized and role-based customizable monitoring dashboards are a key part of the product UI. | |
Data Quality Checks Automated validation of input data quality and suitability for each model. |
Data quality checking and monitoring of model input data is part of ongoing model monitoring features. | |
Outlier Detection Automatic identification and reporting of abnormal scoring behaviour. |
Outlier detection is embedded in performance monitoring suite for automated alerts. | |
Usage Logging Detailed logging of each time a model is used for decision-making. |
Usage logging is part of the audit and performance tracking modules; every model use is logged. | |
Performance Heatmaps Visual heatmaps of performance by product, segment, or other key attributes. |
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Historical Performance Archive Secure storage and access to historical performance data for trend analysis. |
Historical performance data storage and access for trend analysis is mentioned as a standard feature. |
Model Risk Scoring Assigns quantitative risk scores based on model complexity, impact, and criticality. |
Model risk scoring with quantitative rating based on complexity, impact and regulatory tier is built-in. | |
Exposure Calculation Engine Automates calculation of exposures across portfolios using each model. |
Exposure calculation by model and across portfolios is included in risk quantification modules. | |
Capital Impact Estimation Estimates impact of model error on regulatory and economic capital requirements. |
Capital impact estimation, including regulatory capital scenario analysis, is supported per datasheets. | |
Risk Ranking Dashboard Visualizes and ranks model risk across the inventory. |
Risk ranking dashboards and scenario risk visualizations are highlighted in product interface guides. | |
Scenario Analysis Tools Allows analysis of model risk under various scenarios and assumptions. |
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Customizable Risk Assessment Frameworks Enables design and application of risk assessment methodologies specific to institution needs. |
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Aggregated Risk Reporting Provides a top-down view on aggregate model risk across the enterprise. |
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Materiality Thresholds Configurable criteria for the definition of high-, medium-, and low-risk models. |
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Loss Event Tracking Logs realized losses attributable to model errors/failures. |
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Model Risk Appetite Integration Allows mapping of model risk exposure to board-approved risk appetite statements. |
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Data Source Integration Connects with internal and external data sources/databases for model inputs. |
SAS Model Risk Management integrates with external and internal data sources, including databases and data lakes. | |
ETL Pipeline Tools Extract, transform, and load (ETL) processes for ingesting and cleaning modeling data. |
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Data Lineage Tracking Tracks the origin and transformation of all data used in models. |
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Automated Data Quality Reporting Produces regular reports on data accuracy and completeness. |
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Secure Data Storage Ensures compliance-aligned, encrypted data storage. |
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Anonymization/Pseudonymization Tools for protecting sensitive information in data feeds. |
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Data Update Frequency The frequency with which internal databases are updated with new data for modeling. |
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Batch and Real-Time Processing Supports both scheduled batch and instant real-time data processing. |
Batch and real-time (streaming) data processing is supported as part of model monitoring and ETL pipelines. | |
Data Schema Versioning Manages changes to data structures and fields over time. |
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Data Access Logs Maintains an audit log of every dataset access or change. |
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Full Audit Trails End-to-end tracking of user actions, approvals, and model changes. |
Full audit trails for all model-related actions and data are generated automatically and cannot be deleted. | |
Regulatory Policy Mapping Maps system features and controls to external standards/regulations (e.g. ECB, Basel). |
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Reporting Templates Pre-defined reports for internal/external audits and regulatory submissions. |
Pre-defined and customizable reporting templates are provided for both internal and regulatory use. | |
Audit Log Export Enables exporting detailed logs for external review. |
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Role-based Access Management Configurable access restrictions to ensure only authorized personnel can perform sensitive actions. |
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Change Approval Workflows Mandates approval before modifications or deployments. |
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Model Risk Committee Integration Records and supports committee decisions, minutes, and reporting. |
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Data Retention Schedules Enforces data retention and deletion policies to comply with legal obligations. |
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Regulatory Alert Management Alerts users of regulatory deadlines or new requirements. |
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External Auditor Access Provides secure temporary access for external auditors. |
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Custom Report Builder Drag-and-drop or code-based tools for custom analytics/report creation. |
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Scheduled Report Delivery Automated scheduling and distribution of reports to stakeholders. |
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KPI Dashboards Visual dashboards summarizing key model risk and validation metrics. |
KPI summary dashboards are a standard out-of-the-box feature. | |
Ad Hoc Query Tools Allows on-demand, user-defined queries against model and risk data. |
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Interactive Data Visualization Interactive charts, tables, and graphics for deeper insights. |
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Export Formats Supports exporting reports in multiple formats (PDF, CSV, XLSX, etc). |
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Drill-down Analytics Allows users to explore underlying data for key metrics and charts. |
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User-specific Dashboards Personalized dashboards based on user roles and interests. |
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APIs for Data Access Programmatic access for integration with other analytics environments. |
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Historical Trend Analysis Visualization and analysis of metric trends over selected periods. |
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Intuitive User Interface Easy-to-navigate interface for both technical and non-technical users. |
SAS prioritizes user experience and intuitive interface design as a key value proposition. | |
Multi-language Support System available in multiple languages to support global teams. |
Multi-language support is documented as available for global rollouts. | |
Mobile Access Model management and monitoring available on mobile devices. |
Mobile-responsive dashboards and application access are provided. | |
Role-based Dashboard Customization Personalized dashboard views based on user roles and preferences. |
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Bulk Actions Support Ability to carry out bulk updates or actions for efficiency. |
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Accessibility Compliance Adherence to standards like WCAG for users with disabilities. |
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In-app Help and Tooltips Embedded help features and contextual tips throughout the system. |
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Onboarding Tutorials Guided steps or training modules for new users. |
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User Feedback Capture Interfaces for users to submit feedback or improvement suggestions. |
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Usage Analytics Collects and visualizes platform usage metrics for optimization. |
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End-to-End Encryption Encryption of data at rest and in transit. |
End-to-end encryption for data at rest and in transit is required for regulated environments and is present in SAS’s offering. | |
Multi-factor Authentication Enhanced login security via additional authentication factors. |
Multi-factor authentication is available for authorized user access, confirmed in security documentation. | |
Granular Access Permissions Detailed layer-based access configuration for all features/data. |
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Single Sign-On (SSO) Integration Integration with enterprise identity providers for unified access control. |
Single sign-on (SSO) integration with enterprise identity providers (LDAP, SAML) is supported by SAS. | |
Anomaly Detection in System Access Automatic detection of unusual or suspicious user activity. |
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Segregation of Sensitive Data Strict isolation and access limits for sensitive or confidential data. |
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Comprehensive Logging Persistent, tamper-proof logs of all access and activity. |
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Automated Permission Reviews Scheduled reminders and tools for regular privilege reviews. |
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Compliance with Data Privacy Laws Assurance of adherence to GDPR, CCPA, and other applicable data privacy standards. |
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Security Patch Management Regular and prompt updates/patching for all components. |
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Cloud Deployment Support Ability to run natively on major public/private cloud infrastructures. |
SAS Model Risk Management can be deployed on public/private cloud infrastructure; cloud-native options detailed on product page. | |
On-premises Deployment Option Ability to deploy on the bank's internal servers and data centers. |
On-premises installations are available and used by regulated banking clients. | |
Hybrid Deployment Flexibility Mix of on-premises and cloud deployments for disaster recovery/business continuity. |
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Horizontal Scalability System can scale to manage growing model inventories and data volumes. |
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API Integration Support Robust REST/SOAP APIs for integrating with other enterprise systems. |
Robust API integration documented for linking with other enterprise/data systems. | |
Automated Backups Scheduled, automated backups for disaster recovery options. |
Automated backup and disaster recovery tools are part of the deployment architecture. | |
Disaster Recovery Tools Built-in support for rapid data restoration in case of outage. |
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Containerization Support Supports Docker/Kubernetes for flexible deployment and scaling. |
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Multi-tenant Capabilities Supports separation of data and workflows across different organizational units. |
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Deployment Time Time required to deploy and configure the solution for production use. |
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Centralized Model Inventory Maintains a complete, up-to-date list of all models in use across the institution. |
Maintaining a complete, up-to-date list of all models is a major feature highlighted in SAS's model inventory function. | |
Automated Model Registration New models are automatically registered in the inventory upon deployment. |
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Version Control Tracks different versions of each model and maintains a full version history. |
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Model Metadata Management Stores and manages extensive metadata for each model (purpose, owner, inputs, outputs, etc.). |
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Model Documentation Repository Centralized location for storing model documentation, including development notes, validation reports, and audit trails. |
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Model Ownership Assignment Each model has designated owners and stakeholders clearly identified. |
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Change Logging Logs every change made to models or documentation for audit purposes. |
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Model Decommission Tracking Tracks retired/decommissioned models alongside active ones. |
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Model Categorization Categorizes models by risk tier, business function, and regulatory impact. |
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Documentation Completeness Score Measures the percentage of required documentation fields completed for each model. |
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Documentation Accessibility Documentation is easily accessible to relevant staff and auditors. |
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Automated Model Onboarding Workflow Streamlines onboarding with automated forms and steps. |
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Role-based Access for Documentation Access to model documentation is controlled by user role and permission settings. |
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Automated Model Validation Scheduling Schedules regular model validation exercises and tracks completion. |
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Validation Workflow Management Manages steps and approvals for validation activities, with status tracking. |
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Model Performance Metrics Tracks KPIs such as accuracy, stability, bias, and drift. |
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Threshold Monitoring for Metrics Alerts when monitored performance metrics breach predefined thresholds. |
Alerts for threshold breaches of monitored performance metrics are described as available and configurable. | |
Model Drift Detection Detects if a model's performance has materially changed over time. |
Model drift detection is a built-in reporting and alert mechanism. | |
Backtesting Capability Automated tools for backtesting model predictions using historical data. |
Built-in automated backtesting is mentioned for validation/testing capabilities. | |
Data Quality Monitoring Evaluates input data quality for model reliability. |
Data quality monitoring and exception flagging are listed in the technical architecture. | |
Validation Findings Repository Stores validation reports and findings with resolution tracking. |
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Outcome Analysis Frequency Frequency with which model outcomes are reviewed. |
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Peer Review Process Includes mandatory peer review of validation results. |
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Automated Reporting of Validation Issues Validation findings automatically trigger notifications and escalation. |
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Independent Model Review Support Allows for auditor or independent reviewer access and review workflows. |
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Model Performance Visualization Provides dashboards and charts for visualizing validation and performance data. |
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Model Risk Scoring Assigns risk tiers or quantitative risk scores to each model based on impact, complexity, and use. |
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Aggregate Model Risk Dashboard Displays aggregate model risk exposure at the enterprise and business unit levels. |
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Scenario Analysis Support Facilitates scenario testing of model failures/weaknesses. |
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Risk Aggregation Automation Automatically compiles model risks into enterprise-wide reports. |
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Concentration Risk Identification Identifies areas of undue model risk concentration (e.g., by vendor or business line). |
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Risk Heatmap Generation Produces visual heatmaps of model risk across organization. |
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Risk Appetite Alignment Check Compares model risks to stated institution risk appetite/tolerance. |
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Model Dependencies Mapping Maps dependencies between models to surface systemic risk. |
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Regulatory Capital Impact Calculator Estimates regulatory capital requirement impact of models. |
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Risk Assessment Frequency The regularity with which formal risk assessments are performed. |
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Automated Risk Trend Analysis Tracks changes in model risk scores or classifications over time. |
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Stress Testing Integration Enables integration with broader stress testing systems. |
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Portfolio-level Risk Summaries Compiles model risks for groups or portfolios of models. |
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Workflow Automation for Approvals Enforces approval steps for model creation, changes, validation, and decommissioning. |
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Role-Based Permissions User roles and permissions govern access to model features and data. |
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Audit Trails Comprehensive audit logs for all user and system actions affecting models. |
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Policy Enforcement Engine Automated enforcement of institution’s model risk management policies. |
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Exception Management Tracks and manages exception requests and approvals related to model risk rules. |
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SLA Monitoring for Model Reviews Monitors and reports on service-level performance for key model management processes. |
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Delegated Authority Workflows Allows for workflow steps to be delegated to appropriate roles/groups. |
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Change Management Workflows Automates workflows for proposed model modifications or redevelopments. |
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Document Approval Routing Routes new/updated model documentation for sign-off by required approvers. |
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Process Compliance Score Percent of governance tasks completed on time and in full. |
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Conflict of Interest Checks Ensures independence in reviews and approvals to prevent conflicts of interest. |
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Integration with HR Systems Links user permissions with HR records for role verification. |
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Pre-built and Customizable Workflow Templates Includes standard workflow templates, e.g., for new model onboarding, validation, etc. |
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Automated Regulatory Reporting Auto-generates regulatory reports tailored to applicable frameworks (e.g., SR11-7, ECB, PRA). |
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Pre-built Regulatory Templates Provides templates aligned to major global and regional MRM regulatory standards. |
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Regulatory Change Tracking Tracks and alerts users to new or updated regulatory requirements. |
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Audit Readiness Reports Quick generation of compliance evidence packs for audits. |
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Regulatory Gap Analysis Tools Assesses model risk management processes against current regulation. |
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Regulatory Submission History Archive of previous regulatory filings and correspondences. |
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Compliance Attestation Workflows Facilitates gathering sign-offs and attestations on compliance status. |
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Regulatory Reporting Frequency Frequency at which formal regulatory reports are generated/submitted. |
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Regulatory Reference Library Central repository for latest applicable regulations and guidance. |
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Automated Control Testing Periodically tests regulatory controls for effectiveness. |
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Regulatory Impact Flagging Flags models with increased scrutiny or regulatory attention. |
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Custom Regulatory Fields Configuration of custom fields to meet unique regulatory needs. |
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Multi-jurisdictional Compliance Support Handles regulatory requirements for multiple regions/jurisdictions. |
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Open API Access RESTful APIs for integration with internal risk, data, and reporting platforms. |
APIs (REST/SOAP) for integration and data access are available; see SAS Open API documentation. | |
Batch Data Import/Export Supports mass data transfer for models, metadata, performance data, etc. |
Supports batch data imports/exports for models, metadata, and result sets. | |
Plug-in Connector Framework Allows integration with third-party data, analytics, or regulatory tools. |
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Real-time Data Feeds Support Can consume and process real-time market, risk, or operational data feeds. |
Can handle and process real-time data feeds for ongoing risk analysis; cited in technical documentation. | |
Integration with Model Libraries Easy import/export of models from standard libraries or development environments. |
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Single Sign-On (SSO) Integration Enables secure SSO via enterprise identity providers (LDAP, SAML, OAuth). |
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Third-Party Validation Plug-ins Connects with external validation vendors or consultants. |
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Regulatory Submission Gateways Direct submission to regulatory systems via secure channels. |
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Automated Data Mapping Automates mapping of internal data fields to external/regulatory schema. |
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API Call Capacity Maximum number of API calls supported per minute. |
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Integration Setup Time Average time required to set up a new integration. |
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Audit Logging of API Interactions Tracks all external API/API connector accesses for audit purposes. |
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Bulk Data Synchronization Supports scheduled bulk synchronization of data across platforms. |
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Encryption at Rest and in Transit Sensitive data is encrypted in all states. |
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Granular Access Controls Restricts data and function access to only authorized users/groups. |
Granular, role-based access controls implemented for data and model separation per regulatory requirements. | |
Multi-factor Authentication (MFA) Supports strong user authentication with multiple factors. |
Multi-factor authentication is available and configured as a best practice in deployments. | |
Intrusion Detection and Alerting Monitors for security incidents and notifies administrators. |
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Data Masking Masks or redacts sensitive fields for non-privileged users. |
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Configurable Data Retention Policies Customizable policies for retention and deletion of all records. |
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Full Audit Logging Captures every access, change, and export of sensitive data. |
Comprehensive audit logging of data/model access/change per regulatory reporting requirements. | |
GDPR/CCPA Compliance Tools Built-in tools to facilitate compliance with privacy regulations. |
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Penetration Testing Support Platform regularly tested for vulnerabilities. |
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Role-based Encryption Keys Encryption keys segregated by user or function role. |
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Access Review Frequency Frequency of mandatory access control reviews. |
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Secure File Transfer Protocols Supports SFTP, FTPS, HTTPS, and other secure protocols for file transfers. |
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Incident Response Automation Automates aspects of incident investigation and remediation. |
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Comprehensive Activity Logging Records every user action, change, and event in the system. |
SAS records all user and system activity, supporting audit and compliance. | |
Historical Model State Reconstruction Ability to reconstruct the state of any model at any point in time. |
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Automated Audit Trails for Model Lifecycle Automated capture of model lifecycle events for audit trail. |
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User Action Attribution All activity traceable to individual users. |
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Configurable Audit Data Retention Customizable retention periods for audit logs. |
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Forensic Data Export Enables export of logs in standard forensic formats. |
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Change Approval Tracking Documentation of who approved/reviewed each model change. |
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Automated Audit Report Generation Irregular and periodic audit-ready reports generated automatically. |
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Audit Issue Lifecycle Management Tracks open audit items, remediations, and closure status. |
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Auditor Access Portal Dedicated portal for auditor review of model documents and logs. |
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Exception Logging Explicit logging of all deviation/exceptions from policy or workflow. |
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Time to Prepare Audit Report Average time required to produce a full audit report. |
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Automated Evidence Pack Assembly Assembles a package of relevant evidence for each model at the click of a button. |
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Custom Report Builder Users can design and schedule custom reports on models, risk, validation, etc. |
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Automated Dashboard Generation Pre-built and customizable dashboards visualize key metrics and trends. |
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Natural Language Query Support Allows users to ask questions and generate reports using natural language. |
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Drill-down Analytics Interactive reports allow users to drill into detailed data. |
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Export to Standard Formats Exports reports and analytics to PDF, Excel, CSV, etc. |
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Scheduled Report Distribution Automates email or portal report delivery on a fixed schedule. |
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Ad-hoc Query Speed Time to run an ad-hoc analytic query on the entire dataset. |
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Automated KPI Notifications Sends alerts if key performance indicators deviate from set thresholds. |
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Data Visualization Library Wide range of chart, graph, map, and interactive visualization tools. |
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Self-service Data Exploration Business users can explore data and generate insights without IT support. |
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Predictive Analytics Tools Supports building and evaluating predictive models (e.g., model obsolescence risk). |
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Anomaly Detection Analytics Automatically detects unusual or outlier model behavior or risk drivers. |
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Usage Metrics Monitoring Tracks user access, utilization, and most viewed reports. |
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Custom Field Configuration Admins can add custom fields/attributes to models, workflows, or records. |
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Custom Workflow Designer Users can create/edit workflows to match unique internal processes. |
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Branded User Interface Support Supports custom branding, color schemes, and logos. |
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Multi-language Support System is available in multiple languages for global teams. |
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Accessibility Compliance UI is compliant with accessibility standards (e.g., WCAG 2.1). |
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Mobile Device Compatibility Optimized for tablet and mobile use, or via native app. |
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Help and Guided Tours Includes built-in help, walkthroughs, and onboarding tours. |
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User Feedback and Feature Request Portal Tool for users to submit feedback or feature requests. |
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User Preference Profiles Users can set display, notification, and workflow preferences. |
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Custom Notification Settings Users can tailor notification triggers and formats. |
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Number of Supported Languages Quantifies how many languages are included out of the box. |
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Role-based UI Customization UI dynamically adapts to user's role and typical activities. |
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Self-service Dashboard Customization Users can modify their dashboard layout and displayed metrics. |
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High Uptime Guarantee SLA-backed platform uptime percentage. |
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Horizontal Scalability Can handle increases in users, models, and transactions with minimal delay. |
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Disaster Recovery Protocols Comprehensive, tested disaster recovery and business continuity processes. |
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Load Balancing Support System automatically balances load across infrastructure to maintain performance. |
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Usage Capacity Maximum recommended number of concurrent users. |
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Peak Model Portfolio Size Maximum recommended number of models under management. |
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Automatic Scaling Automatically allocates resources for increased usage. |
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Platform Update Transparency Users are notified of system updates, maintenance, and feature rollouts. |
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Monitoring and Alerting for Downtime Proactive monitoring and alerting in the event of system outages. |
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Failover Infrastructure Redundant hardware/cloud resources ensure service continuity. |
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Batch Processing Speed Average time to process a batch operation (e.g., model import, validation run). |
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Support for Multi-tenancy Can securely host multiple independent client environments. |
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Continuous Backup Frequency Interval at which platform data is automatically backed up. |
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