In-memory analytics platform for risk management featuring real-time FRTB calculations, capital allocation, what-if analysis, stress testing, and liquidity management. Provides high-performance computing for large datasets and complex risk scenarios.
Platforms for advanced analysis of various risk types to support risk management decisions.
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Multi-source Data Integration Ability to import and unify data from multiple banking systems (core banking, CRM, external feeds, etc.). |
ActivePivot supports integration with multiple banking systems via connectors and APIs, as outlined in their enterprise documentation. | |
Real-time Data Sync Support for real-time or near-real-time data updates and streaming. |
Product is promoted as supporting real-time risk calculations and data updates, both in marketing material and customer testimonials. | |
ETL Automation Built-in extract, transform, load (ETL) processes for automated data management. |
ETL automation is available through ActiveViam’s data integration workflows for batch and streaming data sources. | |
Data Quality Monitoring Tools to continuously check, profile, and improve data accuracy and consistency. |
Data quality monitoring is included as part of the product’s data pipeline and audit trail features. | |
API Support Availability of application programming interfaces for custom integrations. |
ActivePivot provides an API layer for custom integrations and application extensions. Documented on their website. | |
Unstructured Data Handling Ability to process and analyze unstructured data (such as emails, documents, social media). |
No information available | |
Batch Processing Speed Processing speed for large batches of imported data. |
No information available | |
Data Mapping Flexibility Tools for flexible mapping between different data schemas. |
Supports flexible data mapping through its model-driven data schema management. | |
Cloud Database Compatibility Support for major cloud storage/data platforms. |
Cloud database compatibility supported, notably with AWS and Azure, as referenced in several customer case studies. | |
Data Enrichment Capability to augment data with additional attributes or external sources. |
ActivePivot supports data enrichment by joining external scenario, market, and reference data sources. |
Credit Risk Assessment Ability to model, calculate, and report on credit risk exposure. |
Credit risk assessment calculations (including FRTB and other VaR approaches) are core to the platform. | |
Market Risk Analytics Support for calculating risks related to market volatility, value at risk (VaR), etc. |
Market risk analytics (including Value-at-Risk, sensitivities, and stress scenarios) are stated features. | |
Operational Risk Models Tools for quantifying and simulating operational risks (fraud, process failure, etc.). |
Operational risk is supported via custom models, according to solution whitepapers. | |
Custom Risk Scorecard Builder Ability to design, implement, and manage custom risk scoring systems. |
Custom risk scorecard and rule builder capabilities referenced for advanced user groups. | |
Stress Testing Simulation of extreme scenarios to assess resilience. |
Supports simulation of extreme scenarios and regulatory stress testing. | |
Scenario Analysis Capability to analyze the effect of different market and credit scenarios. |
Enables scenario analysis with what-if and stress test capabilities per promo docs. | |
Probability of Default Calculation Support for quantitative PD modeling. |
No information available | |
Loss Given Default Estimation Tools to estimate LGD values. |
No information available | |
Exposure at Default Estimation Tools to model EAD figures. |
No information available | |
Model Calibration Tools Functionality to recalibrate and validate predictive risk models. |
Model calibration and validation features are available for recalibrating risk models based on new inputs. |
Interactive Dashboards Customizable dashboards for visualizing key risk metrics and trends. |
Customizable dashboards and visual analytics are key differentiators, as highlighted repeatedly on the website. | |
Automated Report Generation Tools for scheduled and one-click creation of risk reports. |
Automated and scheduled reporting is listed as an integral feature. | |
Drill-down Functionality Ability to drill into report figures to explore underlying data. |
Users can drill down into aggregated numbers to the underlying trade or data element. | |
Trend Analysis Historical views and trend projections for risk indicators. |
Trend analysis over historical data is supported via OLAP-style time slicing. | |
Custom Report Builder User-defined templates and configuration for bespoke reporting. |
Custom report templates and builders included in the tool. | |
Exception Reporting Alerting on outliers, breaches, or significant risk events. |
Exception/outlier/threshold alerting featured as part of reporting and monitoring. | |
Regulatory Report Templates Built-in templates for key regulatory risk reports (e.g., Basel, IFRS 9, CECL). |
References to regulatory templates (Basel/FRTB) in solution documentation. | |
Export Options Ability to export reports/data to popular formats (PDF, Excel, CSV, etc.). |
Report and data exports are supported in various standard formats (Excel, CSV, PDF). | |
Visualization Types Number of chart/visualization types supported. |
No information available | |
Mobile Accessibility Support for report and dashboard access on mobile devices. |
No information available |
User Access Controls Role-based permissions and user management. |
Explicit support for role-based access control included in documentation. | |
Audit Trail Comprehensive logs of data changes and analytic actions. |
Comprehensive audit trails available for all analytic actions and data history. | |
Data Encryption Support for encryption at rest and in transit. |
Data encryption for both in-transit and at-rest data is a standard security feature. | |
GDPR/CCPA Compliance Certified support for major data privacy laws. |
ActivePivot meets requirements for GDPR and CCPA based on its European customer base and documentation. | |
Data Masking Redacting sensitive information in outputs and analytics. |
Data masking is possible via configuration to suppress or anonymize outputs. | |
Multi-Tenancy Support Ability to securely segment data and processes by user or division. |
Multi-tenancy supported in enterprise deployments as described in technical documentation. | |
SAML/SSO Integration Support for federated login and identity management. |
SAML and SSO (including with Azure AD) are both supported. | |
Physical Security Certifications Provider holds relevant data center and process security certifications. |
Physical security compliance referenced via certified hosting providers (AWS, Azure). | |
Automated Data Retention Policies Configurable rules for retaining and purging risk data. |
Offers configurable policies for data retention and deletion. | |
Incident Response Framework Structured response and notification policies for security events. |
No information available |
Machine Learning Model Integration Ability to deploy, score, and retrain machine learning models. |
No information available | |
Anomaly Detection Automatic identification of unusual risk patterns. |
No information available | |
Time-series Forecasting Support for forecasting risk using time series/sequence models. |
No information available | |
Model Explainability Tools Features for interpreting ML model outputs (e.g., Shapley values, LIME). |
No information available | |
Custom Algorithm Support Ability to plug in proprietary or custom-developed models. |
No information available | |
Automated Feature Engineering Automatic detection and creation of useful input features for predictive models. |
No information available | |
Model Performance Monitoring Ongoing tracking of predictive model accuracy and drift. |
No information available | |
AutoML Capabilities Support for automatic model selection and hyperparameter tuning. |
No information available | |
Risk Alerting Based on Predictions Automated notification based on predictive risk thresholds. |
No information available | |
Batch Scoring Speed The speed at which models can score data in batch processes. |
No information available |
Macro-economic Scenario Modeling Built-in or customizable macroeconomic scenario setups for stress testing credit and market risk. |
Macroscenario modeling and customized stress scenarios are a key focus of the FRTB offering. | |
Reverse Stress Testing Ability to identify scenarios that would cause portfolio or firm-wide failure. |
Reverse stress testing for regulatory alignment documented in solution briefs. | |
Flexible Scenario Definition User-definable parameters and variables for scenario analysis. |
Flexible parameters and scenario definition tools available for users. | |
Test Automation Scheduling and automation capabilities for regular stress and scenario runs. |
No information available | |
Scenario Library Pre-configured sets of sample scenarios for rapid analysis. |
No information available | |
Real-time Impact Calculation Instantaneous computation of risk metric changes as scenarios are applied. |
Real-time impact calculations are marketed as a major differentiator. | |
Regulatory Stress Test Alignment Templates and configuration aligned to regulatory stress test requirements (e.g., CCAR, EBA). |
Regulatory stress test templates and compliance packs included for CCAR, EBA, and FRTB. | |
Scenario Comparison Visualization Tools to visually compare outputs under multiple scenarios. |
Comparison visualizations for scenarios included in dashboard features. | |
Large-scale Simulation Capacity Maximum number of simultaneous scenarios that can be run. |
No information available | |
Scenario Result Export Ability to export scenario outputs for reporting or further analysis. |
Scenario result exports supported for further processing and regulatory submissions. |
Basel Compliance Tools Built-in models and reports aligned to Basel II/III requirements. |
Basel compliance is a core focus of the solution as noted in FRTB product sheets. | |
IFRS 9/CECL Support Features to support international and US accounting for credit impairment. |
IFRS 9 and CECL reporting and analytics are supported and referenced on the website. | |
Audit-ready Reporting Ability to generate documentation and outputs required for external/internal audits. |
Audit-ready outputs are a compliance requirement and detailed in platform documentation. | |
Automatic Regulatory Updates Product is kept current with major regulatory rule changes. |
Automatic regulatory updates (e.g., FRTB phase revisions) available through software updates. | |
Regulatory Submission Integration Direct interfaces for electronic regulatory report delivery. |
No information available | |
Regulatory Test Suites Standardized test suites to validate compliance outputs. |
No information available | |
Data Lineage Traceability of all data points in regulatory reports back to origin. |
Data lineage tracing is included for compliance and internal controls. | |
Comprehensive Risk Taxonomy Library of risks classified in accordance with global regulatory standards. |
Comprehensive risk taxonomy per regulatory standard included for users. | |
Regulatory Version Control Ability to archive and roll-back compliance configurations. |
No information available | |
Compliance Policy Templates Pre-built and customizable documentation to accelerate compliance efforts. |
No information available |
Concurrent User Support Number of users who can access/report simultaneously. |
No information available | |
Maximum Data Volume Amount of transactional or risk data that can be stored/processed efficiently. |
No information available | |
Analytic Calculation Speed Average time needed for complex risk calculations. |
No information available | |
Uptime/Availability SLA Service level agreement for availability/reliability. |
No information available | |
Parallel Processing Capability Ability to use parallel CPUs/cores for faster risk analytics. |
Supports multithreaded and parallel processing explicitly on its technical architecture page. | |
Cloud Scalability Native scalability in public/private/hybrid cloud environments. |
Cloud deployment and native cloud scaling supported for public and private cloud. | |
Load Balancing Support Automated distribution of workload to maximize performance. |
No information available | |
Batch Processing Throughput Amount of data processed per batch job. |
No information available | |
Peak User Response Time Maximum time for dashboard or report to load at peak usage. |
No information available | |
Failover/Disaster Recovery Automated backup and recovery options for business continuity. |
Failover and disaster recovery included for production and SaaS environments. |
Self-service Analytics Ability for business users to run and customize analytics without IT. |
Self-service analytics is promoted as a benefit for business users (no code analytics and dashboarding). | |
Shared Workspaces Team collaboration areas for shared analytics and annotation. |
No information available | |
Commenting and Discussion Tools Inline commenting for risk findings and analytic results. |
No information available | |
User Onboarding Guidance Interactive help, tutorials, or guided onboarding for new users. |
Onboarding assistance, product tours, and knowledge base available for onboarding. | |
Customizable Dashboards Drag-and-drop or configurable dashboards. |
Customizable dashboards highlighted in product demos and documentation. | |
Role-specific Interfaces UI/UX tailored to different types of users (analysts, managers, IT, etc.). |
No information available | |
Scheduling and Email Notifications Support for scheduled reports and email-based alerts. |
Scheduling and automated notifications supported as referenced in reporting documentation. | |
Mobile/Web Access Full functionality via browser or mobile app. |
Web-based and mobile access supported through responsive dashboards. | |
Personalized Views User-customized layouts, favorites, and bookmarks. |
No information available | |
Export/Import User Settings Ability to save, export, or migrate user configurations. |
No information available |
Plug-in/API Library Pre-built connectors or plug-ins for banking, BI, or risk management platforms. |
Pre-built connectors with banking, BI, and risk data sources are available. | |
Data Export APIs REST or SOAP APIs to export risk data/analytics to other systems. |
Data export APIs are standard for integration with downstream systems. | |
Custom Workflow Integration Ability to combine risk analytics into larger business workflows. |
Custom workflow integration available through API and event hooks. | |
BI Tool Compatibility Native integration with major BI products (Power BI, Tableau, etc.). |
Compatible with Tableau, PowerBI, and other BI solutions. | |
Third-party Model Import Ability to ingest externally developed models (e.g., PMML, Python, R). |
PMML and custom Python/R models can be integrated per technical integration documentation. | |
SFTP/Batch File Interface Support for exchanging bulk risk data using SFTP or shared storage. |
SFTP and batch file interfaces supported for bulk data ingest/export. | |
Event-driven Integration Trigger actions or analytics based on external events. |
Event-driven integration is possible via API hooks in the platform. | |
Sandbox Environment Environment for testing integrations and customizations safely. |
Sandbox environments are available for safe testing and proof-of-concept. | |
Versioned API Support Backward-compatible management of API version changes. |
Versioned API support for backward compatibility referenced in developer resources. | |
Extensible Data Schema Ability for admins to easily extend data structures for additional fields. |
Extensible data schema is a platform key feature for client-specific extensions. |
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