at Financial Technnology Year
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Features in Business Intelligence Platforms
for Analytics and Business Intelligence
Comprehensive solutions for reporting, dashboarding, and self-service analytics across the organization.
We ask vendors to mark their product against our feature list. It is not available for all products and in some cases we have derived data from publicly available sources. The list of features follows. Vendors can add a further 10 key features of their own.
Analytics & Reporting
Core analytical capabilities including querying, visualization, and advanced analytics for banking.
- Ad Hoc Reporting
- Ability for users to create custom reports on demand.
- Alert & Notification Triggers
- Define conditions to alert users of anomalies or events.
- Data Export Options
- Allows exporting reports to multiple formats (Excel, PDF, CSV, etc.).
- Data Visualization Gallery
- Number of available chart/visualization types.
- Drill-through Analysis
- Ability to click through summary data down to transaction detail.
- Embedded Analytics
- Can embed reports/charts in other banking applications or portals.
- Geo-spatial Analytics
- Provides geo-mapping and spatial analysis features (e.g., for branch performance).
- Interactive Dashboards
- Customizable dashboards with interactive filters and drill-downs.
- KPI Tracking
- Preset and custom banking KPIs (e.g., NIM, RoE, LCR).
- Scheduled & Automated Reporting
- Support for automatic, timed report generation and delivery.
- Self-service Analytics
- Enable non-technical users to create queries and generate insights.
Artificial Intelligence & Machine Learning
Advanced analytics including ML/AI for predictive insights and automation, relevant for banking functions like fraud, churn, and credit scoring.
- Anomaly Detection
- Automated detection of unusual activity (transactions, logins, etc.).
- AutoML
- Automated machine learning workflows for non-expert users.
- Explainable AI (XAI)
- Tools for interpreting model outcomes and increasing regulatory trust.
- Integrated ML/AI Engines
- Native capabilities for building, training, and deploying models within the platform.
- Integration with Python/R Notebooks
- Enable data scientists to work directly within programming notebooks.
- Model Ops (Monitoring and Retraining)
- Features for monitoring models in production and retraining as needed.
- Model Training Speed
- Measured throughput for ML model training.
- Natural Language Processing (NLP)
- Supports NLP for sentiment or document analysis.
- Number of Supported Algorithms
- Count of out-of-the-box ML/AI algorithms offered.
- Pre-built Banking Models
- Library of ready-to-use models for fraud, churn, credit risk, etc.
- Real-Time Scoring
- Deploys models to score transactions or events as they occur.
Collaboration & Sharing
Tools that enhance teamwork and sharing of insights, dashboards, and analytics.
- Audit Trail on Shared Assets
- Tracks who accesses or modifies shared analytics assets.
- Collaboration Workspace
- Shared spaces for cross-team analytics project work.
- Concurrent User Limit
- Maximum number of users who can collaborate concurrently.
- Export/Publish to External Channels
- Publish insights/reports to email, portals, or business apps.
- In-platform Commenting
- Users can comment/tag colleagues on reports/dashboards.
- Integration with Corporate Communication Tools
- Slack, Teams, or email integration for sharing notifications.
- Notification System
- Alerts users with updates or shared content.
- Personalized Content Feeds
- User-customized feeds for relevant insights/notifications.
- Role-based Content Sharing
- Granular controls for sharing analytics content with specific users/groups.
- Version Control
- Track versions and changes to dashboards or data models.
Compliance & Regulatory Support
Support for meeting banking and financial regulations relevant to analytics, including localization and audit.
- Application-level Auditing
- Event-level logging of user interaction with regulatory reports.
- Automated Report Archiving
- Archive regulatory reports on a scheduled basis.
- Automated Report Validation
- Validate submissions against regulatory business rules.
- Banking Regulatory Templates
- Pre-made formats for standard banking regulatory submissions.
- Change Logs for Regulated Reports
- Track and archive changes to all regulatory submissions.
- Data Residency Controls
- Configure where banking data is stored/processed geographically.
- Localization (Jurisdiction Support)
- Ability to adapt to various legal/accounting frameworks.
- Regulatory Change Management
- Update content automatically as regulations change.
- Sanctions and Watchlist Monitoring
- Tools to analyze and report against global financial watchlists.
- e-Signature Support
- Digitally sign regulatory reports as per local frameworks.
Data Governance & Security
Features centered on ensuring security, compliance, privacy, and governance of banking data.
- Audit Logging
- Records all user activity for compliance and traceability.
- Automated Compliance Reporting
- Automated generation of compliance audit reports.
- Data Encryption at Rest/In Transit
- Encrypts all sensitive data during storage and transmission.
- Data Lineage Tracking
- Ability to trace the origin and transformation history of data.
- GDPR/CCPA Compliance
- Built-in features to comply with privacy regulations.
- Multi-factor Authentication (MFA)
- Requires extra layer of security for platform access.
- PII Data Masking
- Automatically masks sensitive personally identifiable information.
- Retention Policy Management
- Automated controls for enforcing data retention/deletion policies.
- Role-Based Access Control (RBAC)
- Allow fine-grained user access management based on roles.
- Single Sign-On (SSO)
- Integration with enterprise authentication (e.g., SAML, LDAP, Active Directory).
- User Permissions Granularity
- Level of detail for restricting access to platform features/data.
Data Integration & Connectivity
Capabilities allowing the platform to connect to various internal and external data sources including databases, APIs, files, cloud systems, and core banking platforms.
- API Data Fetch Rate
- Maximum rate at which data can be fetched from APIs.
- Banking Core System Integration
- Native connectors for popular core banking systems (e.g., Temenos, Finacle, FIS, etc.).
- Batch Data Processing Capacity
- Volume of batch data pipeline processing.
- Custom Connector Development
- Allows custom connectors for unique data sources.
- Data Blending
- Allow combining data from multiple sources for unified analysis.
- Data Format Support
- Range of supported data types/formats (CSV, XML, JSON, Parquet, etc.).
- ETL/ELT Support
- Built-in Extract, Transform, Load/Extract, Load, Transform processes for preparing data.
- Multi-source Data Connections
- Ability to connect to a wide range of data sources (databases, files, APIs, etc.) simultaneously.
- On-premises and Cloud Connectivity
- Supports both on-premises and cloud-hosted data connections.
- Real-Time Data Synchronization
- Support for real-time data updates and streaming ingestion.
- Scheduling Data Updates
- Ability to schedule automated data refresh intervals.
Deployment & IT Management
Options and flexibility for implementing the platform in various IT environments, including support for banking IT policies.
- API Access for Administration
- Admin controls can be automated via API.
- Automated Updates
- Automatic patches/updates delivered by the vendor.
- Automated User Provisioning
- Integrates with HR or IT systems for onboarding/offboarding.
- Backup & Disaster Recovery
- Automated backups and recovery testing features.
- Change Management Tools
- Integrated tools for managing platform changes and rollback.
- Containerization Support
- Deployable using containers (e.g., Docker, Kubernetes).
- Custom Domain & Branding
- Banks can apply their logo, business domain, and UI colors.
- Deployment Models
- Available on-premises, private cloud, public cloud, or hybrid.
- Multi-instance Support
- Separate instances for dev, staging, and production.
- Service Level Agreement (SLA) Availability
- Guaranteed uptime from platform vendors.
Integration & Extensibility
Platform capabilities for integrating with other tools, enterprise systems, and custom extensibility.
- Custom Widget Support
- Ability to add bespoke visual components to dashboards.
- Data Federation
- Allows querying/discovery across federated sources.
- Integration Templates
- Pre-built integrations to common banking or fintech applications.
- Integration with BI/Analytics Standards
- Support for OData, JDBC, ODBC, or other analytics standards.
- Marketplace for Add-ons
- Ecosystem for third-party or in-house extensions.
- Open APIs
- Well-documented APIs for pushing/pulling data and metadata.
- Reporting API Throughput
- Speed of exporting reports via API.
- SDKs and Developer Tools
- Software development kits in major programming languages.
- Web Hooks/Event Triggers
- Can respond to platform or data events for integration.
- Webhook Latency
- Average time to trigger and deliver an event.
Scalability & Performance
The platform’s ability to handle data volume and user load, and to deliver analytics quickly as required by large banks.
- Cloud-native Architecture
- Built to run natively on cloud platforms for maximum scale.
- Concurrent User Support
- Maximum number of analytics users supported at once.
- Data Partitioning
- Support for dividing data sets for distributed processing.
- Distributed Computing Support
- Harnesses cluster computing for faster processing.
- Elastic Scaling
- Automated system resources scaling up/down based on load.
- High Availability
- Redundancy and failover support for mission-critical analytics.
- Maximum Data Volume Supported
- The data size the platform can efficiently process.
- Multi-tenancy
- Single platform instance supports multiple organizations/business units securely.
- Query Response Time
- Median time to return results for standard queries.
- Workload Isolation
- Separates analytic workloads (e.g., test vs. production).
Support, Training, and Service
Vendor support, ongoing service agreements, and training features to maximize customer value.
- 24/7 Support Availability
- Vendor provides ‘always-on’ support for critical functions.
- Account Health Reviews
- Regular check-ins and performance reviews by the vendor.
- Certified Training Programs
- Official learning tracks for business and technical users.
- Community Forums
- User-to-user forums for troubleshooting and ideas.
- Dedicated Banking CSM
- Customer Success Manager specialized in banking analytics.
- Implementation Accelerators
- Templates/frameworks to speed initial implementation.
- On-Demand Knowledge Base
- Extensive, searchable database of help articles and FAQs.
- Service Management Portal
- Online management of support tickets and SLAs.
- Third-party Implementation Partner Ecosystem
- Availability of certified partners for platform rollout.
- Vendor Response Time
- Average time to first contact from support.
User Experience & Usability
Ease of use for end users, analysts, and administrators, including visual design, learning curve, and accessibility.
- Accessibility Compliance (WCAG)
- Meets standards for users with disabilities.
- Custom Theme Support
- Ability to configure platform colors, fonts, and layout.
- Customizable Dashboards
- Users can tailor dashboards to their preferences.
- Feedback/Support Widgets
- In-platform mechanism to contact support or send feedback.
- Mobile Accessibility
- Analytics accessible on mobile devices (responsive web or app).
- Multi-language Support
- Platform available in user’s preferred language.
- No-code/Low-code Analytics
- Allows users to build reports/dashboards without advanced coding.
- Onboarding & Guided Tutorials
- In-app guidance and training to speed up user adoption.
- Personalized Analytics
- Platform adapts to users’ roles, preferences, or historical behavior.
- User Satisfaction Score
- Aggregate user feedback regarding usability.