Teradata Vantage for Banking from Teradata

Cloud data analytics platform with advanced analytics capabilities, scalable architecture, and hybrid multi-cloud deployment options. Includes financial services-specific features for fraud detection, customer experience optimization, risk management, and regulatory compliance.

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Product analysis by function

Data Management for IT and Infrastructure

Platforms for storing, processing, and analyzing the bank's data assets.
More Data Management More IT and Infrastructure ...

Data Integration
(8 Yes /8 Known /10 Possible features)

Data Security
(10 Yes /10 Known /10 Possible features)

Data Storage and Scalability
(5 Yes /5 Known /10 Possible features)

Infrastructure Resilience
(7 Yes /7 Known /10 Possible features)

Data Quality Management
(10 Yes /10 Known /10 Possible features)

Analytics and Reporting
(9 Yes /9 Known /10 Possible features)

Compliance and Regulatory Features
(8 Yes /8 Known /10 Possible features)

System Performance and Optimization
(7 Yes /7 Known /10 Possible features)

User and Identity Management
(10 Yes /10 Known /10 Possible features)

Interoperability and Open Standards
(8 Yes /8 Known /10 Possible features)

Automation and Workflow Management
(9 Yes /9 Known /10 Possible features)

Customer Analytics for Analytics and Business Intelligence

Solutions for analyzing customer data to gain insights into behavior, preferences, and opportunities for engagement.
More Customer Analytics More Analytics and Business Intelligence ...

Data Integration
(8 Yes /8 Known /10 Possible features)

Customer Segmentation
(8 Yes /8 Known /10 Possible features)

Advanced Analytics & Insights
(9 Yes /9 Known /10 Possible features)

Data Visualization & Reporting
(9 Yes /9 Known /10 Possible features)

Personalization & Recommendation Engines
(9 Yes /9 Known /10 Possible features)

Security & Compliance
(8 Yes /8 Known /10 Possible features)

User Experience & Usability
(8 Yes /8 Known /10 Possible features)

Collaboration & Sharing
(8 Yes /8 Known /10 Possible features)

Integration & Extensibility
(9 Yes /9 Known /10 Possible features)

Scalability & Performance
(4 Yes /4 Known /10 Possible features)

Support & Training
(9 Yes /9 Known /10 Possible features)

Advanced Analytics and AI for Analytics and Business Intelligence

Cutting-edge analytical solutions leveraging machine learning, artificial intelligence, and predictive modeling.
More Advanced Analytics and AI More Analytics and Business Intelligence ...

Data Integration and Connectivity
(8 Yes /8 Known /10 Possible features)

AI/ML Modeling and Automation
(9 Yes /9 Known /11 Possible features)

Visualization and Dashboarding
(9 Yes /9 Known /10 Possible features)

Predictive and Prescriptive Analytics
(8 Yes /8 Known /10 Possible features)

Security and Compliance
(9 Yes /9 Known /10 Possible features)

User Experience and Usability
(8 Yes /8 Known /10 Possible features)

Collaboration and Workflow
(10 Yes /10 Known /10 Possible features)

Deployment and Scalability
(7 Yes /7 Known /10 Possible features)

Extensibility and Customization
(9 Yes /9 Known /10 Possible features)

Operational Performance and Monitoring
(9 Yes /9 Known /10 Possible features)

Support and Vendor Services
(8 Yes /8 Known /10 Possible features)

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Multi-source Integration Ability to connect and aggregate data from various databases, applications, and data feeds.		Teradata Vantage supports integration from multiple sources including cloud and on-prem data lakes, warehouses, and external feeds (per product datasheet and documentation).
API Support Support for open and custom APIs for seamless data transfer and interoperability.		Official documentation and marketing highlight comprehensive support for open and custom APIs, including REST APIs.
Batch Data Import/Export Automated or manual bulk import and export of datasets.		Batch import and export tools are native to Teradata Vantage, supporting large dataset movement.
Real-time Data Sync Synchronization of data between systems in real time.		Real-time integration and analytics are core product capabilities, with streaming ingestion available.
ETL Processing Speed The speed at which the platform can perform Extract, Transform, Load (ETL) operations.		No information available
Data Mapping Ability to translate or transform data fields between systems.		Rich data mapping and transformation features are marketed in both data engineering and analytics use cases.
Data Lineage Tracking Support for tracking the lifecycle and source of data through the system.		Data lineage, traceability, and audit capabilities highlighted in compliance and data governance modules.
Connector Library Availability of pre-built connectors for major financial and banking systems.		No information available
Custom Connector Development Capability to create custom connectors for proprietary or legacy systems.		Custom connector and integration development is possible via APIs and SDKs (confirmed in technical documentation).
Cloud Data Integration Native integration options for major cloud service providers.		Vantage runs natively on AWS, Azure, and Google Cloud, and integrates directly with cloud storage/services.

Encryption at Rest Data stored in the system is encrypted to prevent unauthorized access.		Teradata Vantage documentation states encryption-at-rest for all stored data, including user and system data.
Encryption in Transit Data is encrypted when transmitted between systems or over networks.		Data in transit is encrypted via TLS/SSL between nodes and for API access, as confirmed in technical specs.
Role-based Access Control (RBAC) Ability to define and enforce user access permissions by roles.		RBAC is standard with user, group, and role-level policies for data and admin access (per product guides).
Audit Logging System automatically logs all access and data modification events.		Comprehensive audit logs are enabled for configuration and data accesses (required for banking/compliance, found in documentation).
Multi-factor Authentication (MFA) Extra layer of authentication for user access.		MFA can be enabled for Teradata console and cloud identity management integration.
Compliance Management Support for standards such as PCI DSS, GDPR, or local banking regulations.		Banking/financial marketing and documentation reference PCI DSS, GDPR, and other compliance standards directly.
Data Masking Sensitive data is obfuscated or masked when displayed or exported.		Data masking and obfuscation are product features for compliance use cases.
Intrusion Detection Automated detection and alerting of unusual access or potential breaches.		SIEM and intrusion detection systems can be integrated; native alerting features are mentioned.
User Activity Monitoring Detailed tracking of user behaviors and access within the system.		User activity monitoring is standard for compliance and audit, with dashboards and reports included.
Secure API Gateways APIs are protected with security layers such as OAuth or JWT.		APIs are protected with security layers, including OAuth2 or application tokens.

Capacity Total storage supported by the system.		No information available
Automated Scaling System capacity expands automatically in response to usage.		Platform auto-scales in multi-cloud and as-a-service environments to meet high volume banking requirements.
Data Compression Support for redundancy reduction through data compression algorithms.		Data compression is built-in for storage optimization (confirmed in storage documentation).
Data Archiving Automated archiving of historical or infrequently accessed data.		Supports lifecycle management and automated data archiving (see data governance features).
Hot and Cold Storage Management Separation of frequently accessed (hot) and infrequently accessed (cold) data.		Offers multi-tier storage and can be configured for hot vs cold data, as referenced in hybrid architecture.
Federated Data Storage Ability to manage distributed storage environments seamlessly.		No information available
Data Purging Capabilities for scheduled and compliant deletion of obsolete data.		Data purging policies are available as part of data governance and compliance controls.
Throughput Data read/write speed supported by the system.		No information available
Backup Frequency The allowed or configurable frequency of data backups.		No information available
Restoration Time The time needed to recover data from a backup.		No information available

High Availability (HA) Support for clustered or redundant configurations to minimize downtime.		High availability is a platform core value proposition with multi-node clusters and cloud-native redundancy.
Disaster Recovery (DR) Automated failover and recovery procedures in case of major incidents.		Disaster recovery/geo-redundancy are supported with infrastructure as code and multi-region deployment options.
Uptime Guarantee The service level agreement (SLA) for guaranteed system availability.		No information available
Automated Failover Automatic transfer of services to backup infrastructure during failures.		Automated failover is available in cloud and managed on-premise deployments.
Redundant Power and Connectivity Multiple, independent power and network sources.		No information available
Geographically Distributed Data Centers Utilization of multiple physical locations for operations and backup.		Multi-region and cross-country data centers are available in cloud environments.
Real-time Monitoring Continuous monitoring of all system components and services.		Offers real-time and continuous monitoring for performance, security, and health analytics.
Incident Response Automation Automated workflows for responding to detected incidents.		No information available
Snapshot Recovery Ability to recover to a previous point-in-time configuration.		Supports point-in-time snapshot recovery within data protection suite.
Maintenance Windows Scheduled times for updates without impacting availability.		Maintenance windows are scheduled with minimal/no downtime using cloud-native rolling updates.

Data Validation Rules Automated rules for checking input and imported data for errors.		Data validation and rules engines are available to ensure integrity at ingestion/processing.
Duplicate Detection Automated identification and management of duplicate records.		Duplicate records detection and management available as part of Vantage Data Quality Suite.
Data Cleansing Procedures and tools for correcting or removing inaccurate records.		Data cleansing tools are available via workflows and data quality add-ons.
Data Profiling Statistical and analytical assessment of data quality.		Data profiling available as a key feature in analytics and governance tooling.
Automated Data Enrichment Augments records with missing or supplemental information.		Automated enrichment via integration with 3rd parties and internal reference datasets.
Rule Customization Ability to define custom business rules for data quality management.		Business rules engine can be customized for data quality and cleansing.
Anomaly Detection System can identify unusual or outlier records.		Anomaly detection using built-in ML algorithms for banking fraud and risk.
Data Quality Dashboard Centralized view of metrics relating to data quality.		Dashboard for visualization and measurement of overall data quality is included.
Data Stewardship Tools Features to assign responsibility for quality improvement.		Data stewardship assignment and workflow exist for financial services data governance.
Audit Trail for Quality Changes Tracking of all modifications and their justifications.		All changes to data quality are tracked with audit trails for regulatory needs.

Real-time Analytics Analytics engine processes and presents live data streams.		Real-time analytics and live data streaming are major selling points (highlighted in banking use cases).
Ad Hoc Reporting Customizable, on-demand reporting tools.		Toolset includes ad hoc report building for analysts and non-technical users.
Scheduled Reporting Ability to automate and distribute recurring reports.		Scheduling and automation for recurring and compliance reports is included.
Dashboard Customization Users can tailor dashboard views and widgets.		Highly customizable dashboards through web console and APIs.
Drill-down Capability Clickable insights allowing users to explore data at deeper levels.		Drill-down capability advertised as part of the analytics/BI suite.
Report Export Options Support for exporting reports in various formats (PDF, XLS, CSV, etc.).		Export various formats, commonly PDF, XLS, and CSV, per documentation.
Data Visualization Library Built-in charts, graphs, and widgets for representing data.		No information available
Alerting & Notifications Automated alerts upon reaching predefined thresholds or conditions.		Alerting and notifications can be configured for data and analytics events.
Self-service BI Non-IT users can create and modify reports without technical intervention.		Users can build their own BI and reporting without deep IT involvement.
Audit Trail for Reports Tracks when and by whom a report was generated or modified.		Tracks report access/generation for compliance; audit logs are part of enterprise offering.

Compliance Dashboard Unified interface to monitor and manage regulatory adherence.		Compliance dashboards for PCI, GDPR, and banking regulations are demonstrated on vendor materials.
Regulatory Reporting Automated generation and submission of required compliance reports.		Automated report generation for regulators is featured as part of industry solution for banking.
Data Retention Policies Automated enforcement of policies for record-keeping and disposal.		Retention rules are enforced via automation policy. Data lifecycle management is a documented feature.
Consent Management Tracking and handling of customer consent for data usage.		Consent management support is referenced for GDPR/CCPA compliance.
Audit Readiness Easy extraction of data and logs required for audits.		System is designed for audit-readiness with logs/export/reporting.
Sanction List Screening Automated checking of data against official watchlists.		Sanction list screening is built in for banking-specific compliance and anti-money laundering modules.
Policy Enforcement Engine Systematically applies compliance rules across the environment.		Policy enforcement engine is referenced in context of data governance and banking regulations.
Regulation-specific Modules Modules for specific rules (e.g., Basel III, SOX, PSD2).		No information available
Change Management Logging Logs all changes to compliance-related configurations.		Logs all changes to compliance configuration, per audit and change management needs.
Automated Exception Management Tracks and manages instances where compliance cannot be immediately achieved.		No information available

Transaction Throughput System's maximum number of transactions processed per second.		No information available
Latency Average time taken to process a transaction or request.		No information available
Indexing Option Support for flexible or automatic indexing to speed up searches.		Automatic table/indexing setup is available for query performance.
Resource Optimization Engine Automated allocation and reallocation of computing resources based on load.		Resource optimization is a highlighted feature in managed cloud deployments.
Load Balancing Ability to distribute workloads across nodes for higher performance.		System load balancing between nodes and across regions is built-in for performance and reliability.
Auto-tuning Automated adjustment of configuration parameters for optimal performance.		Self-optimizing/auto-tuning capabilities mentioned for managed cloud offerings.
Concurrent User Support Number of simultaneous users supported.		No information available
Throughput Monitoring Real-time tracking of system performance metrics.		Integrated performance dashboards provide throughput monitoring in real time.
Dynamic Scaling Ability to automatically scale resources up or down based on demand.		Supports dynamic scaling in response to workload spikes, both in IaaS and PaaS environments.
Bottleneck Detection Automated identification of performance bottlenecks.		Performance bottleneck analysis can be automated via workload analytics tools.

Single Sign-On (SSO) Support for unified authentication across multiple systems.		Single sign-on with major identity providers (AD, SAML, OAuth) is documented as a feature.
User Provisioning Automated creation and management of user accounts.		User provisioning can be automated via integrations with identity and access management (IAM) systems.
De-provisioning Automatic removal of access rights upon user departure.		Automatic de-provisioning is possible with policy, SSO, or IAM integration.
Self-service Password Reset Allows users to reset their passwords without admin intervention.		Password self-service and reset are available for cloud and managed environments.
Group and Role Management Organize users into groups with specific access levels.		Users/groups/roles are core user management constructs.
Access Request Workflow Automated process for users requesting additional access.		Workflow for elevated access request is configurable within user management portal.
Active Directory Integration Seamless integration with enterprise identity providers.		Integration with Active Directory and other corporate identity systems documented.
User Authentication Logs Logs of all authentication attempts.		Authentication attempts are logged for user and administrator accounts.
Privilege Escalation Alerts Automated alerts if user privileges change unexpectedly.		Privilege escalation alerts configurable through monitoring and SIEM integration.
User Profile Customization Allows individual customization of user interface or settings.		User interface personalization is available at the dashboard/report level.

Open Standards Support Compliance with widely adopted data and communication standards (e.g., ISO 20022).		Adheres to open standards (e.g., ISO 20022, per banking integrations).
Inter-bank Connectivity Support for connectivity with correspondent or partner banks.		Inter-bank and inter-system connectivity enabled via standards-based APIs and SWIFT.
Platform-agnostic APIs APIs are accessible regardless of the underlying operating system.		APIs are accessible regardless of cloud, OS, or deployment model.
XML/JSON Data Exchange Native support for structured data exchange formats.		XML and JSON supported as core exchange formats across APIs.
SWIFT Integration Compatibility with SWIFT messaging and protocols.		SWIFT connectivity/integration for banking payment and messaging is referenced on the financial services product page.
Plug-and-Play Modules Ability to easily add or remove functional modules.		Modular plug-and-play architecture advertised, with microservices and easy module integration/removal.
Third-party App Marketplace Ecosystem for external tools and solutions.		No information available
File Format Support Number of supported import/export file formats.		No information available
Service Mesh Integration Compatible with modern cloud-native service meshes.		Cloud-native deployments may optionally leverage service mesh for advanced environments (though not strictly required for analytics use case).
Legacy System Bridging Specialized connectors for outdated but still-critical systems.		Supports integration with legacy banking systems using custom and standard connectors.

Workflow Designer Graphical tools for building and modifying data and infrastructure workflows.		Visual and code-based workflow design present in orchestration modules.
Scheduled Jobs/Tasks Automation of routine tasks such as data refresh, backups, or reporting.		Scheduling jobs for ETL, analytics, reporting, and backup is available.
Process Monitoring Real-time visibility into running and completed automation workflows.		Monitoring and alerting for automation tasks and jobs available on admin dashboards.
Task Prioritization Ability to prioritize or sequence tasks according to business urgency.		Task sequencing/prioritization is configurable within workflow tools.
Event-driven Automation Trigger workflows based on external or system events.		Event-based triggers to initiate automation workflows can be defined.
Exception Handling Automated mechanisms to manage errors or workflow exceptions.		Exception handling rules supported in workflow engine to manage errors.
Workflow Version Control Track and revert to previous workflow configurations.		Workflow versions and rollback supported for safety and compliance.
User Approval Steps Insert mandatory human approval into automated workflows.		Approval processes can be inserted into automated scenarios with human-in-the-loop review.
Job Concurrency Limit Maximum number of simultaneous jobs supported.		No information available
Bot/Agent Integration Support for robotic process automation (RPA) or agent-based processing.		Integration with RPA/bot solutions possible; agent-based processing is possible via API/webhooks.

Multi-Source Data Connectivity Ability to connect and import data from diverse sources such as core banking systems, CRM, social media, transaction databases, etc.		Teradata Vantage offers connection to core systems, transaction databases, and CRM; documented support for diverse data sources.
Real-time Data Ingestion Capability to process and analyze data as it is generated, minimizing delays.		The platform advertises real-time analytics and streaming ingestion capabilities for financial institutions.
Batch Data Processing Support for larger scheduled imports of data sets.		Batch processing included for data warehousing and analytics workloads; cited in product literature.
APIs for Data Access Availability of APIs to facilitate integration with external or custom data sources.		Teradata provides APIs for external access, including REST and ecosystem connectors per documentation.
Automated Data Quality Checks System can automatically detect duplicates and errors in imported data.		Supports automated data profiling, quality checks, and cleansing, described in data management features.
ETL (Extract, Transform, Load) Capabilities Includes built-in ETL tools to prepare and transform data for analysis.		Built-in ETL tools for extract, transform, load; integrates with third-party ETL products.
Data Volume Capacity Maximum volume of data that can be integrated and processed efficiently.		No information available
Data Refresh Rate Frequency at which data can be updated in the analytical system.		No information available
Data Validation Rules Pre-built and customizable data validation rules.		Provides pre-built and customizable data validation as part of ETL/data integration suite.
Encryption During Data Transfer Ensures data is encrypted during transfer between systems.		Cloud platform encrypts all data in transit with TLS, meeting financial data transfer requirements.

Demographic Segmentation Segment customers based on demographic information such as age, income, occupation, etc.		Provides demographic segmentation features for banking customers (age, income, etc.)
Behavioral Segmentation Identify customer groups based on transaction patterns and behavior.		Supports behavioral segmentation based on transactions and customer interactions.
Custom Segment Creation Users can define and create custom segments with multiple filters and logic.		Bank users can define custom filters and segments via interface or analytics scripts.
AI-driven Segmentation Uses AI/ML algorithms to automatically discover and suggest segments.		AI/ML tools incorporated for automated segment discovery and campaign targeting.
Number of Segments Supported Maximum number of customer segments the system can handle simultaneously.		No information available
Loyalty and Profitability Segmentation Classifies customers based on loyalty or profitability scores.		Profitability/loyalty scores and analytics out of the box for FI/retail banking.
Segment Overlap Analysis Ability to identify and analyze overlapping members of different segments.		No information available
Dynamic Segment Updates Segments are automatically refreshed based on new data.		Dynamic updating of customer segments as new data arrives is supported via real-time data architecture.
Segment-driven Targeting Tools Enables marketing or outreach based on segment membership.		Platforms provides marketing and targeting capabilities based on segmentation.
Visualization of Segments Graphical representation and dashboarding of customer segments.		Visualization available via built-in dashboards and integrations with BI tools for segment reporting.

Predictive Analytics Capability to predict customer behaviors such as churn or product interest using advanced models.		Advanced predictive analytics is a key marketing feature, e.g., for churn, upsell.
Machine Learning Model Support Supports training, deployment, and use of machine learning models on customer data.		Supports in-database analytics and machine learning model management.
Customer Lifetime Value (CLV) Calculation Calculates the expected lifetime value of each customer.		CLV calculation available as financial customer analytics metric.
Attrition/Churn Prediction Uses analytics to forecast which customers are at risk of leaving.		Platform includes attrition/churn prediction modules for banking clients.
Next Best Action Recommendations Suggests optimal follow-up actions for each customer based on data.		Recommends next best actions using advanced analytics and ML models.
Propensity Modeling Models to estimate a customer's likelihood to buy or use a particular product.		Propensity models and algorithms are described in customer analytics solutions.
Sentiment Analysis Analyzes and reports on customer sentiment from multiple data points such as feedback, calls, or social media.		Sentiment analysis enabled through integration of social media/text data analytics.
Custom Analytics Models Users can upload or define their own mathematical/statistical models.		Data scientists can upload and run custom analytic/statistical models.
Speed of Analytics Processing Average time taken to run predefined analytical models on the full customer dataset.		No information available
Scenario Analysis Tools Test the impact of potential strategies or market conditions on customer analytics.		Includes scenario and what-if analysis tools for risk and customer analytics.

Interactive Dashboards Customizable dashboards with drill-down capability.		Offers dashboards with interactive, drill-down, and filtering options.
Exportable Reports Allows users to export reports in various formats (PDF, Excel, etc.).		Report export in multiple formats supported as standard (PDF, Excel, CSV).
Scheduled Reports Automatic generation and delivery of reports at regular intervals.		Reports can be scheduled for periodic delivery and generation.
Role-based Report Access Control which users have access to which reports.		Role/user-based report and dashboard permissions can be managed.
Custom Dashboard Templates Build and reuse dashboard designs across projects.		Offers dashboard templates for reuse across users and projects.
Visualization Types Supported Number of different visualization types (charts, graphs, heatmaps, etc.) available.		No information available
Ad-hoc Query Builder Create custom queries on customer data without coding.		Can build ad-hoc, code-free queries using UI or assisted tools.
Drill-down Capabilities View granular details from summaries within reports and dashboards.		Provides drill-down from summary to detail in dashboards and reports.
Automated Insights System automatically surfaces interesting trends, anomalies, or patterns.		Automated highlighting of outliers/trends/patterns using advanced analytics.
Sharing & Collaboration Tools Features for sharing dashboards and collaborating on reports.		Enables report/dashboard sharing and collaboration for teams, includes export and direct sharing.

24/7 Support Availability Round-the-clock technical and business support.		24/7 support offered, with global coverage.
Dedicated Account Manager Assigned contact for ongoing support and relationship management.		Dedicated account managers assigned for enterprise clients (industry standard for Teradata).
Onboarding Assistance Guided setup and implementation support for new clients.		Onboarding assistance provided in client success and implementation programs.
Comprehensive Documentation Depth and breadth of user and technical documentation provided.		Comprehensive docs provided on solutions portal and customer knowledge base.
Online Knowledge Base Self-service repository for FAQs, how-to guides, and troubleshooting.		Online knowledge base for support is standard for Teradata offerings.
Regular Product Training Webinars Scheduled online training sessions for users.		Regular webinars and product training sessions provided for user education.
In-person/Virtual Training Options Availability of classroom or live virtual training sessions.		Offers virtual and in-person training per support agreements.
Community Forums Peer support via active online community forums.		Teradata Community provides active forums for users.
SLA Guaranteed Response Time Support contract's maximum time to first response.		No information available
Custom Training Curricula Can provide organization-specific training programs.		Custom training and curricula available for enterprise and large financial clients as part of onboarding.

Personalized Offer Generation Automatically creates and delivers personalized offers based on analytics.		Personalized offer generation is available as part of campaign and customer experience analytics.
Real-time Recommendations Generates recommendations for customers in real time based on their behavior.		Real-time recommendation engine for cross-sell/upsell is cited for banking clients.
Multi-channel Personalization Supports personalization across channels (email, app, web, SMS, etc.).		Supports multi-channel journeys including email, web, and SMS.
A/B Test Management Supports running A/B tests to optimize recommendations and personalization strategies.		A/B testing module available in analytics suite for offer/recommendation optimization.
Recommendation Algorithm Selection Allows administrators to choose from multiple algorithms (collaborative filtering, content-based, etc.).		Admin interface allows selecting or configuring recommendation algorithms.
Personalization Rule Engine Lets users set business rules to govern personalization tactics.		Business rules engine supports personalized experiences and recommendations.
User Profile Enrichment Ability to augment customer profiles with external and behavioral data.		User profiles are enriched from transaction, credit, behavioral, and external data.
Personalization Performance Metrics Tracks how well personalization strategies perform (e.g., lift, conversion rate).		Includes analytics on performance of personalization, such as conversion rates.
Scalability of Recommendations Maximum number of customers who can receive personalized recommendations simultaneously.		No information available
Self-service Configuration Business users can configure personalization strategies without IT intervention.		Business users can configure strategies with self-service tools; no IT required for most personalization setup.

Data Encryption At Rest Customer data is encrypted when stored in the system.		Encrypts all stored customer data per industry security and compliance.
Role-based Access Control Granular permissions for different user roles and responsibilities.		Granular permissions and role-based access control are key security features.
Audit Logging Comprehensive tracking of all data access and manipulation activities.		Audit logs for access and change activity included due to financial compliance standards.
Data Masking & Anonymization Sensitive data elements can be masked or anonymized for analysis.		Masking/anonymization available for sensitive fields in analysis and reporting.
GDPR/CCPA Compliance Features to support compliance with regional privacy regulations such as GDPR or CCPA.		Advertises tools and certifications for GDPR, CCPA, and other regulatory compliance.
Automatic Security Updates System automatically applies patches and security updates.		Automatic and regular security updates via cloud deployments.
Penetration Testing Certification System is regularly tested for vulnerabilities and has certification.		No information available
Data Residency Controls Specify and enforce where customer data is physically stored.		Data residency controls are configurable to meet local regulatory needs.
Multi-Factor Authentication Requires additional authentication factors to access customer analytics.		Multi-factor authentication supported, as expected for banking and secure deployments.
Number of External Security Certifications Count of reputable third-party security certifications attained by the product.		No information available

Web-based Interface Accessible from modern web browsers without additional installation.		Accessible via modern browsers as a SaaS/cloud platform.
Mobile Access Usable from smartphones and tablets.		Mobile access via web and responsive dashboard tools.
Customizable Workspace Users can tailor dashboards, workflows, and notifications.		Customizable dashboards, workflows, and notifications included in UI.
Multi-language Support Interface can be displayed in various languages.		Supports multiple languages for global clients.
Accessibility Compliance Meets accessibility standards (WCAG, ADA, etc.) for users with disabilities.		No information available
User Onboarding/Tutorials Built-in guides and tutorials for fast learning.		Onboarding support and tutorials are provided as part of customer success.
User Satisfaction Score User-rated ease of use (out of 10).		No information available
Search and Navigation Tools Robust search capabilities and intuitive menu organization.		Modern search/navigation tools included in UI for enterprise data platforms.
Self-service Features Non-technical users can create and manage analytics tasks without IT help.		Self-service creation and management of analytics tasks highlighted in usability features.
Workflow Automation Automate repetitive tasks, such as report generation or alerts.		Workflow automation is core to reporting, alerting, and operational analytics.

Commenting on Reports/Dashboards Users can add notes or discuss insights directly within analytics tools.		No information available
Role and Permission-based Sharing Share data, reports, and dashboards securely based on user permissions.		Secure sharing based on user roles stated in product documentation.
Integration with Messaging Platforms Ability to share analytics artifacts directly into common business chat tools (Teams, Slack, etc.).		Integration with business collaboration tools is available for analytics sharing.
Collaborative Workspaces Multiple users can work together on analytics projects or dashboards.		Collaborative workspaces are available for analytics team projects.
Change Tracking & Version Control Track changes and revert to previous versions of reports or analyses.		Change tracking/version management described as feature in analytics reporting.
Notification and Alert System Team members are notified of new insights, anomalies, or required actions.		Automated notifications and alerts for insight delivery and anomalies.
Number of Simultaneous Collaborators How many team members can work together in real time on a single project.		No information available
Access Request Workflow Built-in mechanisms for users to request and be granted additional report or data access.		Built-in data access request workflows present for governance.
Scheduled Delivery to Distribution Lists Send reports and dashboards on a schedule to user groups.		Automated scheduled delivery to user groups described in reporting suite.
Export to Knowledge Repositories Push reports or insights to organizational repositories (SharePoint, Confluence, etc.).		Supports export to knowledge repositories like SharePoint and integrations with knowledge bases.

Open APIs APIs available for third-party system integration and automation.		Open APIs available for integration and automation, cited in technical documentation.
Plug-in or Add-on Support Developers can build and install extensions to the analytics product.		Plug-in and extension development supported via SDKs and platform APIs.
Pre-Built Integrations Out-of-the-box connectors to popular banking and marketing platforms.		Multiple pre-built integration connectors for core banking and marketing platforms.
Custom Script Execution Run custom business logic scripts within the tool (e.g., Python, R).		Advanced custom scripting (e.g., Python, R) supported within analytics workflows.
Webhook Support Integration with external workflow or event-based systems via webhooks.		Webhook-based integration described in platform technical guides.
Data Export Options Ability to export data into various file formats or external databases.		Multiple data export options built in, including external DB and file formats.
Integration Through iPaaS Solutions Works with integrator platforms such as MuleSoft, Dell Boomi, or Zapier.		iPaaS compatibility (e.g. with MuleSoft, Dell Boomi) is publicized.
Custom Object Model Support Ability to extend the system’s data model with custom objects or fields.		Custom object models and extensibility supported.
Scheduling of API Calls APIs can be scheduled to pull or push data at defined intervals.		APIs can be scheduled for workflows, as found in automation/integration reference.
Maximum API Call Rate Peak allowed frequency of API calls.		No information available

Concurrent User Support Maximum number of users who can be active simultaneously without performance degradation.		No information available
Data Storage Scalability System can scale data storage as required, up to a specified maximum.		No information available
Analytics Query Response Time Average response time for complex analytics queries.		No information available
Elastic Resource Allocation Dynamically allocate more computing resources as needed to meet analytic demand.		Can auto-scale compute resources in cloud to match changing analytic demand.
Performance Monitoring Tools Real-time and historic reporting on system performance.		Monitoring tools for performance, usage, and resource utilization built in.
High Availability (HA) Built-in features to ensure system uptime and resilience.		High availability architecture for uptime, with multi-cloud/region redundancy.
Disaster Recovery RTO Recovery Time Objective in minutes for catastrophic failures.		No information available
Disaster Recovery RPO Recovery Point Objective – age of backup data on recovery.		No information available
Scheduled Maintenance Windows Advance notification period before planned system maintenance.		No information available
Hot/Cold Data Archiving Automatic segregation and management of frequently and infrequently accessed data.		Supports automatic hot/cold storage tiering (frequently/infrequently accessed data).

Multi-source Data Integration Ability to connect to and aggregate data from multiple sources (core banking, ERP, CRM, cloud, third-party APIs).		Teradata Vantage for Banking supports integration with core banking, ERP, CRM, cloud, and third-party APIs; confirmed by Teradata documentation on multi-source connectivity.
Real-time Data Sync Capability to synchronize data in real time, enabling access to up-to-date information.		Product documentation describes real-time analytics and real-time data ingest capability, supporting real-time data sync.
Batch Data Processing Support for scheduled data imports/exports to handle large volumes.		Supports batch data processing as part of scalable analytics, per official Teradata product description.
Data Lake Compatibility Ability to ingest and work with data stored in data lakes.		Compatible with data lake and lakehouse architectures, as Teradata claims support for integrating and querying data from external data lakes.
ETL (Extract, Transform, Load) Tools Built-in tools for extracting, transforming, and loading data.		Teradata Vantage provides built-in ETL tools and workflows; this feature is often highlighted in their analytics ecosystem.
API Connectivity Availability of robust APIs for integration with external applications and services.		Robust and open APIs are a core part of platform extensibility, as indicated on Teradata's website.
Data Format Support Support for multiple data file formats (CSV, JSON, XML, Parquet, etc.).		The platform supports multiple file formats, including CSV, JSON, XML, Parquet as per Teradata documentation.
Data Quality Controls Tools for data cleansing, validation, and deduplication.		Data quality controls including cleansing and deduplication are highlighted in the platform’s advanced analytics/data integration sections.
Scalability Maximum volume of data supported in gigabytes or terabytes.		No information available
Data Refresh Frequency Minimum time interval for refreshing integrated data.		No information available

Automated Machine Learning (AutoML) Tools for automatically building, training, and tuning machine learning models.		Integrated AutoML capabilities are present, supporting automated model building, as per AI/ML solution pages.
Model Deployment Support for deploying ML models into production environments for real-time or batch inference.		ML models can be deployed into production for inference as part of the analytics pipeline, per product documentation.
Prebuilt AI Models Availability of prebuilt models for common banking use-cases (fraud detection, credit scoring, churn prediction).		Prebuilt AI models for fraud detection, credit scoring, etc. are part of the financial services suite.
Custom Model Development Ability to create and train custom AI/ML models using the platform.		Custom model development for AI/ML is available via integration with open-source tools and built-in capabilities.
Natural Language Processing (NLP) Support for processing and analyzing textual data using AI.		Teradata supports NLP and AI text analytics, especially for customer experience optimization and risk management.
Image and Document Classification AI-enabled tools for extracting information from images and documents.		Image and document analytics is supported through AI/ML tool integration and platform extensibility.
Model Training Speed Time taken to train a model on a standard dataset.		No information available
Model Accuracy Metrics Measurement of model's performance (AUC, F1, accuracy) on test data.		No information available
Model Monitoring Continuous monitoring of deployed model performance and drift.		Model monitoring and drift detection tools are referenced in the product's AI/ML management features.
Automated Model Retraining Built-in support for retraining models as new data arrives.		AutoML pipelines include automated model retraining based on new incoming data.
Explainable AI (XAI) Tools to interpret and explain AI-driven decisions to users.		Teradata’s Explainable AI tools support explainability and transparency in ML-driven decisions.

Customizable Dashboards Ability for users to build and customize their own dashboards.		The product offers customizable and interactive dashboards for all users.
Real-time Visualization Updates Dashboards automatically update as data changes.		Real-time visualization is supported as part of its in-database analytics and dashboard suite.
Multiple Chart Types Supports a variety of visualizations (bar, line, area, pie, heatmaps, etc.).		Multiple chart and visualization types are supported.
Drill-down Analytics Ability to drill down from summary overviews to granular data points.		Dashboards support drill-down from summaries to granular details.
Automated Report Generation Generates scheduled or on-demand reports from dashboards.		Automated and ad-hoc report generation are key features according to Teradata collateral.
Sharing and Collaboration Tools to enable sharing dashboards with internal/external users and annotation/commenting.		Dashboards and reports can be shared collaboratively inside and outside the organization.
Mobile Friendly Visualization Dashboards and reports accessible and optimized for mobile devices.		UI is accessible and optimized for mobile devices.
Visualization Latency Average time taken to render a dashboard after data change.		No information available
Export Options Ability to export charts and dashboards in various formats (PDF, Excel, Image).		Export to various formats (PDF, Excel, etc.) is available per standard BI functionality in Teradata Vantage.
Data Storytelling Ability to create data stories with narrative text, visualizations, and interactivity.		Advanced data storytelling and narrative reporting are included in the visualization toolset.

Predictive Modeling Support for statistical and machine learning models forecasting future outcomes.		Predictive modeling, including advanced ML and statistical forecasting, are advertised as core features.
What-if Analysis Enables users to test hypothetical scenarios and estimate their impact.		What-if analysis and scenario modeling are supported, designed for financial services use-cases.
Optimization/Recommender Engine Prescriptive analytics functionality offering optimal recommendations (e.g., product offers, asset allocation).		Optimization and recommender functions are discussed in the prescriptive analytics capability.
Scenario Planning Allows modeling of different scenarios to support business continuity and strategic planning.		Scenario planning tools are available.
Anomaly Detection Automatically detects unusual patterns or outliers, often with AI assistance.		AI-based anomaly detection is mentioned for fraud and risk analytics.
Forecasting Accuracy Average percentage accuracy of predictive forecasting models.		No information available
Time-to-prediction Average time from data input to availability of model prediction.		No information available
Automated Alerting Sends alerts or notifications based on predictive or prescriptive analytics outcomes.		The system supports alerting via configurable notifications on analytics outcomes.
Simulation Tools Built-in modules for simulating different business or market conditions.		Simulation modules are available, per product documentation for risk and financial modeling.
Integration with Decision Support Systems Can connect and feed outputs directly into operational decision tools or workflows.		Integrates with decision support systems and operational workflows.

Teradata Vantage for Banking from Teradata

Product analysis by function

Data Management for IT and Infrastructure

Data Integration (8 Yes /8 Known /10 Possible features)

Data Security (10 Yes /10 Known /10 Possible features)

Data Storage and Scalability (5 Yes /5 Known /10 Possible features)

Infrastructure Resilience (7 Yes /7 Known /10 Possible features)

Data Quality Management (10 Yes /10 Known /10 Possible features)

Analytics and Reporting (9 Yes /9 Known /10 Possible features)

Compliance and Regulatory Features (8 Yes /8 Known /10 Possible features)

System Performance and Optimization (7 Yes /7 Known /10 Possible features)

User and Identity Management (10 Yes /10 Known /10 Possible features)

Interoperability and Open Standards (8 Yes /8 Known /10 Possible features)

Automation and Workflow Management (9 Yes /9 Known /10 Possible features)

Customer Analytics for Analytics and Business Intelligence

Data Integration (8 Yes /8 Known /10 Possible features)

Customer Segmentation (8 Yes /8 Known /10 Possible features)

Advanced Analytics & Insights (9 Yes /9 Known /10 Possible features)

Data Visualization & Reporting (9 Yes /9 Known /10 Possible features)

Personalization & Recommendation Engines (9 Yes /9 Known /10 Possible features)

Security & Compliance (8 Yes /8 Known /10 Possible features)

User Experience & Usability (8 Yes /8 Known /10 Possible features)

Collaboration & Sharing (8 Yes /8 Known /10 Possible features)

Integration & Extensibility (9 Yes /9 Known /10 Possible features)

Scalability & Performance (4 Yes /4 Known /10 Possible features)

Support & Training (9 Yes /9 Known /10 Possible features)

Advanced Analytics and AI for Analytics and Business Intelligence

Data Integration and Connectivity (8 Yes /8 Known /10 Possible features)

AI/ML Modeling and Automation (9 Yes /9 Known /11 Possible features)

Visualization and Dashboarding (9 Yes /9 Known /10 Possible features)

Predictive and Prescriptive Analytics (8 Yes /8 Known /10 Possible features)

Security and Compliance (9 Yes /9 Known /10 Possible features)

User Experience and Usability (8 Yes /8 Known /10 Possible features)

Collaboration and Workflow (10 Yes /10 Known /10 Possible features)

Deployment and Scalability (7 Yes /7 Known /10 Possible features)

Extensibility and Customization (9 Yes /9 Known /10 Possible features)

Operational Performance and Monitoring (9 Yes /9 Known /10 Possible features)

Support and Vendor Services (8 Yes /8 Known /10 Possible features)

Data Integration
(8 Yes /8 Known /10 Possible features)

Data Security
(10 Yes /10 Known /10 Possible features)

Data Storage and Scalability
(5 Yes /5 Known /10 Possible features)

Infrastructure Resilience
(7 Yes /7 Known /10 Possible features)

Data Quality Management
(10 Yes /10 Known /10 Possible features)

Analytics and Reporting
(9 Yes /9 Known /10 Possible features)

Compliance and Regulatory Features
(8 Yes /8 Known /10 Possible features)

System Performance and Optimization
(7 Yes /7 Known /10 Possible features)

User and Identity Management
(10 Yes /10 Known /10 Possible features)

Interoperability and Open Standards
(8 Yes /8 Known /10 Possible features)

Automation and Workflow Management
(9 Yes /9 Known /10 Possible features)

Data Integration
(8 Yes /8 Known /10 Possible features)

Customer Segmentation
(8 Yes /8 Known /10 Possible features)

Advanced Analytics & Insights
(9 Yes /9 Known /10 Possible features)

Data Visualization & Reporting
(9 Yes /9 Known /10 Possible features)

Personalization & Recommendation Engines
(9 Yes /9 Known /10 Possible features)

Security & Compliance
(8 Yes /8 Known /10 Possible features)

User Experience & Usability
(8 Yes /8 Known /10 Possible features)

Collaboration & Sharing
(8 Yes /8 Known /10 Possible features)

Integration & Extensibility
(9 Yes /9 Known /10 Possible features)

Scalability & Performance
(4 Yes /4 Known /10 Possible features)

Support & Training
(9 Yes /9 Known /10 Possible features)

Data Integration and Connectivity
(8 Yes /8 Known /10 Possible features)

AI/ML Modeling and Automation
(9 Yes /9 Known /11 Possible features)

Visualization and Dashboarding
(9 Yes /9 Known /10 Possible features)

Predictive and Prescriptive Analytics
(8 Yes /8 Known /10 Possible features)

Security and Compliance
(9 Yes /9 Known /10 Possible features)

User Experience and Usability
(8 Yes /8 Known /10 Possible features)

Collaboration and Workflow
(10 Yes /10 Known /10 Possible features)

Deployment and Scalability
(7 Yes /7 Known /10 Possible features)

Extensibility and Customization
(9 Yes /9 Known /10 Possible features)

Operational Performance and Monitoring
(9 Yes /9 Known /10 Possible features)

Support and Vendor Services
(8 Yes /8 Known /10 Possible features)

Role-based Access Control (RBAC) Ability to assign permissions based on user roles.		Platform offers RBAC to control feature and data access.
Data Encryption Encryption of data at rest and in transit per industry standards.		Offers encryption of data both at rest and in transit as per industry best practices.
Audit Trails Comprehensive logs tracking user and system activity for compliance and troubleshooting.		Audit trails and comprehensive logging are standard components for compliance.
Single Sign-On (SSO) Supports authentication via SSO protocols (SAML, OAuth, etc.).		Supports enterprise SSO for centralized user authentication.
GDPR/CCPA Compliance Built-in features to meet data privacy laws (GDPR, CCPA, etc.).		Platform enables support for data privacy compliance, including GDPR/CCPA.
Data Masking Ability to obscure sensitive data from unauthorized users.		Data masking functionality is provided to protect sensitive fields from unauthorized access.
User Activity Monitoring Monitor and alert on suspicious or unauthorized user activity.		User activity monitoring is included as part of security and compliance modules.
Data Retention Policies Configurable data retention and deletion schedules.		Enables data retention policy configuration for compliance.
Multi-factor Authentication (MFA) Extra layer of login security using additional verification methods.		Supports MFA to enhance login security.
Penetration Testing Frequency How often security penetration tests are conducted.		No information available

Self-service Analytics Business users can independently create and modify analyses and reports.		Self-service analytics are in focus with business-user centric design.
Intuitive Interface User-friendly and consistent UI/UX design for all user levels.		Product emphasizes intuitive design suitable for users across skill levels.
Guided Analytics Guided experiences, tutorials, and tooltips to help users navigate analytics workflows.		Features guided analytics, tutorials, and contextual support.
Accessibility Compliance Complies with accessibility standards (e.g., WCAG, ADA) for users with disabilities.		Complies with major accessibility standards (as stated in Teradata documentation).
Search and Recommendation Engine Search for data, reports, and recommendations using natural language.		Natural language search and recommendation capabilities are part of the analytics interface.
Customization Level Degree of customization allowed for dashboards, reports, and visual elements.		No information available
Average User Onboarding Time Time required for a new user to learn and start using the platform productively.		No information available
Multi-language Support UI and documentation available in multiple languages.		Multi-language support is available for the platform UI.
Mobile App Availability Native mobile application for iOS and Android.		Mobile apps for iOS and Android are available as per the Teradata Vantage offering.
Personalized Dashboards Each user can personalize their dashboard to match preferences.		Dashboard personalization is a promoted feature for business users.

Integrated Collaboration Tools In-platform chat, comments, and annotation features.		Embedded collaboration tools are available for commenting and workflow.
Version Control for Reports Track and revert to previous versions of reports and dashboards.		Version control for dashboards and reports is supported in the analytics suite.
Workflow Automation Automate business processes, task assignments, and approvals within analytics.		Workflow automation is integrated, including task routing and approvals.
Notification Center Centralized alerts and update notifications for analytics events.		Centralized notification center is available for analytics alerts and updates.
Scheduled Report Distribution Automatically distribute scheduled reports to users or groups.		Scheduled report distribution is highlighted as a key function.
Third-party Collaboration Integrations Integration with external collaboration platforms (Slack, Teams, email, etc.).		Integrates with collaboration platforms like Teams, Slack, and email.
Approval Workflows Route insights, reports, or analytics outputs for approval before dissemination.		Supports approval workflows in analytics output delivery.
Task Assignment Capabilities Assign data tasks or follow-ups directly from within the product.		Facilitates assignment of data-related tasks within the suite.
External Stakeholder Sharing Can securely share analytics with users outside the organization.		Secure sharing to external stakeholders is available.
User Activity Tracking Track collaboration actions for audit and improvement purposes.		User activity in collaboration is tracked for auditing.

Cloud Deployment Option Platform can be deployed and managed in the public or private cloud.		Cloud deployment is a principal deployment pattern.
On-premises Deployment Option Platform supports deployment on internal servers.		On-premises deployment options are available as per hybrid and private cloud options.
Hybrid Deployment Option Supports geographically distributed or hybrid cloud/on-premises setups.		Hybrid deployment including geo-distributed and hybrid cloud/on-premises supported.
Elastic Scalability Ability to automatically scale infrastructure and capacity up or down.		Elastic scalability is highlighted due to Teradata's multi-cloud and auto-scaling infrastructure.
Load Handling Capacity Maximum concurrent users supported without performance degradation.		No information available
Multi-tenant Architecture Ability to securely support multiple organizations on the same platform.		Multi-tenant support is included for securely serving multiple clients.
Data Residency Control Admins can specify geographic or jurisdictional location for stored data.		Supports location-based data residency per compliance requirements.
Uptime / Availability SLA Percentage uptime or availability commitment in service level agreements.		No information available
Automated Disaster Recovery Built-in tools for backup, failover, and recovery.		Automated disaster recovery and backup/failover are highlighted in cloud product literature.
Deployment Time Average time needed to deploy the platform in a production environment.		No information available

Custom Plugin/Extension Framework Allows users or partners to develop and deploy custom extensions or connectors.		Plugin/extension framework is available for platform extensibility.
Open API Access Comprehensive, documented APIs for system integration and workflow automation.		Open and well-documented API access is a feature for system integrators.
Scripting/Programming Support Support for scripting or coding custom analytics (e.g., Python, R, SQL).		Supports scripting in Python, R, and SQL for custom analytics.
Custom Branding Ability to rebrand the analytics solution with the bank’s look and feel.		Custom branding is available for white-label/enterprise deployment scenarios.
Custom Workflow Support Enable creation of tailored workflows for bank-specific processes.		Custom workflow tools are part of platform extensibility.
Marketplace Ecosystem Access to a marketplace of prebuilt connectors, modules, and add-ons.		Marketplace of connectors and add-ons exists for Teradata Vantage.
Embedded Analytics Analytics modules can be embedded into other bank applications or portals.		Embedded analytics modules for integration into other applications.
Customization Documentation Quality Quality and comprehensiveness of developer guides for customization.		No information available
Custom Report Templates Ability to create and manage custom template reports.		Custom report templates are described in product guides.
Support for AI Model Import/Export Supports importing and exporting external AI/ML models.		Supports import/export of ML models in standard formats.

System Performance Dashboards Centralized dashboards showing system health, availability, response times, etc.		System health and performance dashboards are provided.
Resource Utilization Metrics Track CPU, memory, and storage consumption of the analytics platform.		Metrics for resource utilization are included for platform admins.
Latency Monitoring Measure and report on query, model, and visualization latency.		Latency monitoring is an included platform capability.
Error and Exception Logging Detailed logs and tools for tracking, diagnosing, and fixing platform errors.		Detailed error and exception logs for troubleshooting.
Automated Scaling Automatically adjust resources based on usage metrics.		System supports automated (dynamic) scaling as cloud usage increases.
Usage Analytics Insights and metrics on how users engage with features and content.		Platform usage analytics are available for user engagement tracking.
Uptime Monitoring Automated tracking of system uptime.		Uptime monitoring is a built-in administrative feature.
Alerting on Thresholds Send alerts based on resource usage or operational thresholds.		Resource and operational threshold-based alerts are configurable.
Mean Time to Resolve (MTTR) Average time spent to resolve technical/platform incidents.		No information available
Maintenance Window Scheduling Ability to schedule and communicate planned maintenance events.		Maintenance window scheduling available to coordinate planned downtime.

24/7 Support Availability Support is available at all times, worldwide.		24/7 global support is highlighted in Teradata service plans.
Dedicated Account Manager A specific person is assigned to manage relationship and support.		Dedicated account managers are assigned for enterprise clients.
Onboarding and Training Programs Comprehensive training materials and onboarding for new users.		Comprehensive onboarding and training are part of platform adoption.
User Community and Forums Access to online community and self-service peer support.		Active user community and support forums exist for Teradata products.
Professional Services Availability of expert services for implementation, customization, and data migration.		Professional services are available for implementation and support.
Knowledge Base Quality The comprehensiveness and up-to-dateness of platform documentation.		No information available
SLA Response Time Guaranteed initial response time for support requests.		No information available
Multi-channel Support Support available via phone, chat, email, and ticketing system.		Multiple support channels (phone, chat, email, tickets) are offered.
Customer Success Resources Dedicated resources to ensure successful product adoption and value.		Customer success teams/resources dedicated for major clients.
Feedback and Feature Request Mechanism Users can easily submit feedback and request new features.		Feedback and feature request mechanisms are available to users.