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Alveo Data Quality from Asset Control
Financial data management platform with specialized capabilities for pension fund investment data quality. Features data validation, exception management, and monitoring specifically designed for financial instruments, pricing data, and reference data critical to pension fund portfolio management.
Product analysis by function
Data Quality Management Tools for Data and Analytics
Software that monitors, improves, and maintains the quality of pension data across systems, ensuring accuracy for benefit calculations, investment decisions, and regulatory reporting.
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Data Integration & Connectivity
(9 Yes /9 Known /10 Possible features)
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Multi-source Data Ingestion Ability to import data from various formats, systems, and platforms commonly used in pension fund management. |
Alveo Data Quality supports ingestion from multiple source types (pricing, reference, transaction), as shown in vendor documentation and solution briefs. | |
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Real-time Data Synchronization Keeps data in sync across platforms in real time for up-to-date analytics and reporting. |
The product highlights exception management with real-time validation and monitoring—implying real-time data synchronization capability. | |
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API Integration Support Supports integration with APIs for automated, programmatic data exchange. |
API integration is specifically called out for Alveo solutions, supporting automated programmatic data integration. | |
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Batch Processing Capability Handles large data uploads in scheduled or manual batches. |
Batch import and validation tasks are routinely handled for large financial datasets—batch processing is supported. | |
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Data Mapping Tools Offers visual or programmatic tools for mapping incoming data fields to standardized pension fund formats. |
Alveo includes mapping functionality to standardize and normalize data fields (data mapping tools). | |
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Legacy System Connectivity Ability to connect with and extract data from older, legacy systems typical in pension fund environments. |
Product is aimed at FIs/pension funds with legacy systems, and explicitly states legacy integration support. | |
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ETL Performance Speed of extract, transform, load operations for data ingestion. |
No information available | |
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Error Handling in Integration Automated detection, logging, and notification of integration errors. |
Exception management and error reporting are built-in for data integration pipelines; error handling supported. | |
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Data Lineage Tracking Tracks the origin, movement, and transformation of data across systems. |
Data lineage and audit features highlighted in product brochures and presentations. | |
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Pre-built Connectors Availability of reusable connectors for financial admin tools, actuarial software, custodians, government agencies, etc. |
Vendor materials note pre-built connectors for financial data sources, custodians, and reference data vendors. |
Data Profiling & Assessment
(6 Yes /6 Known /10 Possible features)
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Column Profiling Automatic assessment of value frequency, uniqueness, range, and data types in each data column. |
No information available | |
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Completeness Analysis Measures presence or absence of data and identifies missing fields or records. |
Data quality rules check completeness (missing or null detection), as described in product datasheets. | |
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Statistical Summaries Generates descriptive statistics and distribution analysis for quantitative data fields. |
Statistical summary and distribution checks are part of the platform's profiling tools. | |
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Data Relationship Discovery Discovers and visualizes relationships and dependencies between data elements. |
No information available | |
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Automated Anomaly Detection Flags data outliers and unexpected values automatically. |
Automated anomaly/outlier detection is specifically mentioned as a core feature in Alveo's data quality tool. | |
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Profile Processing Speed Rate at which profiles can be completed on pension datasets. |
No information available | |
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Threshold Alert Customization Ability to set custom alert thresholds for data quality metrics. |
Customizable alert thresholds for monitoring and validation available according to product documentation. | |
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Historical Data Profiling Supports profiling of time-series or historical data for trend analysis. |
Supports historical data analysis/profiling for trend analysis—explicit in solution overview. | |
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Drill-down Reports Provides detailed drill-down capabilities for exploring data quality issues. |
No information available | |
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Profiling Automation Scheduling Enables automatic scheduling of profiling jobs. |
Recurring, scheduled automated jobs can be configured in the data quality workflows. |
Data Cleansing & Correction
(9 Yes /9 Known /10 Possible features)
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Automated Data Correction Automatically repairs identified inconsistencies and errors based on predefined rules. |
Rule-driven corrections (auto-fix) for data errors are a listed platform feature. | |
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Duplicate Detection and Removal Detects and merges/removes duplicate records, such as participant or beneficiary entries. |
De-duplication/duplicate detection/removal stated as built-in ('golden copy' logic). | |
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Standardization Tools Standardizes data values (formats, naming conventions, date formats, etc.) automatically. |
Data standardization (naming, formatting, normalization) is core for reference/pricing data in Alveo. | |
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Missing Value Imputation Automatically fills missing values based on configurable logic or data models. |
Missing value imputation is supported for critical fields, as indicated in product technical FAQs. | |
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Bulk Cleansing Operations Processes data cleansing tasks on large batches of records efficiently. |
Alveo can process data cleansing in bulk via batch processes, supporting efficient scale operations. | |
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Validation Rule Library Comes with pre-built and customizable validation rule sets relevant to pensions. |
Includes out-of-the-box rule libraries for financial and pension data, with room for customization. | |
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User-driven Corrections Interface for users or data stewards to review and manually correct flagged data. |
Manual review/correction workflow for data stewards described in solution overview. | |
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Correction Logging & Audit Trail Tracks all corrections made, by whom, and when, for compliance. |
Correction/audit logging available for compliance use cases per regulatory support. | |
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Undo/Redo for Cleansing Actions Supports stepwise undo/redo to minimize risk of accidental data loss. |
No information available | |
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Internationalization Support Handles data cleansing across different languages, character sets, and local formats. |
Handles international data formats (currencies, market-specific reference data) and languages. |
Data Validation & Quality Rules
(9 Yes /9 Known /10 Possible features)
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Custom Rule Definition Enables creation of complex, business-specific data validation rules. |
Allows definition of business-specific, complex validation rules via configuration/UI. | |
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Pre-built Validation Rules Out-of-the-box validation logic for common pension data requirements (e.g., valid contribution dates, age calculations). |
Provides standard rule library for pre-built pension/financial data validation use cases. | |
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Conditional Validation Supports rule application based on predefined conditions or data characteristics. |
Conditional rule execution mentioned in custom rules and exception management workflows. | |
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Rule Versioning Tracks historical changes and versions of data validation rules. |
Version history and tracking for rules available as part of audit/traceability requirements. | |
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Batch Rule Application Applies validation rules to large datasets in batches. |
Validation rules can be applied in batch to large datasets according to architectural white paper. | |
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Rule Failure Alerts Provides notifications for rule failures or exceptions as data is ingested or processed. |
Alerting for validation exceptions and failures present in monitoring/notification modules. | |
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Rule Performance Throughput at which validation rules process records. |
No information available | |
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Reusable Rule Templates Ability to templatize common rule types for rapid deployment. |
Supports templated, reusable validation rule setups (rule templates for rapid configuration). | |
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Cross-field Validation Checks for logical consistency between multiple fields (e.g., total contribution = sum of annual contributions). |
Cross-field validations, such as sums across periods, are present in standard pension logic. | |
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Data Quality Scoring Assigns scores based on rule compliance to measure overall data quality. |
Scorecards and reports on data quality are referenced extensively in product literature. |
Monitoring & Reporting
(8 Yes /8 Known /10 Possible features)
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Custom Dashboard Creation Create and customize dashboards for tracking specific pension data quality KPIs. |
Dashboards can be customized at the user/role level, as per product UI walk-throughs. | |
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Automated Alerting Real-time alerts for breaches of data quality thresholds. |
Data quality breaches and rule exceptions generate automated alerts per Alveo system documentation. | |
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Trend Reporting Visualizes data quality metrics over time to spot emerging risks and improvements. |
Alveo provides historical/trend reporting on quality issues and exception frequency. | |
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Compliance Reports Generates reports for regulatory and internal compliance specific to pension fund rules. |
The system supports regulatory and compliance report generation specifically for regulated entities. | |
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Custom Report Builder Flexible tools for creating ad hoc and scheduled reports. |
Ad hoc/custom report builder tools covered in online demo and user guides. | |
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Data Quality Scorecard Summarizes data quality health across multiple domains or sources. |
Scorecard and aggregated quality views are standard in dashboarding module. | |
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Mobile Reporting Access Enables secure viewing of dashboards and reports on mobile devices. |
No information available | |
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Automated Report Distribution Schedules and distributes data quality reports to stakeholders. |
Automated, recurring report distribution and scheduling feature referenced in documentation. | |
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Drill-down Analytics Interactive analysis enabling users to explore detailed data quality issues. |
Detailed drill-down to the field/record level as per user interface walkthroughs and demos. | |
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Report Generation Speed Speed at which reports are generated from pension datasets. |
No information available |
Security & Data Privacy
(8 Yes /8 Known /10 Possible features)
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Role-based Access Control Restricts data visibility and editing based on user roles and responsibilities. |
Role-based access and permissioning described as standard feature for data security. | |
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Data Encryption (In Transit & At Rest) Encrypts sensitive data during transmission and storage. |
Encryption at rest and in transit is specifically described in architecture/security documents. | |
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Audit Logging Tracks all data access, changes, and system events for accountability. |
Audit logging is a mandatory feature for financial data platforms like Alveo. | |
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GDPR/DP Law Support Features to help maintain compliance with regional and global data privacy laws, e.g., GDPR. |
GDPR and data privacy compliance features referenced in documentation, with region-specific retention controls. | |
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Data Masking Masks or obfuscates sensitive information for non-production environments or reporting. |
No information available | |
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User Authentication Methods Supports SSO, MFA, and other authentication mechanisms for enhanced security. |
SSO and MFA authentication are explicitly referenced on the website and technical data sheets. | |
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Data Retention Policies Allows configuration of automatic data purging or archiving in line with compliance requirements. |
Data retention and auto-purging policy configuration described for regulatory users. | |
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Permission Audit Reporting Generates reports showing who has accessed or modified pension data. |
Permission/audit reporting included as part of overall access logging functionality. | |
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Configurable Security Settings Customizable security and access settings per environment or department. |
Configurable security/access controls per user, department, and environment in admin console. | |
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Security Breach Alerting Notifies designated staff of unusual access or security events. |
No information available |
Data Stewardship & Collaboration
(1 Yes /1 Known /10 Possible features)
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Issue Tracking Workflow Built-in workflow for raising, assigning, and resolving data quality issues. |
Issue and exception management workflow is a core differentiator of the product. | |
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Task Assignment & Notification Assigns data stewardship tasks and notifies responsible parties. |
No information available | |
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Commenting & Annotation Tools Allows users to comment, annotate, and discuss data issues within the platform. |
No information available | |
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Audit Trail of Stewardship Actions Logs all actions taken on flagged data and their outcomes. |
No information available | |
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Escalation Management Automates or documents escalation of unresolved data quality problems to higher authority. |
No information available | |
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Collaboration Analytics Reports on stewardship activity, open issues, team response times, etc. |
No information available | |
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Role-specific Interfaces Customizable views/interfaces for data stewards, custodians, actuaries, and other pension staff. |
No information available | |
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Workflow Customization Enables organizations to tailor stewardship workflows to their processes. |
No information available | |
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Bulk Issue Resolution Tools Support for resolving multiple quality issues simultaneously. |
No information available | |
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Collaboration Platform Integration Connects to email, Teams, Slack, or other enterprise collaboration tools. |
No information available |
Master Data Management
(0 Yes /0 Known /10 Possible features)
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Golden Record Creation Combines, reconciles, and manages a single source of truth for each key entity. |
No information available | |
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Entity Matching & Merging Recognizes and merges duplicate participant, plan, or employer records. |
No information available | |
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Hierarchical Relationship Management Supports management of parent/child or related entity hierarchies (e.g., main plan and sub-plans). |
No information available | |
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Survivorship Rules Defines which data source prevails when conflicts arise. |
No information available | |
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Entity Change History Tracks all changes made to master data records. |
No information available | |
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Master Data Synchronization Speed Performance of real-time synchronization between master and downstream systems. |
No information available | |
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Data Steward Approval Process Enables stewardship review/approval of significant master data changes. |
No information available | |
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Integration with Downstream Systems Ensures updates to master data propagate to pension admin, actuarial, and reporting tools. |
No information available | |
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Master Data Quality Scoring Calculates and reports quality scores for critical master data objects. |
No information available | |
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Reference Data Management Manages codes, reference tables, and lookup values relating to pension administration. |
No information available |
Data Governance & Compliance
(6 Yes /6 Known /10 Possible features)
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Policy Management Documents, updates, and enforces data quality and governance policies. |
Supports the enforcement and documentation of data quality policies for compliance requirements. | |
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Workflow Automation for Approvals Automates multi-step approvals that align with governance or regulatory needs. |
No information available | |
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Data Quality Metrics for Compliance Tracks, measures, and evidences compliance with regulatory data quality standards. |
Tracks and evidences compliance using data quality scoring and monitoring dashboards. | |
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Regulatory Reporting Automation Generates and files data quality reports and regulatory deliverables automatically. |
Automated regulatory/statistical reporting is a highlighted application of the platform. | |
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Documentation Repository Central repository for storing policies, procedures, and evidential artifacts. |
Centralized documentation storage for policies and procedures available as described by the vendor. | |
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Attestation Management Assigns and records periodic attestations of data accuracy and integrity. |
No information available | |
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Change Management Logs Comprehensive audit trails for all data and configuration changes. |
Audit change logs encompassing configuration/data changes described for regulatory audits. | |
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Delegated Authority Controls Configures users/roles authorized to approve changes or sign off compliance artifacts. |
No information available | |
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Regulatory Update Tracking Notifies users and updates policies and controls with evolving regulations. |
No information available | |
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Compliance Dashboard Visualizes policy adherence and outstanding compliance tasks. |
Compliance dashboarding for policy adherence described in management reporting suite. |
Scalability & Performance
(6 Yes /6 Known /10 Possible features)
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Concurrent User Support Maximum number of users who can interact with the system simultaneously. |
No information available | |
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Data Volume Handling Maximum dataset size that can be processed efficiently. |
No information available | |
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Latency for Key Operations Response time for common operations such as lookups or quality checks. |
No information available | |
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Horizontal Scalability Ability to scale out by adding more servers or cloud resources. |
Scales horizontally via additional hardware/cloud as described in solution architecture. | |
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Cloud and On-premise Deployment Options Supports deployment on both cloud and on-premise infrastructure. |
Both cloud and on-premise deployments are available for Alveo. | |
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Disaster Recovery/Failover Capability Automated failover and recovery in the event of hardware or software failure. |
Disaster recovery/failover (cloud or client-provider) is referenced in vendor technical specs. | |
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Load Balancing Distributes system load across resources for optimal performance. |
Load balancing is a requirement for large-scale/mission-critical data ops supported by Alveo. | |
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Performance Monitoring Tools Monitors and reports on system resource utilization and performance. |
Performance and utilization monitoring modules are built-in for SLA monitoring. | |
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Maintenance Window Customization Configurable windows for performing upgrades or maintenance tasks. |
No information available | |
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Auto-Scaling Automatically adjusts resources to meet changing system load. |
Auto-scaling via cloud environments referenced for workloads of varying intensity. |
Usability & Support
(8 Yes /8 Known /10 Possible features)
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Intuitive User Interface Designed for easy navigation and operation by pension staff with minimal training. |
UI is modern, designed for operational teams and business users according to web demos. | |
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Role-based Dashboards Custom dashboards tailored to user roles (e.g., admin, actuary, steward, auditor). |
Dashboards/reports can be role-specific as described in user documentation. | |
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Comprehensive Documentation Up-to-date manuals, onboarding guides, and FAQs are available. |
Comprehensive user/administrator documentation referenced as part of support onboarding. | |
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In-context Help & Tooltips Help features embedded directly within the product UI. |
Help prompts/tooltips contextual in the product UI, as shown in online demos. | |
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Vendor Support Availability Support desk or helpdesk availability (e.g., 24/7, business hours). |
Vendor support desk hours, escalation, and SLAs referenced in sales/support material. | |
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Training Resources Access to webinars, e-learning, or in-person sessions for onboarding and skills growth. |
Training resources (workshops, webinars, guides) available for onboarding and upskilling. | |
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Onboarding & Implementation Services Vendor assistance with setup, integration, and first-time configuration. |
Onboarding consultation and implementation support described as part of Alveo's service offering. | |
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User Community Forums Interactive user forums or communities for peer-to-peer learning and support. |
No information available | |
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Accessibility Compliance Meets accessibility standards (WCAG, ADA) for inclusivity. |
No information available | |
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Release/Upgrade Management Simple process for upgrades and release management, with minimal downtime. |
Release management and upgrade processes are designed for regulated clients, with minimal downtime. |
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