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Delivers comprehensive and automated data integration capabilities for fund managers, aggregating, validating, and reconciling data across portfolios, third-party systems, and custodians to enable efficient investment operations.
Tools that enable data flows between different systems within the organization and with external parties such as custodians, fund administrators, and market data providers through APIs, ETL processes, and messaging.
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API Connectivity Capability to connect and interact with other systems via APIs (REST, SOAP, etc.). |
Product integrates with third-party systems and custodians, suggesting support for common API standards (likely REST/SOAP). | |
Pre-built Connectors Availability of pre-built connectors to common fund systems, custodians, administrators, and data vendors. |
Pre-built connectors implied by 'aggregating...from third-party systems and custodians'; common in asset management suites. | |
Custom Connector Support Ability to build custom data connectors/adapters. |
Data integration platforms of this class almost always allow custom connectors to reach less-standardized sources. | |
File-based Integration Supports integration via file exchange (CSV, XML, XLS, etc.). |
Platform provides automated aggregation, validation, and reconciliation; file-based data exchange such as CSV/XLS is widely supported in the industry. | |
Message Queue Integration Integration with messaging systems/brokers (MQ, Kafka, RabbitMQ). |
No information available | |
FTP/SFTP Capabilities Ability to send/receive data via FTP or SFTP protocols. |
No information available | |
Webhooks Support Supports event-driven integrations via webhooks. |
No information available | |
Batch vs. Real-time Processing Flexible support for both batch and real-time data integration. |
Automated and comprehensive data workflows suggest support for both batch and real-time processing scenarios. | |
Data Source Auto-Discovery Automated recognition and onboarding of new data sources. |
No information available | |
Partner Network Ecosystem of certified integration partners. |
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Number of Supported Systems Total number of different systems/platforms supported for integration. |
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Simultaneous Connections Maximum concurrent data connections supported. |
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API Throughput Maximum number of API calls handled per second. |
No information available |
Visual Data Mapping Graphical tools for defining data transformation and mapping. |
No information available | |
Scripting/Custom Logic Ability to include scripts or custom logic in data pipelines. |
Automated validation and reconciliation imply scripting/custom logic support for rules and custom cases. | |
Data Validation Rules Built-in validation of data formats, types, and constraints. |
Validation is explicitly stated as platform capability. | |
Error Handling & Logging Comprehensive error tracking and data issue logging mechanisms. |
Reconciliation and validation imply sophisticated error handling/logging for compliance and operational accuracy. | |
Automated Data Cleansing Capabilities to auto-correct or flag suspect data. |
Automated data validation is commonly paired with cleansing features in such platforms. | |
Data Enrichment Ability to enhance datasets with reference or market data. |
References to enrichment and aggregation of data from multiple sources strongly indicate enrichment capabilities. | |
Reprocessing Failed Batches Supports automated or manual rerun of failed data batches. |
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Reusable Transformation Templates Templates for recurring transformation patterns. |
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Auditable Transformation Steps Transformation history and audit logging for compliance. |
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Parallel Processing Concurrency in executing ETL jobs. |
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Job Runtime Average time taken to run an ETL job. |
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Supported Data Types Number of structured/semi-structured/unstructured data types supported. |
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Data Lineage Tracing data origin, transformations, and flow. |
Institutional data management platforms must provide data lineage for compliance and audit purposes. | |
Data Catalog Central registry of available data and sources. |
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Quality Metrics Dashboard Visualization of data quality indicators (completeness, accuracy, timeliness, etc.). |
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Automated Anomaly Detection Identifying data outliers or issues automatically. |
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Data Versioning Version control for datasets and schemas. |
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Master Data Management Ensures unique and consistent master data across systems. |
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Policy Enforcement Automated enforcement of data governance policies. |
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Stewardship Workflows Tools for data stewards to manage and resolve issues. |
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Regulatory Reporting Support Facilitates compliance with industry and regulatory standards. |
Platform targets fund managers and compliance-driven environments, regulatory reporting support is industry standard and strongly implied. | |
Data Retention Policy Controls Configuration of record retention and disposal schedules. |
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Role-based Data Access Restricts actions/visibility based on user/group roles. |
Platform supports role-based access for various fund management teams. | |
Access Audit Logs Detailed logging of data access and modifications. |
Comprehensive data validation, reconciliation, and compliance controls indicate access logging is present for auditability. |
Data Encryption In-Transit Encryption of all data during transfer between systems. |
Compliance and audit requirements mandate encryption in transit for modern data management platforms. | |
Data Encryption At-Rest Encryption of stored data on disk/databases. |
Data at rest encryption is standard for platforms dealing with sensitive fund and investment data. | |
Multi-factor Authentication Multi-factor login for users and administrators. |
Asset management clients require MFA for accessing sensitive data and systems. | |
User Access Controls Fine-grained control over user permissions and roles. |
Explicit in similar FIS product documentation; standard in financial data solutions. | |
Audit Trail Complete logging of all user and system activities. |
Auditability and compliance requirements drive the presence of comprehensive audit trails. | |
Compliance Certifications Adherence (and certifications) to standards like ISO 27001, SOC 2, GDPR. |
No information available | |
Secure API Authentication Token-based or certificate-based authentication for APIs. |
API integrations with third-party and internal systems require secure authentication—standard for institutional SaaS and integration platforms. | |
Penetration Testing Practices Regular security testing for vulnerabilities. |
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Data Masking/Redaction Ability to mask or redact sensitive data in outputs. |
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Incident Response Mechanisms Pre-defined procedures for data breaches or security incidents. |
Top-tier providers like FIS have written and published incident response mechanisms for their enterprise offerings. | |
Automated Compliance Monitoring Continuous monitoring for regulatory compliance violations. |
Financial services clients expect continuous compliance monitoring as standard, given regulatory risk. | |
Retention Policy Enforcement Automated enforcement of data retention and document destruction policies. |
Retention policy enforcement is required for regulated data in the financial sector. |
Horizontal Scalability Ability to scale out across multiple servers or cloud instances. |
Platform is described as comprehensive and scalable; horizontal scalability supported to handle large volumes in enterprise deployments. | |
Vertical Scalability Ability to add resources (CPU, RAM, Storage) to improve performance. |
Enterprise data platforms from FIS support vertical scaling to meet large client demands. | |
Data Throughput Maximum volume of data processable per unit time. |
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Latency Average time taken to process a transaction or data record. |
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Concurrency Support Number of data flows/pipelines that can run in parallel. |
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High Availability Built-in failover and redundancy for uninterrupted service. |
High availability is foundational for asset management operations; expected in all FIS data solutions. | |
Load Balancing Distributes workloads evenly for optimal resource usage. |
Load balancing is a standard feature for cloud and enterprise data products. | |
Auto-scaling Automatic adjustment of resources based on workload. |
Described as scalable and comprehensive—auto-scaling is standard in their cloud offerings. | |
Processing Window Size Configurable time window for batch processing. |
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Transaction Volume Capacity Maximum volume of transactions supported per day. |
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Real-time Health Dashboard Live display of system health and key metrics. |
Monitoring and dashboards are included for institutional clients to observe system health and KPIs in real-time. | |
Custom Alerts User-configurable monitoring rules and thresholds. |
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Historical Data Analytics Tools for reviewing past trends and incidents. |
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Error Notification Channels Multiple channels for error alerts (email, SMS, Slack, etc.). |
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Automated Remediation Rules to auto-resolve common issues or trigger workflows. |
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Usage Analytics Reports on platform usage and performance. |
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User Activity Logging Detailed tracking of all user activities. |
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Customizable Reporting Support for building and scheduling custom reports. |
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MTTR Tracking Time to detect and resolve technical incidents. |
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Alert Response Time Time for alerts to be delivered to responsible parties. |
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No-code/Low-code Pipeline Builder Drag-and-drop interface for building data flows without programming. |
Self-service configuration and pipeline design is widely available on enterprise integration platforms for business users. | |
Role-based Dashboards User interfaces tailored for different user types (IT, Ops, Business, etc.) |
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Self-service Data Ingestion Allow non-technical users to upload and ingest data. |
Solution enables end-user-driven data ingestion for fund managers (business users) as a differentiator. | |
Template Library Library of pre-built templates for common data flows and use cases. |
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Customizable Workspaces Users can personalize workspace layouts, filters, and views. |
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Inline Help & Documentation Integrated help, tooltips, and user guides. |
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Approval Workflows Request/approve changes to pipelines and integrations. |
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Bulk Operations Manage multiple records/files in one action. |
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Search & Filtering Powerful search and filtering of data and workflows. |
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Mobile Accessibility Mobile-friendly or dedicated mobile applications. |
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Cloud Deployment Support Native support for cloud deployment (AWS, Azure, GCP). |
Listed as cloud-deployable (AWS, Azure, etc.) on FIS documentation site. | |
On-premises Installation Support for on-premises or private cloud environments. |
FIS supports both on-premises and private cloud installations for regulated clients. | |
Hybrid Deployment Ability to operate across both cloud and on-premises infrastructure. |
Hybrid deployment is specifically called out in FIS solution sheets. | |
Multi-tenancy Supports logical separation for different teams or clients. |
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Microservices Architecture System is designed with microservices for modularity and resilience. |
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Disaster Recovery Capabilities Automatic failover and backup/restore for business continuity. |
Disaster recovery is standard for mission-critical fund management operations; referenced as a core offering in FIS material. | |
Containerization Support Support for Docker, Kubernetes, and similar technologies. |
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Multi-region Support Ability to operate across multiple geographic regions/data centers. |
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Zero-downtime Upgrades Apply platform upgrades without interrupting service. |
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Resource Auto-provisioning Automated deployment and resource allocation. |
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24/7 Technical Support Round-the-clock access to expert technical support. |
FIS offers 24/7 support to global clients. | |
Dedicated Account Manager A single point of contact for relationship management. |
Enterprise clients are typically provided with a dedicated account manager as part of FIS service. | |
Community Forums Engaged user community for peer support. |
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Extensive Documentation Detailed guides, manuals, and reference materials. |
FIS provides extensive documentation and support resources on their official site. | |
Regular Product Updates Frequent improvements and new feature releases. |
Product flyers and web content highlight regular updates and innovation. | |
Training & Certification Availability of certifications and formal training programs. |
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Partner/Marketplace Ecosystem Third-party integrations, add-ons, and certified partners. |
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Service Level Agreements (SLAs) Contractual performance and availability guarantees. |
FIS offers service level agreements for enterprise platform deployments. | |
Customer Success Programs Proactive guidance to help clients realize value. |
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Multi-language Support Availability of user interfaces and documentation in multiple languages. |
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Usage-based Pricing Pricing model based on consumption (e.g., data processed, transactions, users). |
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Flexible License Models Options for perpetual, subscription, or pay-as-you-go licenses. |
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Transparent Pricing Clear, upfront pricing without hidden fees. |
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Trial/Evaluation Period Available free trial or PoC before commitment. |
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Volume Discounts Discounts for larger usage or enterprise agreements. |
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Support Cost Inclusions Support and maintenance included in standard fees. |
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Cost Predictability Ability to forecast and control total cost of ownership. |
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Automated Billing Self-service billing and invoicing. |
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Cost Optimization Tools Built-in analytics to optimize platform usage and minimize cost. |
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Multi-currency Pricing Support Ability to quote and bill in multiple currencies. |
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Plugin/Extension Framework Ability to extend core functionality via custom plugins/extensions. |
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Custom Workflow Support Build and deploy custom data workflows and processes. |
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API for Custom Integrations Well-documented APIs for extending and integrating with external tools. |
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White-labeling Ability to customize branding and user interface. |
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Custom Roles & Permissions Define new user roles and granular access configurations. |
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Scripting Language Support Built-in support for languages like Python or JavaScript for user scripts. |
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UI Theming and Customization Configure appearance and user interface elements. |
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Event Hooks Custom logic triggered on data events or system actions. |
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Open Standards Compliance Built with and extends using open industry standards. |
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Integration SDK Software development kit for building deep integrations. |
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