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Comprehensive data management platform that allows fund managers to consolidate, validate and deliver investment data. Includes data governance tools, exception management capabilities, and supports regulatory reporting requirements. Can be deployed in cloud, hosted, or on-premises environments.
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Systems that acquire, process, validate, and distribute market data from various sources, including pricing information, reference data, corporate actions, and benchmarks across the organization.
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Multi-source connectivity Ability to connect to multiple data sources (exchanges, vendors, etc.). |
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Real-time data ingestion Supports real-time streaming ingestion of data feeds. |
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Historical data import Capability to load and process historical datasets. |
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Automated feed scheduling Automatic scheduling and orchestration of data imports. |
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Latency Average time between data publication and ingestion. |
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Concurrent sources supported Maximum number of data sources that can be ingested simultaneously. |
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Custom feed handler Support for custom or user-defined data feed integration. |
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Vendor API compatibility Supports major market data vendor APIs (Bloomberg, Refinitiv, ICE, etc.). |
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Intraday updates Capability to acquire and process intraday or tick-level data. |
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File and message protocol support Handles protocols such as FIX, SFTP, API, and others. |
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Retry mechanisms Automated retry and failover during feed interruptions. |
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Data coverage breadth Number of distinct data asset classes supported. |
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Data normalization Automated standardization of source data into a consistent format. |
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Data mapping Maps vendor or source fields to internal data models. |
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Cross-referencing Cross-linking between identifiers (RIC, ISIN, SEDOL, CUSIP, etc.). |
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Identifier management Tracks and manages multiple security identifiers. |
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Data enrichment Augmenting records with additional metadata from internal or third-party sources. |
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Derived values calculation Calculation of derived metrics such as VWAP, moving averages. |
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Business rule engine Configurable rules for custom transformations and enrichment. |
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Processing speed Rate at which data records can be processed. |
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Batch processing support Handles scheduled or on-demand batch jobs for data transformation. |
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Corporate actions adjustment Processes events like dividends, splits, and applies them to security data. |
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Data lineage tracking Tracks the origins and transformation steps for each data element. |
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Benchmark enrichment Integration of benchmark indices for comparison or analytics. |
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Outlier detection Automated checks to identify out-of-range or anomalous values. |
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Completeness checks Verification that all required data fields are populated. |
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Data accuracy scoring Assigns data quality scores based on predefined rules. |
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Range validation Validates that data falls within expected parameters. |
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Data consistency checks Ensures that data is internally consistent across time and sources. |
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Duplicate detection and resolution Identifies and merges or removes duplicate entries. |
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Exception management workflow Manages data issues and exceptions with audit trails. |
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Alerts and notifications Automatic notifications on validation failures or data anomalies. |
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Repair tools Manual and automated tools for correcting data errors. |
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Validation rule configurability Ability to define and maintain custom validation rules. |
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Audit logs of validations Maintain a full history of validation actions and outcomes. |
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Vendor data comparison Cross-checks data from multiple vendors/sources for discrepancies. |
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Real-time data publishing Sends updates to consumers as soon as new data arrives. |
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Scheduled batch data delivery Supports timed or event-triggered distribution. |
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API access Availability of RESTful or other programmatic interfaces. |
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File export Exports to standard file formats (CSV, Excel, XML, JSON). |
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Message queue integration Delivers data via messaging systems (Kafka, MQ, etc.). |
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User-defined delivery channels Support for custom or client-specified distribution mechanisms. |
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Consumer permissions management Controls which users/applications receive which data. |
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Latency to delivery Time taken from data validation to downstream delivery. |
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Downstream system integration Supports integration with trade platforms, analytics, risk, and reporting systems. |
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Notifications on data delivery Alerts stakeholders when data is delivered or when delivery fails. |
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Bulk download support Ability to download large datasets on demand. |
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Output data volume Maximum data that can be distributed within a given period. |
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Role-based access control (RBAC) Granular user and system permissions. |
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Audit trail Comprehensive logging of all user and system actions for compliance. |
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Encryption in transit Secures data as it moves across networks. |
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Encryption at rest Stores data in encrypted format on disk. |
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Data masking Redacts sensitive fields from unauthorized users. |
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Compliance reporting Automated generation of reports for regulatory purposes. |
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Data retention management Configurable policies for data storage and deletion. |
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GDPR/CCPA compliance features Functions to support privacy obligations and subject requests. |
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Vendor access controls Restricts and audits external vendor access to systems and data. |
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Third-party security certifications Holds certifications such as ISO 27001, SOC 2, etc. |
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Secure API gateway Protects and monitors all API accesses. |
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Penetration tests frequency Number of penetration/security tests performed per year. |
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User management dashboard Admin interface for adding, removing, and managing users. |
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Configuration management User-friendly tools for configuring data sources, rules, and outputs. |
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Customizable dashboards Interactive dashboards for monitoring data flows and system health. |
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Self-service data access Allows users to query and retrieve data without IT intervention. |
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Workflow automation Tools for automating operational processes. |
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Multi-language support User interface available in multiple languages. |
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Onboarding tools Guides and tools for fast setup of new data sources or users. |
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Custom reporting Users can create ad hoc or scheduled reports. |
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Help and documentation Comprehensive user guides, APIs, and support documentation. |
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Change tracking Logs and highlights system setting changes. |
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User roles supported Number of customizable user roles/groups. |
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Horizontal scalability Supports scaling by adding more servers or nodes. |
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High availability Built-in redundancy and failover for continuous operation. |
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Cloud-native deployment Supports cloud and hybrid deployments. |
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Elastic resource allocation Resources scale automatically with demand. |
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Maximum throughput Peak volume of data that can be processed per unit time. |
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Supported concurrent users Maximum number of simultaneous users. |
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Disaster recovery Integrated disaster recovery and rapid restore features. |
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Load balancing Automatic distribution of workload across resources. |
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Data partitioning Splits data for scalable storage and processing. |
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Minimum supported response time Fastest guaranteed response for a standard query. |
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Rolling upgrades Enables upgrades without downtime. |
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Edge deployment support Deployable close to data sources for ultra-low-latency. |
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License enforcement Monitors and enforces contractual data usage limits. |
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Data vendor entitlement management Controls access to data assets as per vendor contracts. |
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Usage analytics Tracks how and by whom data is consumed. |
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Cost allocation tools Allocates and reports data costs by user, team, or business unit. |
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Contract management Stores, tracks, and alerts on market data contracts. |
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Data usage dashboard Visualizes consumption to optimize vendor spend. |
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Automated entitlements provisioning Automates granting and revoking of data rights. |
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Audit of vendor usage Auditable trails of all vendor data accesses. |
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Inbound/outbound data usage limits Maximum data volumes allowed by licensing contracts. |
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Excess usage alerts Notifications when data access exceeds contractual entitlements. |
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Flexible entitlement models Supports complex licensing structures (by asset class, geography, user type, etc.). |
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License exception handling Processes permissions for exceptional or urgent access needs. |
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Feed health monitoring Continuous monitoring of inbound/outbound data feeds for up/down states. |
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Application performance monitoring Monitors resource usage, latency, and system responsiveness. |
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Custom alert configuration Allows users to set specific alerting conditions. |
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Alert notification channels Supports email, SMS, dashboard pop-ups, etc. |
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Incident tracking integration Integrates with ticketing/incident systems (ServiceNow, Jira, etc.). |
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Downtime tracking Measures and logs system or feed outages. |
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SLA monitoring Checks if platform performance meets service-level agreements. |
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Event log retention Length of time logs and metrics are stored. |
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Proactive anomaly detection AI/ML-driven detection of unexpected system behaviors. |
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User activity monitoring Tracks user-level activity for security and compliance. |
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Dashboard visualization of alerts Consolidated view of all operational metrics and alerts. |
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Escalation workflow for critical alerts Automated escalation process for unresolved incidents. |
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Multi-identifier support Manages various instrument and counterparty identifiers (ISIN, LEI, SEDOL, etc.). |
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Entity relationship mapping Captures relationships between entities (issuer, parent, subsidiary, etc.). |
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Corporate actions feed integration Integrates with standardized action feeds from vendors and custodians. |
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Corporate action event validation Validates and confirms authenticity of announced events. |
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Event impact calculation Determines the effect of actions (splits, mergers, etc.) on security data. |
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Audit history of changes Maintains a trail of changes to reference data and corporate action processing. |
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Golden copy management Maintains a single validated version of key reference data. |
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Exception workflow for action events Routes problematic events for manual review or escalation. |
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Cross-asset class reference data Supports all asset types: equities, fixed income, derivatives, etc. |
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Automated data refresh frequency Frequency at which reference data is automatically refreshed. |
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Source reconciliation Cross-verifies reference data from multiple sources. |
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Orphaned record detection Identifies reference data without supporting records (for deprecation/removal). |
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Standard report library Pre-built reports for common market data, quality, and usage metrics. |
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Custom report builder Create, schedule, and distribute custom reports. |
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Data lineage analysis Visualize the data’s journey from source through transformation to consumer. |
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Audit and compliance reporting Dedicated reports for compliance review and audits. |
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Usage statistics dashboard Interactive dashboard for visualizing consumption, errors, and bottlenecks. |
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Drill-down analytics Enables detailed exploration of underlying datasets. |
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Time series analytics Analyzes trends and patterns in price or reference data over time. |
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Export to BI tools Integration with popular business intelligence platforms. |
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Scheduled report delivery Automated report generation and emailing. |
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Ad hoc query support On-demand querying and analysis of market or reference data. |
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Large dataset reporting performance Maximum data volume supported for interactive reporting. |
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Custom visualization tools Built-in tools for data charting and visualization. |
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Centralized repositories designed to store, organize, and make accessible various types of investment data including historical prices, positions, transactions, and analytical datasets.
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Multi-Source Connectivity Ability to connect to multiple data sources such as custodians, brokers, market data feeds, CRM, and internal systems. |
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Real-Time Ingestion Support for real-time or near real-time data ingestion and updates. |
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Batch Processing Support Supports bulk or scheduled data loads at defined intervals. |
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Data Validation Rules Automated quality checks during ingestion for format, completeness, or range validation. |
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Data Mapping/Transformation Ability to map, normalize, or transform source data to internal schemas. |
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API Access for Ingestion Availability of APIs to push/pull data from external systems. |
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ETL (Extract, Transform, Load) Tools Built-in or integrated ETL processes for complex workflows. |
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Customizable Workflows Support for creating custom data ingestion and integration workflows. |
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Streaming Data Capability Ingestion and management of continuously flowing data (e.g., tick data, news feeds). |
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Error Logging & Alerting Automated notifications or logs on ingestion failures, anomalies, or discrepancies. |
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Scalability Maximum capacity of records the ingestion process can handle per hour. |
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Latency Time taken from data arrival at source to availability in warehouse. |
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Auto Schema Detection Automated detection and suggestion for new/unknown data schemas. |
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Storage Capacity Maximum volume of data that can be stored. |
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Data Compression Support for storage-efficient compression algorithms. |
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Partitioning & Sharding Support for data partitioning or sharding for optimized performance. |
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Columnar vs. Row Storage Choice between columnar or row-based data storage, or hybrid models. |
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Elastic Scaling Ability to dynamically scale storage resources up/down as needed. |
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High Availability & Redundancy Built-in redundancy for data protection and system resilience. |
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Data Snapshots Capability to take periodic snapshots or backups of stored data. |
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Cloud/On-Premises Option Deployment flexibility on cloud, on-premises or hybrid environments. |
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Object Storage Integration Ability to integrate with external object stores (like S3, Azure Blob, etc). |
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Immutable Data Storage Supports 'write-once, read-many' records for archiving and audit trails. |
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Data Encryption at Rest Uses encryption to secure data at rest on storage devices. |
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Schema Evolution Capability to modify and evolve storage schemas with minimal disruption. |
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Role-Based Access Controls (RBAC) Enables fine-grained permissions based on user roles and responsibilities. |
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Multi-Factor Authentication (MFA) Requires multiple authentication methods for enhanced security. |
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Data Encryption In Transit Secures data as it moves between systems using transport-layer encryption. |
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Audit Logging Captures logs of all user actions for compliance and review. |
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Granular Permissions Allows field-, table-, or dataset-level restrictions on view/edit |
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User Provisioning Automation Streamlines onboarding/offboarding of user access rights. |
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Single-Sign-On (SSO) Integration Integration with enterprise authentication solutions for single sign-on. |
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Data Masking Conceals sensitive fields from unauthorized users while keeping them available for queries. |
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Security Incident Alerting Automated alerts triggered by unusual activities or access violations. |
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Field Level Encryption Ability to encrypt specific columns or fields within the warehouse. |
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Certifications/Compliance System meets external standards (e.g. SOC 2, ISO 27001, GDPR). |
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Data Access Expiry Ability to grant time-limited access to specific datasets. |
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Automated Data Quality Checks Scheduled or real-time scans for inconsistencies, outages, and data drift. |
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Data Lineage Tracking Full traceability of data sources and transformations. |
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Data Deduplication Automated identification and resolution of duplicate records. |
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Historical Data Versioning Retains and enables access to previous versions of records. |
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Metadata Management Cataloging of data with descriptive metadata, tags, and classifications. |
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Data Reconciliation Tools Tools for aligning positions, transactions, and market values with external sources. |
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Custom Validation Rules Administrators can define custom data validation and alert logic. |
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Error Correction Workflow Built-in process for reviewing and resolving flagged issues. |
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Data Anomaly Detection Automated identification of abnormal or suspicious data patterns. |
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Quality Score Metrics Quantitative scoring of data quality or completeness. |
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Query Response Time Average time for user queries to complete. |
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Concurrent Users Supported Maximum number of simultaneous active users. |
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Max Query Throughput Highest number of queries handled per second. |
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Elastic Compute Scaling Ability to add processing resources dynamically as workload grows. |
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High Availability Uptime/availability percentage supported by system architecture. |
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Geographic Distribution Ability to distribute data and resources across multiple locations. |
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Hybrid Scaling Support for both vertical (bigger servers) and horizontal (more servers) growth. |
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Resource Utilization Optimizations Automated resource allocation and optimization for performance. |
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Data Caching Layered caching to speed up frequently accessed queries. |
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Workload Isolation Isolating analytic and operational workloads to prevent interference. |
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Ad-Hoc Query Tools User ability to run custom queries without IT intervention. |
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Integrated Reporting Provision of built-in or plug-in dashboards and report templates. |
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Data Visualization Support for charting, heatmaps, and other visualization outputs. |
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OLAP (Online Analytical Processing) Multi-dimensional data cubes for advanced slicing/dicing. |
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API for Data Export APIs for exporting data to downstream analytics/BI tools. |
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Scheduled Reporting Capability to schedule and distribute recurring reports. |
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Self-Service BI Integration Connection with leading business intelligence tools (Power BI, Tableau, etc). |
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User-Defined Metrics & Calculations Ability for users to create custom metrics and run calculations. |
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Natural Language Query Supports querying data using plain English or natural language. |
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Audit Reports Automated generation of compliance or data access audit reports. |
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Data Retention Policies Automated enforcement of data lifespan per regulatory requirements. |
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Consent Management Tools to record and enforce user/client consent for data use. |
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GDPR/CCPA Compliance Modules Functions for supporting global privacy laws in data management. |
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Change Management & Approval Workflow Approval process tracking for critical data or schema changes. |
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Policy Documentation Portal Online repository for governance, access, and retention policies. |
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Data Stewardship Assignment Assign roles for stewardship and ongoing data oversight. |
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Data Usage Monitoring Track and report data access frequency and patterns. |
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Automated Regulatory Reporting Template-driven and automated generation of regulatory filings. |
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E-discovery Support Tools for responding to legal or regulatory data queries. |
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Full Audit Trail Detailed, immutable logging of data access and changes for compliance. |
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Standardized API Interfaces Support for REST, GraphQL, or other industry-standard APIs. |
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Event Driven Architecture Ability to publish/subscribe to changes via events (e.g., webhooks, Kafka). |
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Data Export Connectors Pre-built connectors to downstream systems (accounting, risk, performance). |
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Data Import Connectors Connectors for ingesting data from industry-standard vendors and records. |
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Bulk Data Transfer Support Efficient mechanisms for exporting/importing large datasets. |
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Custom Plugin Support Ability to extend functionality via custom plugins. |
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Data Synchronization Scheduling Configure schedules and triggers for sync with external applications. |
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Federated Query Support Query data across multiple sources without data movement. |
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Open Standards Adoption Uses open-source or de-facto industry schemas and protocols. |
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Integration Testing Sandbox Provides a test environment for third-party integration validation. |
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Intuitive User Interface Modern, easy-to-navigate web UI for end users and admins. |
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Customizable Dashboards Personalized dashboards for different user roles. |
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User Activity Monitoring Admin panel to review recent logins and actions. |
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Bulk User Management Batch provisioning, editing, or deactivation of users. |
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Localization and Multi-language Support UI and documentation in multiple languages. |
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Accessibility Compliance Adheres to WCAG or other accessibility standards. |
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Custom Notification Settings Users can configure their own notification preferences. |
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In-platform Help & Support Contextual help guides, live chat, or ticket escalation. |
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System Usage Analytics Track and visualize user adoption and active usage trends. |
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Theming & Branding Options Support for organization-specific visual branding. |
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Real-Time System Monitoring Visibility into performance, capacity, and health via dashboards. |
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Automated Backups Scheduled and on-demand backup management. |
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Disaster Recovery Support Plans and automation for fast recovery from critical failures. |
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24/7 Technical Support Access to technical support all day, every day. |
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Self-Healing Capabilities Automated detection and mitigation of system faults. |
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Patch & Version Management Tools for applying updates and managing software versions. |
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Automated Resource Scaling Dynamic allocation of compute and storage as workload changes. |
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Incident Management Dashboard Central dashboard for viewing, tracking, and resolving operational incidents. |
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Performance Baselines Historical records of key performance baselines for benchmarking. |
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Service Level Agreement (SLA) Uptime Guaranteed system availability percentage per SLA. |
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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.). |
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Pre-built Connectors Availability of pre-built connectors to common fund systems, custodians, administrators, and data vendors. |
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Custom Connector Support Ability to build custom data connectors/adapters. |
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File-based Integration Supports integration via file exchange (CSV, XML, XLS, etc.). |
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Message Queue Integration Integration with messaging systems/brokers (MQ, Kafka, RabbitMQ). |
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FTP/SFTP Capabilities Ability to send/receive data via FTP or SFTP protocols. |
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Webhooks Support Supports event-driven integrations via webhooks. |
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Batch vs. Real-time Processing Flexible support for both batch and real-time data integration. |
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Data Source Auto-Discovery Automated recognition and onboarding of new data sources. |
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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. |
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Visual Data Mapping Graphical tools for defining data transformation and mapping. |
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Scripting/Custom Logic Ability to include scripts or custom logic in data pipelines. |
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Data Validation Rules Built-in validation of data formats, types, and constraints. |
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Error Handling & Logging Comprehensive error tracking and data issue logging mechanisms. |
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Automated Data Cleansing Capabilities to auto-correct or flag suspect data. |
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Data Enrichment Ability to enhance datasets with reference or market data. |
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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. |
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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. |
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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. |
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Access Audit Logs Detailed logging of data access and modifications. |
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Data Encryption In-Transit Encryption of all data during transfer between systems. |
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Data Encryption At-Rest Encryption of stored data on disk/databases. |
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Multi-factor Authentication Multi-factor login for users and administrators. |
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User Access Controls Fine-grained control over user permissions and roles. |
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Audit Trail Complete logging of all user and system activities. |
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Compliance Certifications Adherence (and certifications) to standards like ISO 27001, SOC 2, GDPR. |
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Secure API Authentication Token-based or certificate-based authentication for APIs. |
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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. |
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Automated Compliance Monitoring Continuous monitoring for regulatory compliance violations. |
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Retention Policy Enforcement Automated enforcement of data retention and document destruction policies. |
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Horizontal Scalability Ability to scale out across multiple servers or cloud instances. |
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Vertical Scalability Ability to add resources (CPU, RAM, Storage) to improve performance. |
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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. |
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Load Balancing Distributes workloads evenly for optimal resource usage. |
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Auto-scaling Automatic adjustment of resources based on workload. |
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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. |
. | No information available |
Custom Alerts User-configurable monitoring rules and thresholds. |
. | No information available |
Historical Data Analytics Tools for reviewing past trends and incidents. |
. | No information available |
Error Notification Channels Multiple channels for error alerts (email, SMS, Slack, etc.). |
. | No information available |
Automated Remediation Rules to auto-resolve common issues or trigger workflows. |
. | No information available |
Usage Analytics Reports on platform usage and performance. |
. | No information available |
User Activity Logging Detailed tracking of all user activities. |
. | No information available |
Customizable Reporting Support for building and scheduling custom reports. |
. | No information available |
MTTR Tracking Time to detect and resolve technical incidents. |
. | No information available |
Alert Response Time Time for alerts to be delivered to responsible parties. |
. | No information available |
No-code/Low-code Pipeline Builder Drag-and-drop interface for building data flows without programming. |
. | No information available |
Role-based Dashboards User interfaces tailored for different user types (IT, Ops, Business, etc.) |
. | No information available |
Self-service Data Ingestion Allow non-technical users to upload and ingest data. |
. | No information available |
Template Library Library of pre-built templates for common data flows and use cases. |
. | No information available |
Customizable Workspaces Users can personalize workspace layouts, filters, and views. |
. | No information available |
Inline Help & Documentation Integrated help, tooltips, and user guides. |
. | No information available |
Approval Workflows Request/approve changes to pipelines and integrations. |
. | No information available |
Bulk Operations Manage multiple records/files in one action. |
. | No information available |
Search & Filtering Powerful search and filtering of data and workflows. |
. | No information available |
Mobile Accessibility Mobile-friendly or dedicated mobile applications. |
. | No information available |
Cloud Deployment Support Native support for cloud deployment (AWS, Azure, GCP). |
. | No information available |
On-premises Installation Support for on-premises or private cloud environments. |
. | No information available |
Hybrid Deployment Ability to operate across both cloud and on-premises infrastructure. |
. | No information available |
Multi-tenancy Supports logical separation for different teams or clients. |
. | No information available |
Microservices Architecture System is designed with microservices for modularity and resilience. |
. | No information available |
Disaster Recovery Capabilities Automatic failover and backup/restore for business continuity. |
. | No information available |
Containerization Support Support for Docker, Kubernetes, and similar technologies. |
. | No information available |
Multi-region Support Ability to operate across multiple geographic regions/data centers. |
. | No information available |
Zero-downtime Upgrades Apply platform upgrades without interrupting service. |
. | No information available |
Resource Auto-provisioning Automated deployment and resource allocation. |
. | No information available |
24/7 Technical Support Round-the-clock access to expert technical support. |
. | No information available |
Dedicated Account Manager A single point of contact for relationship management. |
. | No information available |
Community Forums Engaged user community for peer support. |
. | No information available |
Extensive Documentation Detailed guides, manuals, and reference materials. |
. | No information available |
Regular Product Updates Frequent improvements and new feature releases. |
. | No information available |
Training & Certification Availability of certifications and formal training programs. |
. | No information available |
Partner/Marketplace Ecosystem Third-party integrations, add-ons, and certified partners. |
. | No information available |
Service Level Agreements (SLAs) Contractual performance and availability guarantees. |
. | No information available |
Customer Success Programs Proactive guidance to help clients realize value. |
. | No information available |
Multi-language Support Availability of user interfaces and documentation in multiple languages. |
. | No information available |
Usage-based Pricing Pricing model based on consumption (e.g., data processed, transactions, users). |
. | No information available |
Flexible License Models Options for perpetual, subscription, or pay-as-you-go licenses. |
. | No information available |
Transparent Pricing Clear, upfront pricing without hidden fees. |
. | No information available |
Trial/Evaluation Period Available free trial or PoC before commitment. |
. | No information available |
Volume Discounts Discounts for larger usage or enterprise agreements. |
. | No information available |
Support Cost Inclusions Support and maintenance included in standard fees. |
. | No information available |
Cost Predictability Ability to forecast and control total cost of ownership. |
. | No information available |
Automated Billing Self-service billing and invoicing. |
. | No information available |
Cost Optimization Tools Built-in analytics to optimize platform usage and minimize cost. |
. | No information available |
Multi-currency Pricing Support Ability to quote and bill in multiple currencies. |
. | No information available |
Plugin/Extension Framework Ability to extend core functionality via custom plugins/extensions. |
. | No information available |
Custom Workflow Support Build and deploy custom data workflows and processes. |
. | No information available |
API for Custom Integrations Well-documented APIs for extending and integrating with external tools. |
. | No information available |
White-labeling Ability to customize branding and user interface. |
. | No information available |
Custom Roles & Permissions Define new user roles and granular access configurations. |
. | No information available |
Scripting Language Support Built-in support for languages like Python or JavaScript for user scripts. |
. | No information available |
UI Theming and Customization Configure appearance and user interface elements. |
. | No information available |
Event Hooks Custom logic triggered on data events or system actions. |
. | No information available |
Open Standards Compliance Built with and extends using open industry standards. |
. | No information available |
Integration SDK Software development kit for building deep integrations. |
. | No information available |
Specialized systems for acquiring, cleaning, normalizing, and analyzing non-traditional data sources such as satellite imagery, web scraping, sentiment analysis, and other alternative datasets.
More Alternative Data Processing
More Data Management ...
Source Diversity Ability to acquire data from a wide range of non-traditional sources (e.g., satellite, social media, web scraping). |
. | No information available |
Automated Data Ingestion Support for automated pipelines that regularly fetch and update alternative datasets. |
. | No information available |
Real-time Acquisition Capability to collect and import data with minimal latency. |
. | No information available |
API Integrations Availability of pre-built connectors to popular alternative data providers and APIs. |
. | No information available |
Flexible File Formats Support for a broad set of data formats (CSV, JSON, XML, images, video, etc.). |
. | No information available |
Historical Data Access Ability to access and extract historical alternative data records. |
. | No information available |
Data Licensing Management In-built tools to track and manage data usage rights and compliance for purchased datasets. |
. | No information available |
Geospatial Coverage Coverage for geospatial data collection across multiple global regions. |
. | No information available |
Data Volume Limits Maximum volume of data that can be ingested in a defined period. |
. | No information available |
User Access Controls on Data Sources Granular permissions to restrict which users can set up/acquire which type of sources. |
. | No information available |
Automated Outlier Detection System automatically flags and corrects extreme or inconsistent values. |
. | No information available |
Missing Value Imputation Ability to identify and fill in missing data using statistical algorithms. |
. | No information available |
Deduplication Elimination of duplicate or redundant data entries within or across sources. |
. | No information available |
Error Logging and Reporting Detailed audit trails and error logs for each cleaning operation. |
. | No information available |
Custom Data Cleaning Rules Ability to define and apply user-specified data validation and cleaning logic. |
. | No information available |
Scalability Capacity to handle cleaning tasks for large volumes of data. |
. | No information available |
Automated Quality Checks Regular, scheduled quality control routines to ensure cleaned data conforms to standards. |
. | No information available |
Version Control for Cleaned Data Tracking changes and access to previous versions of cleaned datasets. |
. | No information available |
Data Consistency Validation Checks to ensure data conforms to expected formats and relationships. |
. | No information available |
Anomaly Alerts Automated notifications when significant data anomalies are detected. |
. | No information available |
Unit Standardization Automated conversion of data into consistent units (e.g., metric, currency). |
. | No information available |
Schema Mapping Tools GUI or code-based tools to map source fields to internal data schemas. |
. | No information available |
Time Alignment Adjustment of data timestamps across sources to a common standard. |
. | No information available |
Normalization Performance Number of records normalized per minute. |
. | No information available |
Custom Data Transformations Support for user-defined scripts and rules for bespoke normalization. |
. | No information available |
Ontology Management Tools to maintain and apply taxonomy/ontology for alternative datasets. |
. | No information available |
Data Linking Across Sources Ability to join and merge related records from different alternative datasets. |
. | No information available |
Metadata Management Tools for managing standardized metadata about normalized data. |
. | No information available |
Batch Processing Support Capacity to normalize large batches of alternative data files. |
. | No information available |
Cross-Source Consistency Checking Automated validation that normalized fields match across data providers. |
. | No information available |
Entity Resolution Automatically match and merge records referencing the same real-world entity. |
. | No information available |
Geospatial Tagging Append latitude/longitude and geotags to alternative datasets for use in spatial analysis. |
. | No information available |
Sentiment Analysis Integration Auto-generation of sentiment scores from textual/voice/image data. |
. | No information available |
Event Tagging Automatic detection and labeling of significant economic, social, or physical events within the data. |
. | No information available |
Derived Feature Generation Support for constructing custom indicators based on primary alternative data. |
. | No information available |
Industry Classification Mapping Ability to map entities to industry standards (e.g., GICS, NAICS). |
. | No information available |
Third-Party Data Joins Capability to enrich alternative data by merging with third-party or proprietary datasets. |
. | No information available |
Machine Learning-based Scoring Automated scoring of entities using trained machine learning models. |
. | No information available |
Audit Trails for Enrichment Processes Detailed logs of all enrichment actions taken. |
. | No information available |
External Reference Data Access API or links to regulatory, financial, or public reference datasets. |
. | No information available |
Exploratory Data Analysis Tools Built-in visual and statistical analysis tools for alternative datasets. |
. | No information available |
Predictive Model Integration Ability to build, deploy, and run predictive models on alternative data. |
. | No information available |
Customizable Dashboards Interactive dashboards for visualizing key metrics from alternative data. |
. | No information available |
Event Detection Algorithms Automated identification of significant new events within alternative data feeds. |
. | No information available |
Multivariate Analysis Support Ability to analyze complex interdependencies between variables. |
. | No information available |
Natural Language Processing Capabilities Built-in NLP tools for analyzing text-heavy alternative datasets. |
. | No information available |
Visualization Export Options Export visualizations and charts in various formats (PDF, PNG, etc.). |
. | No information available |
Backtesting Frameworks Ability to test investment strategies on historical alternative data. |
. | No information available |
Statistical Alert Triggers Set alerts when indicators from alternative data cross statistical thresholds. |
. | No information available |
Signal Latency Average time between data update and signal generation. |
. | No information available |
Maximum Supported Data Volume The largest single dataset size supported for import and processing. |
. | No information available |
Parallel Processing Capability Ability to process multiple data streams or files concurrently. |
. | No information available |
Elastic Compute Integration Integration with cloud resources to scale up/down compute usage. |
. | No information available |
Load Balancing Automatic distribution of processing workloads for optimal utilization. |
. | No information available |
Processing Throughput Speed of data throughput during processing operations. |
. | No information available |
Scalable Storage Support Expandable data storage to accommodate increasing data volumes. |
. | No information available |
Data Archival Automated, cost-effective archiving of old alternative datasets. |
. | No information available |
Batch and Real-Time Processing Modes Support for both scheduled/batch and continuous real-time data pipelines. |
. | No information available |
Disaster Recovery/Rollback Systems for rapid restore from backup or rollback points. |
. | No information available |
Processing Error Handling Automated management of processing failures and retries. |
. | No information available |
Role-Based Access Control Fine-grained permission management for users and groups. |
. | No information available |
Data Encryption in Transit Encryption for alternative data while in transit between systems. |
. | No information available |
Data Encryption at Rest Encryption of alternative data stored in all databases and filesystems. |
. | No information available |
GDPR Compliance Tools Support for compliance with EU GDPR and related privacy regulations. |
. | No information available |
Audit Logging Immutable logs of user activity and data changes. |
. | No information available |
Integrated Consent Management Tools to track legal consents for data use across sources. |
. | No information available |
Data Masking/Tokenization Obfuscation of sensitive fields to protect personal information. |
. | No information available |
Vendor Due Diligence Framework to vet and approve external data providers for compliance. |
. | No information available |
User Authentication Protocols Supports modern authentication standards (e.g., SSO, MFA). |
. | No information available |
Automated Regulatory Reporting Automated generation of reports required by financial regulators. |
. | No information available |
Standardized Data Export Ability to export alternative data in standard formats (e.g., FIX, CSV, Parquet, JSON). |
. | No information available |
Pre-built Connectors to OMS/PMS Out-of-the-box integration with order and portfolio management systems. |
. | No information available |
Custom API Support Provision of a customizable API for bespoke use cases. |
. | No information available |
Webhooks and Event Streaming Push updates and events to downstream systems via webhooks. |
. | No information available |
BI Tool Integration Built-in adapters for business intelligence/data visualization platforms. |
. | No information available |
Cloud Storage Integrations Support for uploading or syncing data with major cloud providers (AWS, GCP, Azure). |
. | No information available |
Python/R SDKs Official software libraries for interacting with the system programmatically. |
. | No information available |
Batch Data Download Scheduling Automate the extraction of new data in regular intervals. |
. | No information available |
Custom Field Mapping Easily map alternative data fields to the internal structures of downstream systems. |
. | No information available |
Data Lineage Visualization Visual trace of data flow and transformations for downstream users. |
. | No information available |
Self-Service Data Discovery Non-technical users can search and preview available alternative datasets. |
. | No information available |
Point-and-Click Data Pipeline Design Visual editors for creating data processing and transformation workflows. |
. | No information available |
Customizable User Dashboards Users can assemble dashboards tailored to their needs. |
. | No information available |
In-Platform Documentation & Help Contextual help and API documentation available within the system. |
. | No information available |
Global Search Search across datasets, metadata, and processing logs. |
. | No information available |
Process Monitoring UI Graphical overview of all ongoing and completed processes. |
. | No information available |
Personalized Notifications Users receive alerts for errors or data arrivals relevant to them. |
. | No information available |
API Documentation Quality Score A rating or score for the completeness and usability of the provided API docs. |
. | No information available |
Language Localization Support for multiple languages in the UI. |
. | No information available |
Accessibility Compliance Follows accessibility standards for inclusive UI design. |
. | No information available |
Data Pipeline Health Monitoring Real-time status views and alerts for all active data flows. |
. | No information available |
Automated Failure Recovery Automatic restart or rerouting in case of pipeline errors. |
. | No information available |
System Uptime SLA Percentage of time the system is contractually guaranteed to be available. |
. | No information available |
Job Scheduling and Queuing Manage concurrent tasks and prioritize urgent processes. |
. | No information available |
Real-time Error Notifications Immediate alerts to relevant teams upon failures. |
. | No information available |
API Latency Monitoring Tracks response times of API endpoints. |
. | No information available |
Resource Usage Analytics Metrics and trends on compute, memory, and storage usage. |
. | No information available |
Capacity Planning Tools Forecast future system demands using historical trends. |
. | No information available |
Manual Job Restart/Intervention Allow operators to manually intervene in processing jobs. |
. | No information available |
Operational Audit Logs Detailed records of all operational activities and interventions. |
. | No information available |
24/7 Technical Support Technical helpdesk is available around the clock. |
. | No information available |
Dedicated Account Management Assigned representative familiar with your implementation and needs. |
. | No information available |
Implementation Services Availability of vendor-led onboarding and integration projects. |
. | No information available |
Custom Feature Development Vendor is willing to build bespoke features upon request. |
. | No information available |
Knowledge Base and Training Materials Comprehensive documentation and self-paced training content. |
. | No information available |
Onsite Training Vendor offers onsite workshops or training as part of onboarding. |
. | No information available |
Service Level Agreement (SLA) Terms Contractually specified guarantees on support response and issue resolution times. |
. | No information available |
User Community and Forums Active user groups and forums for community support. |
. | No information available |
Regular Product Updates Scheduled enhancement releases and security patching. |
. | No information available |
Third-Party Certification Support Vendor compliance with recognized security, privacy, or quality standards. |
. | No information available |
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