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Platform for processing and analyzing alternative investment data for wealth managers and fund allocators. Includes due diligence materials, performance metrics, and allocation tools. Features educational resources and workflow management for alternative investment selection.
Specialized systems for acquiring, cleaning, normalizing, and analyzing non-traditional data sources such as satellite imagery, web scraping, sentiment analysis, and other alternative datasets.
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Source Diversity Ability to acquire data from a wide range of non-traditional sources (e.g., satellite, social media, web scraping). |
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Automated Data Ingestion Support for automated pipelines that regularly fetch and update alternative datasets. |
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Real-time Acquisition Capability to collect and import data with minimal latency. |
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API Integrations Availability of pre-built connectors to popular alternative data providers and APIs. |
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Flexible File Formats Support for a broad set of data formats (CSV, JSON, XML, images, video, etc.). |
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Historical Data Access Ability to access and extract historical alternative data records. |
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Data Licensing Management In-built tools to track and manage data usage rights and compliance for purchased datasets. |
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Geospatial Coverage Coverage for geospatial data collection across multiple global regions. |
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Data Volume Limits Maximum volume of data that can be ingested in a defined period. |
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User Access Controls on Data Sources Granular permissions to restrict which users can set up/acquire which type of sources. |
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Automated Outlier Detection System automatically flags and corrects extreme or inconsistent values. |
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Missing Value Imputation Ability to identify and fill in missing data using statistical algorithms. |
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Deduplication Elimination of duplicate or redundant data entries within or across sources. |
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Error Logging and Reporting Detailed audit trails and error logs for each cleaning operation. |
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Custom Data Cleaning Rules Ability to define and apply user-specified data validation and cleaning logic. |
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Scalability Capacity to handle cleaning tasks for large volumes of data. |
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Automated Quality Checks Regular, scheduled quality control routines to ensure cleaned data conforms to standards. |
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Version Control for Cleaned Data Tracking changes and access to previous versions of cleaned datasets. |
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Data Consistency Validation Checks to ensure data conforms to expected formats and relationships. |
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Anomaly Alerts Automated notifications when significant data anomalies are detected. |
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Unit Standardization Automated conversion of data into consistent units (e.g., metric, currency). |
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Schema Mapping Tools GUI or code-based tools to map source fields to internal data schemas. |
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Time Alignment Adjustment of data timestamps across sources to a common standard. |
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Normalization Performance Number of records normalized per minute. |
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Custom Data Transformations Support for user-defined scripts and rules for bespoke normalization. |
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Ontology Management Tools to maintain and apply taxonomy/ontology for alternative datasets. |
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Data Linking Across Sources Ability to join and merge related records from different alternative datasets. |
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Metadata Management Tools for managing standardized metadata about normalized data. |
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Batch Processing Support Capacity to normalize large batches of alternative data files. |
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Cross-Source Consistency Checking Automated validation that normalized fields match across data providers. |
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Entity Resolution Automatically match and merge records referencing the same real-world entity. |
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Geospatial Tagging Append latitude/longitude and geotags to alternative datasets for use in spatial analysis. |
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Sentiment Analysis Integration Auto-generation of sentiment scores from textual/voice/image data. |
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Event Tagging Automatic detection and labeling of significant economic, social, or physical events within the data. |
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Derived Feature Generation Support for constructing custom indicators based on primary alternative data. |
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Industry Classification Mapping Ability to map entities to industry standards (e.g., GICS, NAICS). |
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Third-Party Data Joins Capability to enrich alternative data by merging with third-party or proprietary datasets. |
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Machine Learning-based Scoring Automated scoring of entities using trained machine learning models. |
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Audit Trails for Enrichment Processes Detailed logs of all enrichment actions taken. |
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External Reference Data Access API or links to regulatory, financial, or public reference datasets. |
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Exploratory Data Analysis Tools Built-in visual and statistical analysis tools for alternative datasets. |
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Predictive Model Integration Ability to build, deploy, and run predictive models on alternative data. |
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Customizable Dashboards Interactive dashboards for visualizing key metrics from alternative data. |
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Event Detection Algorithms Automated identification of significant new events within alternative data feeds. |
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Multivariate Analysis Support Ability to analyze complex interdependencies between variables. |
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Natural Language Processing Capabilities Built-in NLP tools for analyzing text-heavy alternative datasets. |
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Visualization Export Options Export visualizations and charts in various formats (PDF, PNG, etc.). |
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Backtesting Frameworks Ability to test investment strategies on historical alternative data. |
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Statistical Alert Triggers Set alerts when indicators from alternative data cross statistical thresholds. |
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Signal Latency Average time between data update and signal generation. |
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Maximum Supported Data Volume The largest single dataset size supported for import and processing. |
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Parallel Processing Capability Ability to process multiple data streams or files concurrently. |
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Elastic Compute Integration Integration with cloud resources to scale up/down compute usage. |
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Load Balancing Automatic distribution of processing workloads for optimal utilization. |
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Processing Throughput Speed of data throughput during processing operations. |
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Scalable Storage Support Expandable data storage to accommodate increasing data volumes. |
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Data Archival Automated, cost-effective archiving of old alternative datasets. |
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Batch and Real-Time Processing Modes Support for both scheduled/batch and continuous real-time data pipelines. |
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Disaster Recovery/Rollback Systems for rapid restore from backup or rollback points. |
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Processing Error Handling Automated management of processing failures and retries. |
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Role-Based Access Control Fine-grained permission management for users and groups. |
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Data Encryption in Transit Encryption for alternative data while in transit between systems. |
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Data Encryption at Rest Encryption of alternative data stored in all databases and filesystems. |
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GDPR Compliance Tools Support for compliance with EU GDPR and related privacy regulations. |
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Audit Logging Immutable logs of user activity and data changes. |
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Integrated Consent Management Tools to track legal consents for data use across sources. |
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Data Masking/Tokenization Obfuscation of sensitive fields to protect personal information. |
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Vendor Due Diligence Framework to vet and approve external data providers for compliance. |
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User Authentication Protocols Supports modern authentication standards (e.g., SSO, MFA). |
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Automated Regulatory Reporting Automated generation of reports required by financial regulators. |
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Standardized Data Export Ability to export alternative data in standard formats (e.g., FIX, CSV, Parquet, JSON). |
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Pre-built Connectors to OMS/PMS Out-of-the-box integration with order and portfolio management systems. |
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Custom API Support Provision of a customizable API for bespoke use cases. |
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Webhooks and Event Streaming Push updates and events to downstream systems via webhooks. |
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BI Tool Integration Built-in adapters for business intelligence/data visualization platforms. |
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Cloud Storage Integrations Support for uploading or syncing data with major cloud providers (AWS, GCP, Azure). |
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Python/R SDKs Official software libraries for interacting with the system programmatically. |
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Batch Data Download Scheduling Automate the extraction of new data in regular intervals. |
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Custom Field Mapping Easily map alternative data fields to the internal structures of downstream systems. |
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Data Lineage Visualization Visual trace of data flow and transformations for downstream users. |
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Self-Service Data Discovery Non-technical users can search and preview available alternative datasets. |
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Point-and-Click Data Pipeline Design Visual editors for creating data processing and transformation workflows. |
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Customizable User Dashboards Users can assemble dashboards tailored to their needs. |
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In-Platform Documentation & Help Contextual help and API documentation available within the system. |
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Global Search Search across datasets, metadata, and processing logs. |
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Process Monitoring UI Graphical overview of all ongoing and completed processes. |
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Personalized Notifications Users receive alerts for errors or data arrivals relevant to them. |
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API Documentation Quality Score A rating or score for the completeness and usability of the provided API docs. |
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Language Localization Support for multiple languages in the UI. |
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Accessibility Compliance Follows accessibility standards for inclusive UI design. |
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Data Pipeline Health Monitoring Real-time status views and alerts for all active data flows. |
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Automated Failure Recovery Automatic restart or rerouting in case of pipeline errors. |
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System Uptime SLA Percentage of time the system is contractually guaranteed to be available. |
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Job Scheduling and Queuing Manage concurrent tasks and prioritize urgent processes. |
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Real-time Error Notifications Immediate alerts to relevant teams upon failures. |
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API Latency Monitoring Tracks response times of API endpoints. |
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Resource Usage Analytics Metrics and trends on compute, memory, and storage usage. |
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Capacity Planning Tools Forecast future system demands using historical trends. |
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Manual Job Restart/Intervention Allow operators to manually intervene in processing jobs. |
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Operational Audit Logs Detailed records of all operational activities and interventions. |
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24/7 Technical Support Technical helpdesk is available around the clock. |
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Dedicated Account Management Assigned representative familiar with your implementation and needs. |
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Implementation Services Availability of vendor-led onboarding and integration projects. |
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Custom Feature Development Vendor is willing to build bespoke features upon request. |
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Knowledge Base and Training Materials Comprehensive documentation and self-paced training content. |
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Onsite Training Vendor offers onsite workshops or training as part of onboarding. |
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Service Level Agreement (SLA) Terms Contractually specified guarantees on support response and issue resolution times. |
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User Community and Forums Active user groups and forums for community support. |
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Regular Product Updates Scheduled enhancement releases and security patching. |
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Third-Party Certification Support Vendor compliance with recognized security, privacy, or quality standards. |
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