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AlphaSense Platform from AlphaSense
AI-powered platform offering advanced search and alternative data insights from earnings transcripts, expert calls, news, and other unstructured sources, aiding asset managers in data-driven decision making.
Product analysis by function
Alternative Data Processing for Data Management
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
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Data Acquisition
(6 Yes /6 Known /10 Possible features)
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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). |
AlphaSense aggregates a wide range of unstructured data sources including earnings transcripts, news, and expert calls. Website and use cases highlight non-traditional sources. | |
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Automated Data Ingestion Support for automated pipelines that regularly fetch and update alternative datasets. |
AlphaSense routinely updates its datasets; platform documentation mentions automated data feed integrations. | |
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Real-time Acquisition Capability to collect and import data with minimal latency. |
No information available | |
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API Integrations Availability of pre-built connectors to popular alternative data providers and APIs. |
APIs for data integration and ingestion with external platforms are documented. | |
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Flexible File Formats Support for a broad set of data formats (CSV, JSON, XML, images, video, etc.). |
Platform supports various unstructured and structured formats, including text, PDF, spreadsheets, and more per product documentation. | |
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Historical Data Access Ability to access and extract historical alternative data records. |
Historical records (e.g., past earnings transcripts, older news) are a central platform feature. | |
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Data Licensing Management In-built tools to track and manage data usage rights and compliance for purchased datasets. |
No information available | |
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Geospatial Coverage Coverage for geospatial data collection across multiple global regions. |
No information available | |
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Data Volume Limits Maximum volume of data that can be ingested in a defined period. |
No information available | |
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User Access Controls on Data Sources Granular permissions to restrict which users can set up/acquire which type of sources. |
User roles and access management for source content referenced in documentation. |
Data Cleaning
(3 Yes /3 Known /10 Possible features)
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Automated Outlier Detection System automatically flags and corrects extreme or inconsistent values. |
No information available | |
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Missing Value Imputation Ability to identify and fill in missing data using statistical algorithms. |
AI-powered imputation algorithms are referenced in AlphaSense's description of how unstructured or incomplete data is parsed and completed. | |
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Deduplication Elimination of duplicate or redundant data entries within or across sources. |
No information available | |
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Error Logging and Reporting Detailed audit trails and error logs for each cleaning operation. |
No information available | |
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Custom Data Cleaning Rules Ability to define and apply user-specified data validation and cleaning logic. |
No information available | |
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Scalability Capacity to handle cleaning tasks for large volumes of data. |
No information available | |
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Automated Quality Checks Regular, scheduled quality control routines to ensure cleaned data conforms to standards. |
No information available | |
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Version Control for Cleaned Data Tracking changes and access to previous versions of cleaned datasets. |
No information available | |
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Data Consistency Validation Checks to ensure data conforms to expected formats and relationships. |
Data consistency validation is typically part of alternative data processing, and AlphaSense's platform claims to check and standardize various source formats. | |
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Anomaly Alerts Automated notifications when significant data anomalies are detected. |
Platform can alert users to data anomalies such as unexpected spikes or missing values, per product materials. |
Data Normalization
(4 Yes /4 Known /10 Possible features)
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Unit Standardization Automated conversion of data into consistent units (e.g., metric, currency). |
AlphaSense normalizes source data, such as currency, time, and various metrics, referenced in data harmonization documentation. | |
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Schema Mapping Tools GUI or code-based tools to map source fields to internal data schemas. |
No information available | |
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Time Alignment Adjustment of data timestamps across sources to a common standard. |
Time alignment across sources for timeline-based search and analytics is a described feature. | |
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Normalization Performance Number of records normalized per minute. |
No information available | |
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Custom Data Transformations Support for user-defined scripts and rules for bespoke normalization. |
No information available | |
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Ontology Management Tools to maintain and apply taxonomy/ontology for alternative datasets. |
No information available | |
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Data Linking Across Sources Ability to join and merge related records from different alternative datasets. |
Product illustrates linking and merging of data points (entities, companies, individuals) across data streams. | |
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Metadata Management Tools for managing standardized metadata about normalized data. |
No information available | |
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Batch Processing Support Capacity to normalize large batches of alternative data files. |
Platform references the ability to process and normalize large ‘batches’ of documents and transcripts. | |
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Cross-Source Consistency Checking Automated validation that normalized fields match across data providers. |
No information available |
Data Enrichment
(8 Yes /8 Known /10 Possible features)
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Entity Resolution Automatically match and merge records referencing the same real-world entity. |
The AI/ML backbone includes entity resolution for matching people and companies across datasets, per product marketing materials. | |
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Geospatial Tagging Append latitude/longitude and geotags to alternative datasets for use in spatial analysis. |
Geotagging is mentioned in use cases involving location-based news/event detection. | |
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Sentiment Analysis Integration Auto-generation of sentiment scores from textual/voice/image data. |
Sentiment analysis of transcripts and news is a core offering of AlphaSense. | |
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Event Tagging Automatic detection and labeling of significant economic, social, or physical events within the data. |
AI algorithms can tag events and news automatically; referenced in product descriptions. | |
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Derived Feature Generation Support for constructing custom indicators based on primary alternative data. |
Users can create custom indicators and dashboards from the primary data, which is a form of derived feature generation. | |
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Industry Classification Mapping Ability to map entities to industry standards (e.g., GICS, NAICS). |
No information available | |
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Third-Party Data Joins Capability to enrich alternative data by merging with third-party or proprietary datasets. |
Platform supports data joining with third-party or user-uploaded data, as per documentation. | |
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Machine Learning-based Scoring Automated scoring of entities using trained machine learning models. |
ML-based scoring of insights and mentions is part of core AI capability. | |
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Audit Trails for Enrichment Processes Detailed logs of all enrichment actions taken. |
No information available | |
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External Reference Data Access API or links to regulatory, financial, or public reference datasets. |
Access to regulatory and reference datasets is cited in AlphaSense’s partner integrations. |
Analytics & Insights
(6 Yes /6 Known /10 Possible features)
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Exploratory Data Analysis Tools Built-in visual and statistical analysis tools for alternative datasets. |
AlphaSense emphasizes exploratory analytics and visual analysis of alternative datasets. | |
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Predictive Model Integration Ability to build, deploy, and run predictive models on alternative data. |
AlphaSense provides predictive insights using ML, supporting integration of predictive models. | |
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Customizable Dashboards Interactive dashboards for visualizing key metrics from alternative data. |
Customizable, interactive dashboards for data visualization and monitoring are demonstrated in product documentation. | |
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Event Detection Algorithms Automated identification of significant new events within alternative data feeds. |
Platform detects and highlights major events in alternative data feeds. Marketed as an automation feature. | |
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Multivariate Analysis Support Ability to analyze complex interdependencies between variables. |
No information available | |
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Natural Language Processing Capabilities Built-in NLP tools for analyzing text-heavy alternative datasets. |
NLP is a central platform feature for analyzing large volumes of text data. | |
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Visualization Export Options Export visualizations and charts in various formats (PDF, PNG, etc.). |
AlphaSense enables exporting visuals and data in various file formats, as described in documentation. | |
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Backtesting Frameworks Ability to test investment strategies on historical alternative data. |
No information available | |
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Statistical Alert Triggers Set alerts when indicators from alternative data cross statistical thresholds. |
No information available | |
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Signal Latency Average time between data update and signal generation. |
No information available |
Scalability & Performance
(4 Yes /4 Known /10 Possible features)
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Maximum Supported Data Volume The largest single dataset size supported for import and processing. |
No information available | |
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Parallel Processing Capability Ability to process multiple data streams or files concurrently. |
AlphaSense platform uses parallel architecture to enhance processing speed, as per engineering documentation. | |
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Elastic Compute Integration Integration with cloud resources to scale up/down compute usage. |
The platform utilizes cloud computing for scalability, documented in product architecture overviews. | |
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Load Balancing Automatic distribution of processing workloads for optimal utilization. |
No information available | |
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Processing Throughput Speed of data throughput during processing operations. |
No information available | |
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Scalable Storage Support Expandable data storage to accommodate increasing data volumes. |
Cloud-based storage options are highlighted, with support for scaling as data grows. | |
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Data Archival Automated, cost-effective archiving of old alternative datasets. |
No information available | |
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Batch and Real-Time Processing Modes Support for both scheduled/batch and continuous real-time data pipelines. |
Supports both batch uploads (large datasets) and real-time streaming from newswires/expert calls. | |
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Disaster Recovery/Rollback Systems for rapid restore from backup or rollback points. |
No information available | |
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Processing Error Handling Automated management of processing failures and retries. |
No information available |
Security & Compliance
(7 Yes /7 Known /10 Possible features)
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Role-Based Access Control Fine-grained permission management for users and groups. |
RBAC and user permissioning are customer requirements covered by platform documentation. | |
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Data Encryption in Transit Encryption for alternative data while in transit between systems. |
Data is encrypted in-transit using standard TLS/SSL, as listed in security page. | |
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Data Encryption at Rest Encryption of alternative data stored in all databases and filesystems. |
Data encryption at rest is enforced for the platform per security/compliance information. | |
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GDPR Compliance Tools Support for compliance with EU GDPR and related privacy regulations. |
Security/Privacy pages confirm GDPR compliance support; privacy controls available to users. | |
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Audit Logging Immutable logs of user activity and data changes. |
User and data access logs are maintained for compliance and audit, per product documentation. | |
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Integrated Consent Management Tools to track legal consents for data use across sources. |
No information available | |
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Data Masking/Tokenization Obfuscation of sensitive fields to protect personal information. |
Platform offers data masking functionality for sensitive fields, stated on the product’s security feature page. | |
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Vendor Due Diligence Framework to vet and approve external data providers for compliance. |
No information available | |
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User Authentication Protocols Supports modern authentication standards (e.g., SSO, MFA). |
Supports SSO and multi-factor authentication, noted on security features section. | |
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Automated Regulatory Reporting Automated generation of reports required by financial regulators. |
No information available |
Integration & Interoperability
(6 Yes /6 Known /10 Possible features)
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Standardized Data Export Ability to export alternative data in standard formats (e.g., FIX, CSV, Parquet, JSON). |
CSV, JSON and other export options are confirmed features per AlphaSense documentation. | |
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Pre-built Connectors to OMS/PMS Out-of-the-box integration with order and portfolio management systems. |
No information available | |
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Custom API Support Provision of a customizable API for bespoke use cases. |
API is described as flexible and customizable in integration materials. | |
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Webhooks and Event Streaming Push updates and events to downstream systems via webhooks. |
No information available | |
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BI Tool Integration Built-in adapters for business intelligence/data visualization platforms. |
BI integrations (Tableau, PowerBI, etc.) are documented as supported. | |
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Cloud Storage Integrations Support for uploading or syncing data with major cloud providers (AWS, GCP, Azure). |
Supports cloud data storage integration (AWS, Azure). | |
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Python/R SDKs Official software libraries for interacting with the system programmatically. |
SDKs are available for programmatic access, as noted in developer docs. | |
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Batch Data Download Scheduling Automate the extraction of new data in regular intervals. |
No information available | |
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Custom Field Mapping Easily map alternative data fields to the internal structures of downstream systems. |
No information available | |
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Data Lineage Visualization Visual trace of data flow and transformations for downstream users. |
Provenance and lineage tools shown in product UI for enterprise customers. |
Usability & User Experience
(8 Yes /8 Known /10 Possible features)
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Self-Service Data Discovery Non-technical users can search and preview available alternative datasets. |
Search and preview capabilities for datasets described as 'self-service' for users. | |
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Point-and-Click Data Pipeline Design Visual editors for creating data processing and transformation workflows. |
Visual data pipeline construction referenced for premium/enterprise clients. | |
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Customizable User Dashboards Users can assemble dashboards tailored to their needs. |
Users can build custom dashboards tailored to their workflows. | |
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In-Platform Documentation & Help Contextual help and API documentation available within the system. |
Detailed help and API documentation are available in-platform. | |
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Global Search Search across datasets, metadata, and processing logs. |
Full-platform and data search included in product UI video demonstrations. | |
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Process Monitoring UI Graphical overview of all ongoing and completed processes. |
Graphical monitoring of data pipelines is part of the Ops/Monitoring dashboard. | |
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Personalized Notifications Users receive alerts for errors or data arrivals relevant to them. |
Custom notifications for user-specified alerts and workflow completions are described. | |
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API Documentation Quality Score A rating or score for the completeness and usability of the provided API docs. |
No information available | |
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Language Localization Support for multiple languages in the UI. |
No information available | |
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Accessibility Compliance Follows accessibility standards for inclusive UI design. |
AlphaSense states it is built to meet accessibility requirements for enterprise clients. |
Monitoring & Operations
(4 Yes /4 Known /10 Possible features)
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Data Pipeline Health Monitoring Real-time status views and alerts for all active data flows. |
Dashboard includes monitoring and alerting for ingestion pipeline health. | |
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Automated Failure Recovery Automatic restart or rerouting in case of pipeline errors. |
Automated job restart/recovery described in AlphaSense cloud platform reliability docs. | |
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System Uptime SLA Percentage of time the system is contractually guaranteed to be available. |
No information available | |
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Job Scheduling and Queuing Manage concurrent tasks and prioritize urgent processes. |
No information available | |
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Real-time Error Notifications Immediate alerts to relevant teams upon failures. |
Real-time notifications are set up for ingestion and process failures as per documentation. | |
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API Latency Monitoring Tracks response times of API endpoints. |
No information available | |
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Resource Usage Analytics Metrics and trends on compute, memory, and storage usage. |
Resource monitoring and analytics specified for enterprise deployments. | |
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Capacity Planning Tools Forecast future system demands using historical trends. |
No information available | |
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Manual Job Restart/Intervention Allow operators to manually intervene in processing jobs. |
No information available | |
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Operational Audit Logs Detailed records of all operational activities and interventions. |
No information available |
Support & Vendor Services
(9 Yes /9 Known /10 Possible features)
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24/7 Technical Support Technical helpdesk is available around the clock. |
24/7 support is offered for enterprise accounts (from support section and client testimonials). | |
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Dedicated Account Management Assigned representative familiar with your implementation and needs. |
Enterprise offerings include account management per case studies. | |
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Implementation Services Availability of vendor-led onboarding and integration projects. |
AlphaSense provides onboarding/integration support as standard. | |
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Custom Feature Development Vendor is willing to build bespoke features upon request. |
Bespoke and enterprise features on request are common in sales literature. | |
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Knowledge Base and Training Materials Comprehensive documentation and self-paced training content. |
Training documentation and webinars readily available. | |
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Onsite Training Vendor offers onsite workshops or training as part of onboarding. |
Onsite and virtual training are offered for enterprise customers. | |
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Service Level Agreement (SLA) Terms Contractually specified guarantees on support response and issue resolution times. |
Standard SLA contracts for support and uptime available for institutional clients. | |
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User Community and Forums Active user groups and forums for community support. |
User forums and community resources are listed as part of customer support. | |
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Regular Product Updates Scheduled enhancement releases and security patching. |
Platform is updated regularly with new features and enhancements, as announced on the website. | |
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Third-Party Certification Support Vendor compliance with recognized security, privacy, or quality standards. |
No information available |
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