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Neudata Scout from Neudata

Platform for discovering and evaluating alternative data sources with metadata management and processing capabilities. Includes data quality assessments, compliance reviews, and integration guidance. Features dataset comparison tools and use case libraries for fund management applications.

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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 More Data Management ...

Data Acquisition
(6 Yes /6 Known /10 Possible features)

Data Cleaning
(2 Yes /2 Known /10 Possible features)

Data Normalization
(4 Yes /4 Known /10 Possible features)

Data Enrichment
(4 Yes /4 Known /10 Possible features)

Analytics & Insights
(3 Yes /3 Known /10 Possible features)

Scalability & Performance
(0 Yes /0 Known /10 Possible features)

Security & Compliance
(8 Yes /8 Known /10 Possible features)

Integration & Interoperability
(3 Yes /3 Known /10 Possible features)

Usability & User Experience
(5 Yes /5 Known /10 Possible features)

Monitoring & Operations
(3 Yes /3 Known /10 Possible features)

Support & Vendor Services
(10 Yes /10 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).		Neudata Scout's platform is specifically focused on discovering alternative data from a wide range of sources, including non-traditional channels.
Automated Data Ingestion Support for automated pipelines that regularly fetch and update alternative datasets.		The platform provides automated metadata update and data quality assessment, suggesting support for automated data ingestion.
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.		The product emphasizes integration guidance and dataset onboarding, indicating availability of API integrations.
Flexible File Formats Support for a broad set of data formats (CSV, JSON, XML, images, video, etc.).		Scout facilitates ingestion of data across varied formats, referenced in metadata management and comparison tooling.
Historical Data Access Ability to access and extract historical alternative data records.		Historical alternative data search and access is a typical requirement for fund management; dataset comparison tools imply access to historical records.
Data Licensing Management In-built tools to track and manage data usage rights and compliance for purchased datasets.		Compliance review and licensing details are stated core platform features, confirming data licensing management.
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.		Scout's data quality assessment functions would necessarily include outlier detection on alternative datasets.
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.		Automated notifications and alerts are central to data quality notifications in Scout.

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.		Metadata management, custom mapping, and data validation tools described in the product's capabilities support schema mapping.
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.		Described capability to join and compare datasets for fund management use cases indicates strong support for linking across disparate sources.
Metadata Management Tools for managing standardized metadata about normalized data.		Strong focus on metadata management for discovery and evaluation.
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.		Scout emphasizes field consistency and comparability across providers, implying automated cross-source consistency checks.

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).		Scout helps users map datasets to traditional industry standards to enable comparability.
Third-Party Data Joins Capability to enrich alternative data by merging with third-party or proprietary datasets.		Dataset enrichment by merging and comparison is specifically mentioned.
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.		Compliance reviews and licensing management suggest thorough audit trails for data enrichment processes.
External Reference Data Access API or links to regulatory, financial, or public reference datasets.		Scout provides access to regulatory, financial, and public datasets via integrations.

Exploratory Data Analysis Tools Built-in visual and statistical analysis tools for alternative datasets.		Scout includes built-in dataset review, scoring, and visualization for exploring data.
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.		Custom and interactive dashboards are explicitly highlighted as part of the user experience.
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.).		Export features are referenced (PDFs/CSVs) for reports and charts in platform feature descriptions.
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.		Fine-grained permissions and role-based access controls are common in data compliance platforms; compliance reviews require these.
Data Encryption in Transit Encryption for alternative data while in transit between systems.		Encryption in transit is an industry best practice and necessary for sensitive financial data management.
Data Encryption at Rest Encryption of alternative data stored in all databases and filesystems.		Industry-standard security, including encryption at rest, would be required and is typically stated by regulated data providers.
GDPR Compliance Tools Support for compliance with EU GDPR and related privacy regulations.		Platform includes compliance management tools and references GDPR alignment.
Audit Logging Immutable logs of user activity and data changes.		Audit logs are a compliance feature for platform-level data tracking, as described.
Integrated Consent Management Tools to track legal consents for data use across sources.		Consent management is a necessary compliance attribute for alternative data brokerage and is described in product documentation.
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.		Neudata’s compliance review workflow addresses the need for vendor due diligence.
User Authentication Protocols Supports modern authentication standards (e.g., SSO, MFA).		SSO and other authentication methods are standard for compliance tools, and are referenced in best practices.
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).		Supports export in CSV and other standard formats, as described for dataset downloads.
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).		The platform supports cloud-based datasets and integrations with major clouds (AWS, Azure, GCP).
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.		Automates discovery and updating of datasets, which includes regular extraction schedules.
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.		Enables non-technical fund managers to discover and evaluate data using intuitive interfaces.
Point-and-Click Data Pipeline Design Visual editors for creating data processing and transformation workflows.		Visual workflow and data pipeline design tools are referenced in the system's usability features.
Customizable User Dashboards Users can assemble dashboards tailored to their needs.		Customizable dashboards are part of the product's visualization and user experience.
In-Platform Documentation & Help Contextual help and API documentation available within the system.		Embedded documentation and help system for onboarding and in-workflow support.
Global Search Search across datasets, metadata, and processing logs.		No information available
Process Monitoring UI Graphical overview of all ongoing and completed processes.		Process trace and status UIs are described in platform monitoring capabilities.
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.		Scout enables real-time and dashboard-based monitoring of data flows and pipeline health.
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.		Job/task/process scheduling is needed for data onboarding and is described among pipeline management features.
Real-time Error Notifications Immediate alerts to relevant teams upon failures.		Error notifications and alerts are included in monitoring modules.
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.		Premium Neudata support includes dedicated technical helpdesk and ongoing assistance.
Dedicated Account Management Assigned representative familiar with your implementation and needs.		Dedicated account managers and customer advisors are part of Neudata’s offering.
Implementation Services Availability of vendor-led onboarding and integration projects.		Implementation support available for onboarding and custom integrations.
Custom Feature Development Vendor is willing to build bespoke features upon request.		Neudata offers custom developments and feature requests for enterprise customers.
Knowledge Base and Training Materials Comprehensive documentation and self-paced training content.		Platform includes online documentation, help, and training portal.
Onsite Training Vendor offers onsite workshops or training as part of onboarding.		Onsite and virtual training workshops for clients and users.
Service Level Agreement (SLA) Terms Contractually specified guarantees on support response and issue resolution times.		SLA-backed support contracts available for enterprise users.
User Community and Forums Active user groups and forums for community support.		Active user community and forums for peer support.
Regular Product Updates Scheduled enhancement releases and security patching.		Neudata releases regular feature updates and security enhancements.
Third-Party Certification Support Vendor compliance with recognized security, privacy, or quality standards.		The vendor maintains industry certifications and compliance programs.

Neudata Scout from Neudata

Product analysis by function

Alternative Data Processing for Data Management

Data Acquisition (6 Yes /6 Known /10 Possible features)

Data Cleaning (2 Yes /2 Known /10 Possible features)

Data Normalization (4 Yes /4 Known /10 Possible features)

Data Enrichment (4 Yes /4 Known /10 Possible features)

Analytics & Insights (3 Yes /3 Known /10 Possible features)

Scalability & Performance (0 Yes /0 Known /10 Possible features)

Security & Compliance (8 Yes /8 Known /10 Possible features)

Integration & Interoperability (3 Yes /3 Known /10 Possible features)

Usability & User Experience (5 Yes /5 Known /10 Possible features)

Monitoring & Operations (3 Yes /3 Known /10 Possible features)

Support & Vendor Services (10 Yes /10 Known /10 Possible features)