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Average Ratings 0 Ratings
Description
OpenText Structured Data Manager (Voltage) provides enterprises with a unified solution for discovering, governing, and securing structured data as it moves through various stages of its lifecycle. It streamlines compliance by applying automated policies for classification, retention, migration, and deletion across hybrid IT environments. The platform relocates inactive application data into governed, cost-efficient archives, allowing organizations to retire outdated systems without losing business-critical information. Its test data management capabilities ensure that development and QA teams can safely work with masked, privacy-compliant data. By reducing the footprint of legacy data, companies can improve performance, cut storage costs, and enhance audit readiness. The solution also supports cloud migrations with policies that ensure sensitive information remains governed throughout transitions. Organizations benefit from its ability to create secure, compliant testing environments while automating workflows that reduce operational overhead. Ultimately, it provides a structured and scalable approach to minimizing risk while enabling modernization initiatives.
Description
OpenText eDiscovery offers a fully integrated solution that empowers legal teams to manage the entire e-discovery lifecycle with speed and precision using cutting-edge AI and analytics. By leveraging machine learning and generative AI technologies, the platform prioritizes likely relevant documents, drastically cutting down on the volume that requires manual review and improving accuracy. It efficiently collects data from over 45 sources, including ECM systems, emails, and cloud repositories, while automating personal data protection through advanced redaction capabilities. Early case assessment tools provide actionable insights early in the legal process, enabling faster case strategies. Users benefit from comprehensive analytics, such as sentiment analysis and entity recognition, powered by OpenText’s proprietary AI. Deployment flexibility allows organizations to choose from on-premises, public or private cloud, or hybrid models, accommodating varied data security needs. The platform also integrates seamlessly with case management systems, ensuring smooth production and review workflows. Additionally, expert professional services help accelerate projects and ensure optimized outcomes across all stages of e-discovery.
API Access
Has API
API Access
Has API
Integrations
Apache Hive
Microsoft 365
Microsoft Access
Microsoft Excel
Microsoft SharePoint
OpenText Magellan
Oracle Cloud Infrastructure
SAP Cloud Platform
SAP HANA
SAP SuccessFactors
Integrations
Apache Hive
Microsoft 365
Microsoft Access
Microsoft Excel
Microsoft SharePoint
OpenText Magellan
Oracle Cloud Infrastructure
SAP Cloud Platform
SAP HANA
SAP SuccessFactors
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
OpenText
Founded
1991
Country
Canada
Website
www.opentext.com/products/structured-data-manager
Vendor Details
Company Name
OpenText
Founded
1991
Country
Canada
Website
www.opentext.com/products/ediscovery
Product Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Product Features
eDiscovery
Case Analytics
Compliance Management
Discussion Threads
Document Indexing
Document Tracking
Full Text Extraction
Keyword Search
Metadata Extraction
Topic Clustering