Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Unlike most data management systems, PHEMI Health DataLab is built with Privacy-by-Design principles, not as an add-on. This means privacy and data governance are built-in from the ground up, providing you with distinct advantages:
Lets analysts work with data without breaching privacy guidelines
Includes a comprehensive, extensible library of de-identification algorithms to hide, mask, truncate, group, and anonymize data.
Creates dataset-specific or system-wide pseudonyms enabling linking and sharing of data without risking data leakage.
Collects audit logs concerning not only what changes were made to the PHEMI system, but also data access patterns.
Automatically generates human and machine-readable de- identification reports to meet your enterprise governance risk and compliance guidelines.
Rather than a policy per data access point, PHEMI gives you the advantage of one central policy for all access patterns, whether Spark, ODBC, REST, export, and more
Description
Data management software is predominantly utilized by enterprise business teams, necessitating a design that prioritizes user-friendliness, automation, and intelligence. Furthermore, it is essential for the software to comply with a variety of industry-specific regulations and data protection mandates. To ensure that business teams can make informed, data-driven strategic decisions, the data must maintain standards of adequacy, accuracy, consistency, high quality, and secure accessibility. The software promotes an integrated methodology for managing data privacy, ensuring data quality, overseeing test data management, facilitating data analytics, and supporting data modeling. Additionally, it effectively manages escalating data volumes through a service engine-based architecture, while also addressing specialized data processing needs beyond standard functionalities via a user-defined function framework and Python adapter. Moreover, it establishes a streamlined governance framework that focuses on data privacy and quality management, enhancing overall data integrity. As a result, organizations can confidently rely on this software to support their evolving data requirements.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
Yes
Cloudera
Yes
Adobe Advertising Cloud
No
Apache Hive
Yes
Apache Spark
Yes
Boomi
No
Bosch IoT Suite
No
CA Flowdock
No
Commvault Cloud
No
Creatio
No
Integrations
Amazon Web Services (AWS)
Yes
Cloudera
Yes
Adobe Advertising Cloud
Yes
Apache Hive
No
Apache Spark
No
Boomi
Yes
Bosch IoT Suite
Yes
CA Flowdock
Yes
Commvault Cloud
Yes
Creatio
Yes
Pricing Details
Contact PHEMI to learn about our value-based pricing.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
PHEMI Systems
Founded
2013
Country
Canada
Website
www.phemi.com
Vendor Details
Company Name
Tata Consultancy Services
Founded
1968
Country
India
Website
www.tcs.com/mastercraft/dataplus
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
Yes
High Volume Processing
Yes
No-Code Sandbox
No
Predictive Analytics
Yes
Templates
No
Data Governance
Access Control
Yes
Data Discovery
Yes
Data Mapping
Yes
Data Profiling
Yes
Deletion Management
No
Email Management
No
Policy Management
Yes
Process Management
Yes
Roles Management
Yes
Storage Management
Yes
Data Lineage
Database Change Impact Analysis
No
Filter Lineage Links
No
Implicit Connection Discovery
No
Lineage Object Filtering
No
Object Lineage Tracing
No
Point-in-Time Visibility
No
User/Client/Target Connection Visibility
No
Visual & Text Lineage View
No
Data Management
Customer Data
No
Data Analysis
Yes
Data Capture
No
Data Integration
Yes
Data Migration
No
Data Quality Control
No
Data Security
Yes
Information Governance
Yes
Master Data Management
No
Match & Merge
No
Data Privacy Management
Access Control
Yes
CCPA Compliance
Yes
Consent Management
Yes
Data Mapping
Yes
GDPR Compliance
Yes
Incident Management
No
PIA / DPIA
No
Policy Management
Yes
Risk Management
Yes
Sensitive Data Identification
Yes
Data Security
Alerts / Notifications
No
Antivirus/Malware Detection
No
At-Risk Analysis
No
Audits
No
Data Center Security
No
Data Classification
Yes
Data Discovery
Yes
Data Loss Prevention
No
Data Masking
Yes
Data-Centric Security
Yes
Database Security
No
Encryption
Yes
Identity / Access Management
Yes
Logging / Reporting
No
Mobile Data Security
No
Monitor Abnormalities
No
Policy Management
Yes
Secure Data Transport
No
Sensitive Data Compliance
Yes
Product Features
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No
Data Quality
Address Validation
No
Data Deduplication
No
Data Discovery
No
Data Profililng
No
Master Data Management
No
Match & Merge
No
Metadata Management
No