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What is PHEMI Health DataLab?

In contrast to many conventional data management systems, PHEMI Health DataLab is designed with Privacy-by-Design principles integral to its foundation, rather than as an additional feature. This foundational approach offers significant benefits, including: It allows analysts to engage with data while adhering to strict privacy standards. It incorporates a vast and adaptable library of de-identification techniques that can conceal, mask, truncate, group, and anonymize data effectively. It facilitates the creation of both dataset-specific and system-wide pseudonyms, enabling the linking and sharing of information without the risk of data leaks. It gathers audit logs that detail not only modifications made to the PHEMI system but also patterns of data access. It automatically produces de-identification reports that are accessible to both humans and machines, ensuring compliance with enterprise governance risk management. Instead of having individual policies for each data access point, PHEMI provides the benefit of a unified policy that governs all access methods, including Spark, ODBC, REST, exports, and beyond, streamlining data governance in a comprehensive manner. This integrated approach not only enhances privacy protection but also fosters a culture of trust and accountability within the organization.

What is DataLab?

DataLab streamlines a seamless and secure method for integrating data from multiple sources, such as CSV files and Google Sheets, into platforms like Snowflake and BigQuery. Featuring an AI Assistant, DataLab analyzes your data's structure, reviews past interactions, and implements top-tier techniques to provide accurate responses to your questions. To build trust in the insights produced, the AI Assistant generates and executes code that users can easily review, adjust, and share. You can disseminate your results without jeopardizing sensitive information or credentials, as all data is protected through encryption both at rest and while being transmitted. Users benefit from single sign-on capabilities via SAML or OIDC connections, which facilitate directory synchronization. Moreover, you can control user permissions, specifying who can execute particular tasks within DataLab and which workbooks and data assets are accessible to them. The aim is to democratize access to data and AI skills, enabling organizations and teams of all sizes to overcome skill gaps and improve their decision-making processes driven by data. By leveraging DataLab, businesses not only enhance their analytical prowess but also cultivate a culture of data literacy among their teams, ultimately fostering a more informed and agile organization. This holistic approach ensures that every team member can contribute effectively to data-driven initiatives.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Apache Ranger
Cloudera
Hadoop
Microsoft Azure
Tableau

Integrations Supported

Amazon Redshift
Amazon S3
GPT-4
Google Cloud BigQuery
Google Cloud Datalab
Google Sheets
Microsoft Excel
MySQL
NeuroBlock
Python
R
SQL
SQL Server
Snowflake

API Availability

Has API

API Availability

Pricing Information

Contact PHEMI to learn about our value-based pricing.

Pricing Information

$4.92 per month
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

PHEMI Systems

Date Founded

2013

Company Location

Canada

Company Website

www.phemi.com

Company Facts

Organization Name

DataLab

Company Location

United States

Company Website

www.datacamp.com/datalab/

Categories and Features

Big Data

Data Warehousing
High Volume Processing
Predictive Analytics

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Policy Management
Process Management
Roles Management
Storage Management

Data Lineage

Not specified

Data Management

Data Analysis
Data Integration
Data Security
Information Governance

Data Masking

Not specified

Data Privacy Management

Access Control
CCPA Compliance
Consent Management
Data Mapping
GDPR Compliance
Policy Management
Risk Management
Sensitive Data Identification

Data Security

Data Classification
Data Discovery
Data Masking
Data-Centric Security
Encryption
Identity / Access Management
Policy Management
Sensitive Data Compliance

Hybrid Cloud Storage

Not specified

Categories and Features

AI Data Analytics

Not specified

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