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What is data²?

data² serves as an enterprise analytics and decision-intelligence platform that leverages AI to unify various data sources, delivering clear and actionable insights tailored for complex operational environments. A key feature of its architecture is explainable AI (eXAI), allowing organizations to understand not only the outputs of an AI model but also the justification for those outcomes, thereby providing traceable support for every recommendation made. The flagship product, reView, aggregates information from diverse organizational systems and transforms it into an integrated intelligence framework, which aids in the analysis and visualization of interconnections among different datasets. This approach promotes the rapid interpretation of large and intricate datasets while maintaining full traceability to the original data sources. Additionally, it emphasizes the importance of "hallucination-resistant" AI, ensuring that conclusions are drawn from verifiable information rather than ambiguous model responses, which in turn enhances trust in the insights generated. Consequently, organizations are empowered to base their decisions on solid data rather than conjectural assessments, ultimately leading to improved strategic outcomes. The incorporation of such technology not only streamlines decision-making processes but also fortifies organizational confidence in the analytical results produced.

What is Digna?

Digna represents an innovative AI-driven approach to tackling the complexities of data quality management in today's landscape. Its versatility allows it to be applied across various industries, such as finance and healthcare, without being limited to a specific domain. With a strong commitment to privacy, Digna also guarantees adherence to rigorous regulatory standards. Furthermore, it is designed to expand and adapt alongside your evolving data infrastructure. Whether deployed on-premises or in the cloud, Digna is crafted to fit seamlessly with your organization's specific needs and security requirements. Leading the way in data quality solutions, Digna combines an intuitive interface with advanced AI analytics, making it a top choice for companies striving to enhance their data integrity. Its capabilities extend beyond that of a mere tool, providing real-time monitoring and easy integration, positioning Digna as a crucial ally in achieving exceptional data quality. By partnering with Digna, organizations can confidently navigate the path to superior data management and ensure the reliability of their information.

Media

Media

Integrations Supported

IBM Netezza Performance Server
MariaDB
MySQL
PostgreSQL Maestro
SAP HANA
SQL Server
Snowflake

Integrations Supported

IBM Netezza Performance Server
MariaDB
MySQL
PostgreSQL Maestro
SAP HANA
SQL Server
Snowflake

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

data²

Date Founded

2023

Company Location

United States

Company Website

www.data2.ai/

Company Facts

Organization Name

Digna

Date Founded

2019

Company Location

Austria

Company Website

www.digna.ai

Categories and Features

Categories and 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

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

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