Audience

Data warehouses, data lakes, data lakehouses, banks, retail, hospitals

About Digna

Digna is an AI-powered anomaly detection solution designed to meet the challenges of modern data quality management. It's domain agnostic, meaning it seamlessly adapts to various sectors, from finance to healthcare. Digna prioritizes data privacy, ensuring compliance with stringent data regulations. Moreover, it's built to scale, growing alongside your data infrastructure. With the flexibility to choose cloud-based or on-premises installation, Digna aligns with your organizational needs and security policies.

In conclusion, Digna stands at the forefront of modern data quality solutions. Its user-friendly interface, combined with powerful AI-driven analytics, makes it an ideal choice for businesses seeking to improve their data quality. With its seamless integration, real-time monitoring, and adaptability, Digna is not just a tool; it’s a partner in your journey towards impeccable data quality.

Integrations

Ratings/Reviews

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Company Information

Digna
Founded: 2019
Austria
www.digna.ai

Videos and Screen Captures

Your Weekly Data Overview at a Glance  Immediately upon login, Digna presents a comprehensive weekly data overview, offering insights and detecting anomalies instantly.

Your Weekly Data Overview at a Glance Immediately upon login, Digna presents a comprehensive weekly data overview, offering insights and detecting anomalies instantly.

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Product Details

Platforms Supported
Cloud
On-Premises
Training
Documentation
Live Online
Videos
Support
Phone Support

Digna Frequently Asked Questions

Q: What kinds of users and organization types does Digna work with?
Q: What languages does Digna support in their product?
Q: What kind of support options does Digna offer?
Q: What other applications or services does Digna integrate with?
Q: What type of training does Digna provide?
Q: What pricing for training is available for Digna?

Digna Product Features

Data Management

Information Governance
Data Analysis
Data Migration
Data Quality Control
Master Data Management
Customer Data
Data Integration
Match & Merge
Data Capture
Data Security

Data Quality

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