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features
design
support

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Description

digna is a next-generation European data quality and observability platform that empowers organizations to improve data trust, reduce downtime, and uncover actionable insights. Its five independent modules — Data Anomalies, Data Analytics, Data Timeliness, Data Validation, and Data Schema Tracker — address both data quality and operational/business monitoring. From detecting unexpected drops in record counts to spotting surges in product sales, digna gives you visibility across your entire data ecosystem. Key advantages: •⁠  ⁠In-database processing for full privacy & compliance •⁠  ⁠AI-powered anomaly detection with zero manual rules •⁠  ⁠Business trend analysis through statistical insights •⁠  ⁠Regulatory compliance with flexible validation rules •⁠  ⁠Pipeline protection via schema change tracking Trusted in finance, healthcare, telecom, and government, digna integrates seamlessly with Snowflake, Databricks, Teradata, and more — whether on-premises, in the cloud, or hybrid. With digna, your data is not just monitored — it’s understood. Use Cases Banking & Finance – Detect unusual spikes in transaction volumes to ensure both regulatory compliance and fraud prevention. Healthcare – Monitor data timeliness to guarantee patient records and lab results arrive on time for critical decision-making. Retail & eCommerce – Track sales trends and product anomalies to quickly identify fast-moving or underperforming items. Telecommunications – Prevent schema drift in massive customer databases to avoid broken pipelines and billing errors.

Description

Gain a comprehensive understanding of your data through various methods. While automatic profiling offers a foundational overview, enhanced functionalities cater to both technical and business users, enabling a more thorough exploration. With the integration of automation, pattern-based analysis, and statistical methods, you can acquire the in-depth insights necessary for informed decision-making. A broad array of rule-building tools empowers you to manage data quality across different tiers. You can assess standard metrics such as validity, completeness, consistency, accuracy, and timeliness, while also incorporating tailored metrics to fit specific needs. Advanced data quality is ensured through scenario-based rules that yield meaningful and context-sensitive results. Rectify data quality issues and enhance data for more significant insights, as automated correction features efficiently manage most tasks with consistent and traceable decision-making processes. Additionally, issue and workflow management facilitate human-led improvement initiatives. Ultimately, this comprehensive approach allows you to construct a more detailed and accurate representation of your data, employing techniques from entity resolution to complex deduplication and householding, thereby enriching your understanding even further.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

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

Integrations

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

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

digna GmbH

Founded

2019

Country

Austria

Website

www.digna.ai

Vendor Details

Company Name

MIOsoft

Founded

1998

Country

United States

Website

www.miosoft.com/products/miovantage/index.html

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

Data Quality

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

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

Alternatives

Alternatives

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Digna

digna GmbH