Digna

Digna

digna GmbH
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About

digna is a data quality and observability platform designed to monitor, analyze, and validate data directly within enterprise data environments. It combines anomaly detection, time-series analytics, and validation into a unified system that helps teams detect issues early and understand how data behaves over time. Core Capabilities * Data Anomaly Detection
Identifies changes in data volume, distribution, and behavior using statistical methods and AI-driven models without relying on manually defined rules. * Time-Series Analytics
Built-in analytical methods (regression, pattern detection, seasonality analysis) allow users to interpret trends and deviations directly within the platform. * Data Timeliness Monitoring
Tracks expected data arrival times and identifies delays across pipelines and data flows. * Data Validation
Supports rule-based validation with reusable templates and centralized definitions of allowed values. * Schema Change Tracking
Detects structural changes in dat

About

Graphed is an AI-driven business intelligence and analytics platform that helps teams connect all their data sources in minutes without technical skills and transform them into real-time dashboards, charts, reports, and insights with a conversational experience instead of manual BI tooling. Users can link platforms such as Google Analytics, Shopify, Stripe, Salesforce, Postgres, Google Sheets, Klaviyo, ad platforms, and CRM systems to create a unified data warehouse and eliminate fragmented reporting, letting the system manage the data pipeline, storage, and visualization. Once connected, teams can ask plain-English questions of their data and receive automatically generated visualizations, analysis, and explanations that reveal performance trends, underperforming campaigns, revenue drivers, churn metrics, pipeline health, and other business KPIs without writing queries or building charts manually.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

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

Audience

Marketing, sales, SaaS, and ecommerce teams needing a platform to unify data sources, generate dashboards and visual insights, and ask plain-English questions to understand performance

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

digna GmbH
Founded: 2019
Austria
www.digna.ai

Company Information

Graphed
United States
www.graphed.com

Alternatives

Alternatives

Categories

Categories

Data Quality Features

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

Integrations

Amplitude
Facebook Ads
Google Ads
Google Analytics
Google Search Console
Google Sheets
HubSpot CRM
Klaviyo
MariaDB
Meta Ads
MySQL
PostgreSQL
PostgreSQL Maestro
SAP HANA
SQL Server
Salesforce
Shopify
Snowflake
Stripe
Supabase

Integrations

Amplitude
Facebook Ads
Google Ads
Google Analytics
Google Search Console
Google Sheets
HubSpot CRM
Klaviyo
MariaDB
Meta Ads
MySQL
PostgreSQL
PostgreSQL Maestro
SAP HANA
SQL Server
Salesforce
Shopify
Snowflake
Stripe
Supabase
Claim Digna and update features and information
Claim Digna and update features and information
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