Digna

Most organizations track data metrics, but very few turn them into actionable business insights.

digna Data Analytics changes everything.

With digna, teams can:

📈Analyze long-term trends in data behavior

💡Detect hidden volatility and performance regressions

⚠️ Identify slow-growing issues before they become critical

🏗️ Understand how workloads impact business SLAs

This is more than monitoring.
It’s the intelligence layer that reveals why things happen, and what needs to change.

If your team needs clear visibility into data health, stability, and performance, digna Data Analytics delivers it with precision.

Learn more at digna.ai/data-analytics

When data powers an entire nation’s healthcare system, quality isn’t optional — it’s essential.

The Austrian IT service provider GmbH manages complex data flows for multiple social insurance institutions. With digna, they achieved:

✅ AI-powered anomaly detection — no more 9,000 manual rules.
✅ Real-time timeliness monitoring — ensuring data arrives on time, every time.
✅ Reliable insights across 30+ data sources.

digna helps ITSV ensure data integrity and transparency across critical health systems — proving that even the most complex data can be trusted.

Read the full story → https://www.digna.ai/customer-stories/itsv

Built in Europe. Trusted worldwide.

At digna, we believe data quality and observability should never come at the expense of privacy or control.

Our AI-powered modules run directly in your database — no data movement, no blind spots.

digna gives enterprises full visibility into data health, from real-time anomaly detection to record-level validation — all while meeting the strictest European data standards.

The result? Reliable data. Confident decisions. Stronger trust.

🔗 Explore digna.ai

BIG NEWS: digna Release 2025.09 is LIVE!

We’re excited to announce digna Release 2025.09 — introducing a new modular architecture and five specialized modules for Data Quality and Observability.

What's New in the digna Suite?

✅ Modular Architecture: Enable only the modules you need and scale on demand.

✅ 5 Specialized Modules: Data Anomalies, Data Analytics, Data Timeliness, Data Validation, and Data Schema Tracker

✅ Enterprise Security: MFA support via OIDC Single Sign-On.

✅ Smarter Alerts: Per-module notification emails to end alert fatigue.

Start building a flexible, specialized data trust ecosystem today.

Explore what’s new →

Introducing digna Release 2025.09 — A Modular Architecture for Data Quality and Observability - TechWriter digna Release 2025.09 introduces a fully modular AI-powered platform with five new data quality and observability modules, enhanced security, and smarter notifications.

Data validation isn’t just a checkbox.

In this blog post, we unpack how modern validity checker tools, statistical anomaly detection, and automated workflows are reshaping how organizations validate their data at scale.

If you care about accuracy, integrity, and operational excellence, this one’s for you.

👉 Read now: https://www.digna.ai/mastering-data-validation-why-validity-checker-tools-are-essential-for-modern-data-quality-

Mastering Data Validation: Why Validity Checker Tools Are Essential for Modern Data Quality Discover why validity checkers and data validation tools are essential for modern data quality. Learn how Digna detects anomalies with AI and ML.

🇪🇺 Built in Europe. Designed for Modern Data. Powered by AI.

At digna, we’re proud to be a European innovation in the world of data quality and observability — helping enterprises move beyond brittle, manual rules with a smarter, AI-driven approach.

Our platform is designed to ensure high standards and reliable performance by delivering:

✅ Automated monitoring
✅ Self-adjusting thresholds
✅ Real-time anomaly detection
✅ Zero rule maintenance

Because modern data demands modern tools. Learn more at digna.ai

💥 95% of data issues start silently.

By the time they hit your dashboards — it’s already too late.

That’s why anomaly detection isn’t just a nice-to-have — it’s a non-negotiable.

We just dropped a new blog post:

📘 “Anomaly Detection: How to Spot and Address Data Issues Early”

Inside, we unpack:

📊 What makes statistical anomalies so dangerous

🧠 How modern ML models detect the undetectable

⚠️ Why early detection means fewer downstream disasters

⚙️ How digna uses autometrics, forecasting, and autothresholds to stay ahead of the curve.

If your data quality strategy still relies on static rules and late alerts… it’s time to rethink your toolkit.

🧭 Read the full post: https://www.digna.ai/anomaly-detection-how-to-spot-and-address-data-issues-early-

🧪 Want to see how it works in real-time? Book a demo with digna

Anomaly Detection: How to Spot and Address Data Issues Early Anomaly detection is an indispensable tool for modern businesses that rely on data. With the rapid evolution of data management tools, anomaly detection is no longer just about identifying outliers

Did you know poor data quality costs businesses an average of $15 million annually?

In 2025, the stakes are even higher as organizations rely more heavily on AI-driven insights and real-time analytics.

That’s where digna comes in:

✅ Autometrics for continuous profiling
✅ AI-powered anomaly detection
✅ Real-time notifications to keep your team ahead

Don’t let bad data slow you down—book a demo today!

to the Data Governance Conference Europe!

We’re still buzzing from the incredible presentation by Dipl.-Ing. Vojkan Radak from IT-Services der Sozialversicherung GmbH, who shared how his team transformed their data quality journey with AI-powered automation using digna.

💬 Vojkan's insights into moving beyond rigid, manually maintained rules showed just how impactful intelligent data quality solutions can be in the real world — especially in large-scale, complex environments like healthcare and public service.

⚡ Key takeaways from the session:

✅ Traditional rules can’t keep up with modern data demands

✅ AI helps identify issues before they escalate

✅ A new era of proactive, intelligent data governance is here

A massive thank you to Vojkan and the ITSV team for their trust and collaboration. We’re proud to be part of this success story!

📸 Missed the session? Let us know — we’d be happy to share more about the approach.

🇦🇹

How does your team currently handle data anomalies? 🤔

a) Manual troubleshooting

b) Automated tools

c) We don’t monitor anomalies proactively

Let us know in the comments!

If you’re ready to switch from reactive to proactive, let’s talk digna!

The traditional method of exporting data for quality checks is becoming a practice of the past.

At digna, we believe there’s a better way. We take a fundamentally different approach: “In-Database Data Analysis”. Our platform works within your data infrastructure, minimizing the need to export and move data around.

Discover how our in-database data quality solution can streamline your processes and deliver superior results with real-time anomaly detection and automated insights.

In-Database Data Quality Platform: The Future of Data Management Keep your data secure and analytics sharp, all without ever leaving your database with digna's streamlined, in-database data quality management