How Data Quality Testing Minimizes Risks for Banks

Risk is everywhere in investment banking—bad data can lead to compliance failures, financial penalties, and loss of client trust. This case study shows how one bank used iceDQ’s data quality assurance platform to tackle these risks head-on.

By automating business rule validations, the bank eliminated data discrepancies before they caused issues. It not only improved compliance but also gave leadership the confidence to make faster, more accurate decisions. A great reminder of why data quality = risk management.


- https://icedq.com/resources/ca....se-studies/data-qual

SEND Data Validation with icedq

A global pharmaceutical company worth $130 billion was struggling to validate complex clinical pathology data for SEND submissions to the FDA. With data scattered across Oracle® systems and multiple EHR platforms, manual validation posed significant risks to compliance and timelines. Discover how icedq's automation platform transformed their validation process—reducing errors, accelerating submission readiness, and ensuring FDA compliance. Read the full case study to see how icedq helped turn a major data challenge into a seamless solution.

- https://icedq.com/send-data-validation

In today’s data-driven world, accuracy isn’t optional — it’s essential. That’s why mastering data quality tools like iceDQ can be a game-changer for your career. The iceDQ v2.0 User Training is a self-paced online course designed to help you gain complete control over data validation, profiling, monitoring, and more.

Here’s why this course is worth your time:

✅ Covers the full lifecycle of data quality management, from basic rules to advanced automation.
✅ 30+ engaging video lessons designed for hands-on learners.
✅ 7 structured modules that break down every major feature of the iceDQ platform.
✅ Role-based examples perfect for business analysts, QA professionals, and data managers.
✅ Certification on completion to prove your expertise.

Unlike traditional data quality courses that are often too technical or abstract, this training focuses on real-world application. You’ll learn how to build rules for data validation, monitor ongoing data health, and generate reports that decision-makers can trust.

Whether you're in a startup or an enterprise setting, this course empowers you to drive better decisions through reliable data. You’ll also gain a strategic edge by mastering one of the most intuitive platforms in the industry.

Elevate your data skills with zero guesswork. Start learning with the iceDQ v2.0 User Training today and turn data quality into your professional superpower - https://university.icedq.com/c....ourse/icedq-user-tra

Bad data leads to bad decisions. With the Introduction to iceDQ v1.0, you'll master how to keep your reports, dashboards, and pipelines accurate using rule-based validation and observability techniques trusted by data professionals.

Here’s what the course offers:

🛠️ 5 chapters covering data rules, executions, and test cycles
🎥 20+ step-by-step training videos
🔍 Create reusable test cases for any data source
📊 Learn how to audit BI, ETL, and DB platforms

Why professionals love this course:
🧰 Real-time use cases from real-world data environments
📈 Helps build a resume that stands out to employers
🎓 Official certificate proving your expertise
📋 Lifetime access to course materials and updates

Perfect for:
• Data analysts and QA testers
• ETL and BI developers
• Data engineering students
• Anyone aiming to work in data governance or auditing

What you’ll take away:
• Confidence in validating complex datasets
• Tools to streamline and scale testing
• A solid understanding of the iceDQ platform

📘 Ready to become a data quality champion? Enroll in the Introduction to iceDQ v1.0 Course and gain real-world validation skills - https://university.icedq.com/c....ourse/icedq-user-tra

Eliminate Data Downtime Before It Happens
If your organization depends on data pipelines, even minor disruptions can cause major business impact. The iceDQ Data Reliability Engineering Course focuses on identifying data problems before they escalate. Through engaging modules, you'll learn how to apply best practices in monitoring, testing, and automated alerting to reduce errors and improve data pipeline stability.

This course is a great fit for data engineers, QA testers, DevOps professionals, and analysts looking to sharpen their skills and prevent unexpected data failures. Backed by real-life examples and practical frameworks, it empowers learners with both proactive and reactive techniques.

Make your data systems stronger than ever.
📘 Enroll now - https://university.icedq.com/c....ourse/data-reliabili