As data volumes continue to grow exponentially, organizations face increasing challenges to ensure their data is reliable and fit for purpose. When errors creep into data pipelines, they can disrupt decision-making, lead to compliance issues, and impede business decision-making. Additionally, more companies than ever are building AI models, the performance of which directly depends on the quality of the data used to train them.

In this webinar, an expert panel from Agile Solutions, Sii, and Tricentis will share how leading enterprises overcome these hurdles to maintain data quality across complex ecosystems. Hear their insights on the five most critical data challenges, including:

1. Incomplete or inconsistent data that disrupts decision-making
2. Data silos that prevent a holistic view of your business
3. Ensuring adherence to compliance and regulation to avoid costly penalties
4. Integrating diverse data sources while scaling efficiently
5. Maintaining end-to-end data integrity to empower faster, more reliable decisions

Learn how Tricentis solutions provide automated, end-to-end testing that ensures your data arrives intact and accurate across your entire ecosystem. Discover how you can mitigate risk, improve compliance, and drive better business outcomes with data you can trust.

Speakers:

• Andrew Spires, EMEA Lead, Data Integrity – Tricentis
• Curtis O’ Dell, Business Performance Director, Data Integrity – Tricentis
• Pawel Dziedziul, Tosca Service Manager – Sii Polska
• Owen Lewis, Chairman – Agile Technical Services