Data Management Insight

Converged Data Management Platforms promise to reduce technology integration debt and accelerate the delivery of AI-ready data. Yet the real competitive advantage lies in the balance between unified platforms and openness to specialized ISVs. Our takeaways from the Gartner™ report “Future of Data Management Markets: Converged Data Management Platforms Drive Tool Consolidation” For years, organizations […]

Most organizations don’t suffer from a lack of data. They suffer from friction: long lead times to access the right dataset, uncertainty about definitions and ownership, repeated validation efforts, and a growing reliance on manual, one-off data deliveries. When data stays trapped in silos, it remains a cost center. When it becomes shareable, trusted, and

If your company has ever wondered, “Why don’t the numbers in the CRM match those in the ERP?” or “Why don’t the e-commerce sales align with the payment gateway data?”, you’re not alone. It often happens, for example, that treasury balances show discrepancies compared to bank statements — or that inventory levels differ between the

In 2025, Irion was mentioned in several Gartner research reports touching on themes like Augmented Data Quality, Data Integration, Data Governance, and the latest trends in Enterprise Data Management. These reports are aimed at key figures such as CDOs, CIOs, CFOs, and more generally at corporate Data & Analytics teams. In this article, we have

A modern company’s data is a fragmented universe: it resides on cloud or on-premise management applications, data lakes, dozens of legacy systems and spreadsheets that are often beyond IT’s control. Against this backdrop, how can you gain reliable insight and accelerate migrations and digital transformation projects? And how to train effective Generative Artificial Intelligence models?

Is your latest Generative AI initiative not delivering the expected results? Do your business reports require days of manual reconciliation? The problem probably isn’t algorithms or people, but the foundation: the quality of your data. We don’t build houses on cracked foundations, so why should we build our business on unreliable data? According to Gartner,

In the fascinating world of Data Management, curious stories often circulate that highlight the importance of data quality. Sometimes they even make us smile—until it happens to us or one of our clients, perhaps in the dreaded production environment! As we enjoy the summer, why not have some fun with quirky anecdotes that remind us