Managing data in today’s dynamic ecosystems is challenging. Complex architectures, frequent interruptions, and inconsistent data quality can lead to missed opportunities and inefficiencies.
Is ensuring Data Quality a challenge for you?
Do unexpected Data Anomalies disrupt your critical operations?
Do you struggle to Discover, Govern, and Manage your data efficiently?
According to Gartner, businesses lose an average of $12.9 million annually due to poor data quality—a risk no enterprise can afford to take.
Introducing PRYZM – Single Pane of Glass for Data Reliability & Observability
Pryzm is conceptualized from our 10+ years’ experience of designing & implementing data platforms, with a strong focus on reliability, governance, and observability.