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Reading Time: 5 minutesFor years, enterprise data architecture has relied on collecting, transforming, and replicating data across multiple systems to serve different analytical and operational needs. This approach has delivered value, but it has also introduced unwanted side effects, over time: unnecessarily duplicated…
Reading Time: 4 minutesThe AI landscape is evolving fast. In just the past year, we’ve seen a shift from traditional AI models that respond to prompts, to AI agents that act autonomously, reason in real time, and make decisions across complex systems. But…
Reading Time: 3 minutesAI is transforming how businesses operate — but it is simultaneously exposing just how fragile many data foundations really are. As organizations rush to operationalize AI, they discover that the biggest obstacle is not model sophistication, but the data: where…
Reading Time: 3 minutesIn the first post in this two-post series, we talked about SAP, how many organizations spread their data across SAP, non-SAP, cloud, and on-premises systems, hindering performance and usability, and how SUSE and Denodo create a powerful foundation for SAP,…
Reading Time: 2 minutesFrom the corridors of national intelligence to frontline emergency responders, public agencies are under constant pressure: adapt to evolving threats, comply with ever-changing laws, and safeguard mission-critical systems—all while modernizing IT infrastructure and improving citizen services. But here’s the paradox:…
Reading Time: 4 minutesImagine you’re a financial analyst at a pension fund, racing against the clock to deliver a major corporate client’s portfolio breakdown before fiscal year end. You’re juggling CRM data, financial market reports, and a tangle of Excel exports. Or picture…
Reading Time: 2 minutesSAP is the trusted provider of ERP, finance, and supply chain applications that run much of the world’s critical operations. However, many organizations have data that is spread across SAP, non-SAP, cloud, and on-premises systems, which hinders performance and usability….
Reading Time: 4 minutesEfficient financial operations (FinOps) has become a strategic imperative for organizations seeking to thrive in complexity. As businesses strive to integrate data across disparate sources in real time, the need for comprehensive solutions to streamline data management becomes increasingly vital….
Reading Time: 3 minutesGartner® has had a long history of analyzing the potential of a logical approach to data management. In 2020, in “The Practical Logical Data Warehouse,” Gartner begins by saying, “The logical data warehouse — a data consolidation and virtualization architecture…
Reading Time: 3 minutesData is often hailed as the most valuable asset—but for many organizations, it’s still locked behind technical barriers and organizational bottlenecks. Modern data architectures like data lakehouses and cloud-native ecosystems were supposed to solve this, promising centralized access and scalability….
