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Reading Time: 6 minutesIn the realm of retail banking, data-driven insights reveal what customers do, but they often fail to capture why they make certain decisions. This “why” encompasses the psychological drivers—like loss aversion, herd mentality, and emotional biases—that significantly shape financial behaviors….
Reading Time: 3 minutesData integration is an important part of Denodo’s broader logical data management capabilities, which include data governance, a universal semantic layer, and a full-featured, business-friendly data catalog that not only lists all available data but also enables immediate access directly…
Reading Time: 3 minutesAs organizations continue to pursue increasingly time-sensitive use-cases including customer 360° views, supply-chain logistics, and healthcare monitoring, they need their supporting data infrastructures to be increasingly flexible, adaptable, and scalable. Howard Dresner refers to such infrastructures as “active data architecture.” Dresner…
Reading Time: 3 minutesWhether you’re making strategic business decisions, optimizing operations, or just trying to stay ahead of the competition, you need your data to be at your fingertips—fast. That’s where the Denodo Platform steps in as your go-to solution for high-performance data…
Reading Time: 5 minutesFor years, organizations have been managing data by consolidating it into a single data repository, such as a cloud data warehouse or data lake, so it can be analyzed and delivered to business users. Unfortunately, organizations struggle to get this…
Reading Time: 6 minutesOne of the most common deployments of the Denodo Platform in organizations across the globe is serving as a semantic layer that simplifies data consumption to increase self-service for business users. Three core ideas, working together, enable that scenario: The…
Reading Time: 3 minutesDenodo was recognized as a Leader in the 2023 Gartner Magic Quadrant™ for Data Integration report, marking the fourth year in a row that Denodo has been recognized as such. I want to highlight the first of three strategic planning…
Reading Time: 3 minutesToday, data is the lifeblood that can dictate the difference between success or failure. However, becoming truly data-driven remains an elusive goal for many. This gap between aspiration and reality is not for lack of effort; it stems from the…
Reading Time: 3 minutesLeveraging enterprise data for generative AI and large language models presents significant challenges related to data silos, quality inconsistencies, privacy and security concerns, compliance with data regulations, capturing domain-specific knowledge, and mitigating inherent biases. Organizations must navigate the complexities of…
Reading Time: 4 minutesProviding timely, intuitive access to information has been top-of-mind for many companies, and their data professionals in particular. Over the past few decades, we have been storing up data and generating even more of it than we have known what…
