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Reading Time: 5 minutesThe data landscape has evolved and become more complex as organizations recognize the need to leverage data and analytics. Generative artificial intelligence has further put pressure on organizations to manage this complexity. At TDWI, we see companies collecting traditional structured…
Reading Time: 2 minutesAs a data analyst for the Nationale-Nederlanden Investment Partners (NNIP), the sole asset manager for the Nationale-Nederlanden (NN) group, one of the largest insurance companies in the Netherlands, I need to ensure that our operational teams have the data they…
Reading Time: 2 minutesThe current data landscape is fragmented, not just in location but also in terms of shape and processing paradigms: data lakes, IoT architectures, noSQL and graph data stores, SaaS vendors, etc. are found coexisting with relational databases to fuel the…
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: 2 minutesAn edited version of this blog is also posted on InsightJam. The recent announcement that Salesforce is acquiring Informatica has sent waves throughout the data management community. This follows ServiceNow’s acquisition of data.world, a cloud-native data catalog platform, raising questions in…
Reading Time: 3 minutesIn many digitally advanced governments, smart nation ambitions are reshaping how citizen services and digital infrastructure are delivered. From the convenience of identity platforms to AI-powered chatbots and automation tools, innovation is evident everywhere. But the real challenge often lies…
Reading Time: 2 minutesEnergy and utility leaders face a paradox: the more we digitize, decentralize, and decarbonize, the more complex and fragmented our data becomes. At the same time, the demand for real-time insights, smarter grid operations, predictive maintenance, and customer-centric innovation has…
Reading Time: 3 minutesA few months ago, I spoke with the head of data architecture at a leading European bank. They’d just completed a multi-year investment in a modern data lakehouse platform — a combination of Databricks on Azure, paired with legacy systems…
Reading Time: 6 minutesIn today’s rapidly evolving financial landscape, banks and financial institutions are undergoing massive digital transformations. They’re striving to maintain competitive advantages against both traditional rivals and new digital-first challengers. However, many organizations face a significant hurdle: the presence of legacy…
Reading Time: 2 minutesLet’s face it — data isn’t just growing. It’s exploding. Not only are the number of sources increasing, but each source now generates exponentially more data, in more formats, and from more locations — on-prem, SaaS, hybrid cloud, edge devices,…
