This article discusses common pitfalls in data modernization, emphasizing that focusing solely on technology leads to stagnation. It highlights the importance of treating data as a product and integrating modern engineering practices to achieve tangible returns from cloud investments. The white paper offers insights from successful companies like Gilead and Roche.

The article explores the disconnect between what people say they want from data and their actual behavior when accessing it. Despite the rise of analytics agents that simplify data retrieval, many users still ask basic questions rather than leveraging data for deeper insights. This raises questions about the gap between perceived data needs and actual usage patterns.

Blockworks has shut down its news division to concentrate on its growing data and analytics operations. Co-founder Jason Yanowitz announced this shift, highlighting the company's success in combining data and distribution. The decision received mixed reactions from the crypto community.

OpenAI developed a unique internal AI data agent to streamline data analysis across teams. This tool allows employees to quickly obtain insights from complex data, improving efficiency and accuracy in decision-making.

This article argues that dashboards are outdated as they primarily report data rather than provide deep insights. It highlights the shift towards agentic analytics, which focuses on delivering context-aware answers and supports more meaningful data exploration. The author emphasizes the need to move beyond dashboards as the main goal for data teams.

This podcast episode features Russell Spitzer discussing Apache Iceberg and Polaris, focusing on the evolution of open table formats and the role of the catalog layer. They explore the challenges of data migration, Apache governance, and the future direction of these technologies.

This article summarizes key announcements from Microsoft Ignite 2025, focusing on advancements in data management and AI. It discusses the launch of Azure DocumentDB, features of Microsoft Fabric, and the introduction of the Fabric IQ layer for enhancing data usability and intelligence.

Dune has launched Sim, a new product aimed at enhancing the accessibility and speed of onchain data for developers and enterprises. The platform addresses the growing demand for real-time data processing in the rapidly evolving crypto landscape, allowing users to build and innovate without sacrificing speed or depth.

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The article discusses preparations for the upcoming dbt engine, highlighting new features and enhancements that users can expect. It emphasizes the importance of understanding these changes to optimize usage and leverage the new capabilities effectively. Additionally, it offers tips on transitioning smoothly to the updated engine.

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The article discusses the importance of data-driven decision-making in various industries, emphasizing how leveraging data analytics can lead to more informed and effective strategies. It highlights the challenges organizations face in implementing such practices and the potential benefits of embracing a data-centric approach.

Fabi.ai offers an innovative AI-powered analytics platform designed for lean teams, enabling rapid ad hoc analysis, dashboard creation, and workflow automation. With features like the AI Analyst Agent and real-time collaboration, it enhances data-driven decision-making and allows users to generate insights without extensive coding. The platform integrates seamlessly with various data sources and ensures compliance with security standards.

The article explores the evolution and potential future of modern data stacks, emphasizing their final act in the context of data management and analytics. It discusses various trends, challenges, and innovations that are shaping how organizations leverage data to drive decision-making. The piece also considers the implications of these changes for data professionals and the industry as a whole.

Good data alone does not guarantee effective decision-making; it requires thoughtful design and context. Analysts must focus on interpreting data in a way that drives action, ensuring dashboards and forecasts are tailored to support business decisions rather than merely presenting metrics. By providing context and encouraging proactive engagement, analysts can significantly enhance decision quality.

The article presents insights from the "State of Analytics Engineering 2025" report, highlighting the evolving landscape of analytics engineering and its importance in data-driven decision-making. It discusses trends, challenges, and the growing demand for skilled analytics professionals in organizations aiming to leverage data effectively.

The article discusses GizmoEdge's innovative approach to tackling the challenge of analyzing one trillion rows of data efficiently. It highlights the advancements in enterprise analytics software solutions that enable companies to derive actionable insights from massive datasets. The focus is on harnessing technology to manage and process large volumes of information effectively.