Embedded Analytics

19 posts · Apr 2025 – Jun 2026

What this trail covers

Hex has evolved its data analytics capabilities by introducing and detailing embedded analytics. This feature allows users to embed Hex applications directly into their own client portals or applications, providing seamless and secure access to data insights within a trusted environment. Key advancements include pass-through authentication for a unified login experience, row-level security to ensure data privacy, and reduced operational burden for internal teams by enabling the reuse of dynamic

All Hex trails

Jun 2026Are Semantic Layers the Cornerstone for AI Analytics?This post discusses the role of semantic layers in AI analytics and argues for a broader approach to context. It critiques the limitations of semantic layers as the sole solution for AI governance and accuracy, proposing that a combination of semantic models, raw data transformation, and other contextual information (like code repositories, warehouse metadata, strategy documents, and customer interactions) is necessary for robust AI analytics. It highlights how Hex's agent leverages both semantic models and other contextual sources to provide more accurate and adaptable answers, and introduces Context Studio as a mechanism for capturing and governing this broader context.
Jan 2026What are data apps? Types, uses, and how they workThis post defines data apps as interactive applications combining live data with business logic for exploration and analysis, contrasting them with traditional dashboards. It details their working principles: direct connection to cloud data platforms, query caching for performance, inheritance of warehouse security and governance, and a split computation model between warehouse and application layers. It categorizes data apps into self-service analytics, collaborative exploration tools, and predictive applications, and provides use cases across Finance, Sales, Operations, Marketing, and Healthcare. The post concludes by positioning Hex as a unified analytics platform for building such applications.
Dec 2025What is embedded analytics? Types, architecture & usesThis post details the concept, types, architecture, and use cases of embedded analytics. It explains how authentication, semantic layers, query optimization, and multi-tenant security enable the integration of data analysis directly into applications. It highlights operational decision-making, product intelligence, customer enablement, and compliance/audit workflows as key use cases. The post also discusses the future of embedded analytics with an AI-native approach, emphasizing Hex's architecture.
Oct 2025Fall 2025 Launch: Agents, for analytics, for teamsIntroduces 'Threads', a new conversational interface for analytics built on the Notebook Agent framework. Threads leverages workspace context (data connections, semantic models, endorsed tables) and existing Hex cells as tools. It allows business users to ask questions in natural language and receive answers, with the ability to convert threads into notebooks for deeper analysis or auditing by the data team. The data team can govern data access and AI response quality. Threads is optimized for mobile and integrates with Anthropic's Sonnet 4.5 model.
Jul 2025Build a data app that answers questions about your customers.This post details the principles and implementation steps for building data apps that address repetitive customer questions. It outlines starting with comprehensive data integration, designing interactive applications with common customer success questions in mind (e.g., usage drops, support ticket spikes), enabling guided exploration with input parameters (customer selection, time periods, feature filtering, comparison groups, thresholds), automatically building in business context (historical patterns, cohort comparisons, correlation callouts), and making insights persistent and shareable through features like subscriptions, comments, @mentions, version history, and saved filter combinations. It also provides implementation principles such as choosing the right first use case, designing for exploration, involving customer success, and measuring key metrics.
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Jun 2025How Candidly uses Hex Embedded Analytics to tackle the student loan debt crisisThis post details how Candidly uses Hex's Embedded Analytics feature to provide client-facing insights. It highlights the benefits of seamless and secure embedding within a trusted client portal, the use of pass-through authentication via signed embedding and the Embed API to eliminate separate logins, and the implementation of row-level security to ensure data privacy. The post also discusses the 'build vs. buy' decision, the evaluation playbook for embedded analytics, and the 'what's in it for me' for various internal teams.
May 2025Build fast, customizable dashboards into your product. Learn how Hex helps teams embed analytics with less friction and better user experiences.This post details Hex's approach to embedded analytics, focusing on how to build and integrate Hex applications into external products. It highlights features like signed embedding for secure, single-use URLs, row-level security for data privacy, and custom theming for brand consistency. The post also discusses leveraging AI for faster app development, promoting adoption through integration into existing workflows (wikis, CRMs, Slack), and the importance of version control and usage monitoring for iteration and optimization. It provides guidance on designing for performance by favoring SQL/no-code over Python, keeping cell counts low, scheduling runs, using query caching, and selecting appropriate compute profiles. The post also outlines key evaluation criteria for embedded analytics tools, emphasizing fast development, seamless and secure embedding, customization, and scalable pricing.
Apr 2025Introducing Hex Embedded AnalyticsThis post introduces Hex Embedded Analytics, a product feature allowing Hex data apps to be embedded into external customer-facing products. It details the technical aspects of secure embedding via signed URLs, pass-through authentication, and row-level security, all managed through an Embed API. Customization options for branding and scaling capabilities are also discussed, emphasizing the ability to deliver tailored data experiences from a single Hex project.