Embedded analytics insights, how-tos and product news from Casey Ciniello.
Casey Ciniello is a data and analytics-focused product leader at Infragistics, where she drives strategy and innovation for the Reveal embedded analytics platform and the Slingshot work management solution. With a BA in mathematics and an MBA, she brings an in-depth analytical foundation and business perspective to building products that help organizations turn complex data into actionable insights.
Casey leads the development of analytics-driven capabilities, shaping product direction through deep market analysis, user behavior insights, and evolving business intelligence trends. She works closely with customers to understand how data is used in real-world decision-making and translates those needs into intuitive, high-impact analytics experiences. Casey also serves as the Survey Lead for the annual Reveal Software Development Challenges survey, where she analyzes industry data to uncover key trends in analytics, AI, and modern development practices. Her insights and thought leadership have been featured in Dataversity, RT Insights, SaaSXtra, SD Times, Solutions Review, TechStrong IT, App Developer Magazine, Beta News, Integration Developer News, and UX Planet. She is a frequent webinar presenter on modern embedded analytics, machine learning, data visualizations, and scaling SaaS analytics. Casey joined Infragistics in 2013.
Reveal 2.0 is a full modernization of the Reveal Web SDK: no jQuery dependency, TypeScript-first, ESM and IIFE builds, npm or CDN install, new CosmosDB and ClickHouse connectors, stronger accessibility, and Node/Java SDK parity in Preview.
AI token cost is now a line item in the CIO’s budget, especially for SaaS teams shipping AI-powered embedded analytics. Every natural language query, generated dashboard, and automated insight inside your embedded analytics layer burns tokens from large language models. Across a multi-tenant SaaS platform with thousands of users, that adds up fast. Controlling AI token consumption requires real governance: guardrails, model flexibility, and usage monitoring. Reveal built these controls into its AI-powered embedded analytics from day one, so your team can scale AI analytics without watching costs spiral.
Reveal 1.8.1 introduces two major upgrades: Conditional Formatting and the Redis Cache Provider. These updates make embedded analytics faster, clearer, and easier to scale. Conditional Formatting lets users apply rule-based color logic directly to charts, turning data into instant visual insight. The Redis Cache Provider delivers enterprise-level performance with distributed in-memory caching for real-time workloads. Together, these enhancements help developers and SaaS leaders build smarter, high-performing dashboards while keeping Reveal the standard for customizable and scalable embedded BI that delivers insight without complexity.
Most enterprise BI platforms were built for internal reporting, not for modern SaaS products utilizing customer-facing analytics. They sit outside your application, fragment your UX, and delay decision-making. Modern enterprise software requires analytics that are intuitive, embedded, and self-service by design. Reveal was built to deliver exactly that—with no iFrames, no handoffs, and no compromises.
Starting today, Reveal users can connect directly to their Databricks environment and build real-time dashboards using our fully embedded analytics experience.
Reveal Version 1.7.2 is Live! Gain full control with powerful customization tools and seamless data interaction to build tailored, intuitive analytics experiences.
Find out how to integrate embedded analytics into Angular applications with a .NET Core backend, for better decision-making capabilities that drive engagement and ROI.
In this guide, we’ll cover the key 2025 requirements for selecting an embedded analytics platform, how it benefits product analytics, and the current available implementation methods.
Learn how to harness data-driven insights to enhance user engagement, all while exploring the synergy between product analytics and embedded analytics for 2025.
Reveal is excited to launch new features and updates designed to enhance your development experience and deliver more flexibility and control for embedding analytics.
We’re excited to announce the latest Reveal release, packed with powerful new features designed to enhance your analytics capabilities while keeping you informed of critical breaking changes that may impact your applications.
Discover 5 effective strategies to overcome integration challenges in embedded analytics and enhance your analytics integration for seamless performance. Find out more.
Explore the implications of limited customization in embedded analytics and why it’s a critical issue for CTOs, product managers, and development teams. Read more!
This release introduces a series of new powerful analytics features designed to offer superior customization, deeper integration, and more robust analytics capabilities.
We are excited to announce the release of Reveal 1.6.6 which brings several new features and improvements that will enhance your embedded analytics experience. Find out more!
Introducing custom visualizations, interactive chart filtering and a host of other enhancements and bug fixes that help us provide you with the best embedded analytics solution you deserve.
What is Enterprise Resource Planning (ERP) and how does it work? Check the answers and why the ERP user experience is dramatically improved with embedded BI software.
What is mobile business intelligence (BI) and why is it important? Learn why native SDKs let you share the most beautiful BI dashboards on your mobile devices.
Find out what is data-driven decision making and why is important. Learn about the 7 building blocks for becoming a data-driven company + examples and video
New features include additional flexibility in how to use Tooltips in visualizations, and theme updates to better match your application's look and feel.
See how to apply custom theming to Reveal embedded BI software and create your own dashboard and visualization style to match your app's look and feel.
In a recent podcast interview with SD Times, our Senior VP of Developer Tools, Jason Beres, talks about some of the key steps companies should consider as
Enhance your embedded visualizations with the new combo charts with single or dual axis, work with a new modern UI, and export charts directly to Powerpoint or Excel.
Learn how to secure your data with the Reveal embedded BI platform that includes multiple authentication methods, local caching of data, and much more.
Learn how easy it is to create data-driven teams within Reveal's business intelligence platform. The simplicity brings beautiful visualizations to analytics.
Create beautiful data visualizations for your business dashboard with the Reveal visualization editor & our drag-and-drop interface with 30+ templates.
Learn nine ways to improve your business data visualizations with Reveal's BI software. These quick tips help with overall readability & meaning of your charts.
Embedded analytics are powerful for adding value and stickiness to your desktop and mobile apps, and buying analytics from a third-party vendor can be the most efficient way to take advantage of the data your apps generate.
The apps you create, whether for mobile or desktop, generate huge amounts of data, both from user input and information collected passively. If your app
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