Casey Ciniello

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.
AI Token Costs In Embedded Analytics: Why They’re Becoming a CIO Problem

AI Token Costs In Embedded Analytics: Why They’re Becoming a CIO Problem

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.

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Reveal 1.8.1 Release: Conditional Formatting and Redis Cache Provider Now Available

Reveal 1.8.1 Release: Conditional Formatting and Redis Cache Provider Now Available

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.

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The Missing Piece in Enterprise BI: Intuitive, Embedded, and Self-Service Analytics

The Missing Piece in Enterprise BI: Intuitive, Embedded, and Self-Service Analytics

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.

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Reveal 1.6.0 Features Are Here!!

Reveal 1.6.0 Features Are Here!!

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.

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What's New in Reveal!

What's New in Reveal!

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.

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