Author

Casey Ciniello

Reveal and Slingshot Senior Product Manager @ Infragtistics

Published posts 47

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.

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Dashboard adoption feature image

Your Dashboards Aren’t Broken. Your Users Just Don’t Use Them

Product teams often assume dashboards fail because of tooling or design, but the real issue is usage. Dashboards sit outside the user workflow, so adoption drops quickly after initial curiosity. Most are built for reporting, not decision-making in context. To increase adoption, analytics must be embedded into the product experience, with insights appearing at the moment decisions are made. As AI becomes part of analytics, this gap becomes more visible, not less.

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Introducing Reveal AI: The AI-Native Embedded Analytics Layer for Enterprise and SaaS Applications

Introducing Reveal AI: The AI-Native Embedded Analytics Layer for Enterprise and SaaS Applications

Users expect analytics to behave like the rest of modern software: interactive, immediate, and conversational. Reveal AI addresses this shift by adding conversational analytics and AI-generated insights directly inside enterprise and SaaS applications. Built on Reveal’s SDK-first embedded analytics architecture, it allows users to ask questions in natural language, receive contextual explanations, and detect anomalies. At the same time, organizations keep full control over governance, deployment, and AI cost management.

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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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Reveal 1.7.4 Now Connects to Databricks—Here’s Why It Matters

Reveal 1.7.4 Now Connects to Databricks—Here’s Why It Matters

Starting today, Reveal users can connect directly to their Databricks environment and build real-time dashboards using our fully embedded analytics experience. Native Databricks Integration Databricks users can now embed real-time insights directly into their applications without extra steps or added complexity. As a cloud-based data platform built on Apache Spark and ML tools, Databricks powers […]

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integrating powerful bi capabilities in angular apps

Embedding BI in Your Angular Apps

By integrating powerful BI into your Angular apps, you can streamline workflows, manage resources and optimize performance. Data helps businesses reveal where and how they can improve, and optimize their overall processes and performance for maximum profitability

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