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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Deciding to buy? What to ask when picking the right Embedded Analytics vendor

Deciding to buy? What to ask when picking the right Embedded Analytics vendor

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. Today there is a huge market of vendors offering application development tools and services, with many firms providing specialist analytics and visualization […]

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Build vs Buy Embedded Analytics: Comparing the Pros & Cons

Build vs Buy Embedded Analytics: Comparing the Pros & Cons

The embedded analytics build vs buy decision defines more than cost. It shapes product strategy, roadmap velocity, and customer adoption. Building promises control but comes with hidden costs, resource strain, and long-term technical debt. Buying accelerates time to market, delivers branded experiences, and ensures scalability without unpredictable pricing. For SaaS leaders, the real value lies in focusing internal teams on innovation while relying on proven platforms for analytics. Making the right decision safeguards ROI, strengthens retention, and positions your product to compete in markets where analytics is now a core expectation.

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