Author

Casey Ciniello

Casey has a BA in mathematics and an MBA, bringing a data analytics and business perspective to Infragistics. Casey is the Product Manager for the Reveal Embedded analytics product and was instrumental in product development, market analysis and the product's go-to-market strategy. She’s been at Infragistics since 2013 and when she’s not in the office, she enjoys playing soccer and attending concerts.

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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