WHITEPAPER
What Product Leaders
Wish They Knew Before
They Built

The decision to build embedded analytics in-house rarely feels like a mistake at the start. But the math changes quickly, especially in today’s agentic AI era. Before product leaders know it, their roadmap is stalled, their report backlog has multiplied, and what seemed like a smart choice has become their team’s heaviest burden.
Read this white paper to learn:
-
The real cost of building analytics in-house—and why it compounds every quarter you don't act
-
What you own when you build vs. what your vendor handles when you buy AI-powered embedded analytics
-
The five dimensions that determine what building vs. buying really means for your product, your team, and your timeline
If embedded analytics is on your roadmap this year, read this before you write a single line of code.
Ehsan Hoque
Director of Product Management
![]()
Brian Reynolds
Global Head of Embedded, Go To Market

