Embedded analytics fundamentals

What are common barriers to adopting embedded analytics?

What are common barriers to adopting embedded analytics?

What are common barriers to adopting embedded analytics?

Barriers to adoption include resource constraints, legacy infrastructure and shifting analytics requirements.

A Product‑Led Alliance survey found that 47 % of product teams cite budget constraints and 39 % cite slow time‑to‑market as key hurdles to embedding analytics.

Reveal’s data shows that 42 % of users face tech resource shortages, 35 % struggle with changing analytics needs and 32 % deal with legacy systems; cost justification and user adoption were also significant challenges.

On the organizational side, lack of training and data quality issues remain barriers—BARC’s BI study reported that 50 % of organizations point to inadequate training and 41 % to poor data quality.

Addressing these obstacles requires choosing a solution that speeds time‑to‑value, integrating with existing stacks and providing robust security and governance.

MageMetrics’ agent‑ready architecture and auto‑mapping reduce integration effort while its contextual delivery drives user adoption.

Hey 👋 I’m Jonas, co-founder at MageMetrics

Let me know if you have any questions.

Contact me

Hey 👋 I’m Jonas, co-founder at MageMetrics

Let me know if you have any questions.

Contact me

Hey 👋 I’m Jonas, co-founder at MageMetrics

Let me know if you have any questions.

Contact me

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BUILD BETTER PRODUCTS

Customer-facing analytics for teams that ship

Easy to deploy

Easy to customize

Easy to love

© 2025 MageMetrics SA. All rights reserved.

BUILD BETTER PRODUCTS

Customer-facing analytics for teams that ship

Easy to deploy

Easy to customize

Easy to love

© 2025 MageMetrics SA. All rights reserved.