Implementation & SDK

How quickly can embedded analytics go live?

How quickly can embedded analytics go live?

How quickly can embedded analytics go live?

Time‑to‑live depends on the complexity of your data and the tooling you choose.

Building an analytics solution in‑house can take months; a PMI survey cited in a Luzmo blog found that nearly half of projects face delays and resource constraints.

Many vendors now offer SDKs or APIs that drastically reduce integration time: MageMetrics, for example, auto‑maps your database into a semantic layer and embeds widgets via a few lines of code, allowing customers to ship contextual insights in under 30 minutes.

Other platforms report typical go‑lives of two to four weeks once authentication, data modeling and UX decisions are finalized.

MageMetrics auto‑maps your database and ships contextual insights via its SDK in under 30 minutes, letting teams iterate quickly as adoption grows.

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

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.

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.