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Data Analytics Foundation for Growth Teams

Build the data foundation your whole company runs on.

From scattered tools to AI-ready dashboards — a 6-month engagement that delivers a validated data foundation, KPI-scoped dashboards across two teams, and a cleaned data model ready for AI.

Timeline
6 months
Teams
Up to 2
Starting price
€6,500 · 6 months
TRUSTED BY 50+ FOUNDERS AND GROWTH TEAMS AT
Don't Just Take Our Word For It:
"Gregor's one of the best data consultants, especially with Amplitude. He's helped our team a lot, getting our app on track with the right data. He's great at getting Amplitude set up, and he's always in sync with our dev and product teams to make sure everything's tracked right. We've decided to contract Adasight for more advanced stuff. We have weekly advisory, and they are always there to make sure we really get how Amplitude works."
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Saira Ashraf
Head of Growth at Tradezella
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Who This Is For

You're in the right place if any of these sound familiar.

Data scattered across disconnected tools

Your data lives across multiple tools with no unified view — pulling a single metric means stitching together exports.

Teams disagree on the numbers

Different teams report different numbers for the same question, and nobody agrees on what's actually true.

No dedicated data team in place

You don't have an in-house data team and need someone to build the foundation right from the start.

Ready to act on AI — once the data's clean

You're thinking about AI use cases and need a clean, structured data model before you can act on them.

Why it matters

Generic dashboards don't move companies.
A data foundation built around the KPIs your teams actually care about does — and it's the prerequisite for anything you want to do with AI.

Scoped to real business questions

Every dashboard and analysis is tied to a KPI your teams defined collaboratively at the start. No generic dashboards nobody asked for — every output answers a real question your business needs resolved.

Your team owns the foundation

Your team implements every integration — we design, guide, and validate. At the end you own the architecture, the pipelines, the dashboards, and a cleaned data model your people can run and evolve themselves.

Scope of Work

Three build areas covered over 24 weeks — from collaborative KPI definition through dashboards, analyses, and an AI-ready cleaned data model.

Build area 01

KPI Definition & Architecture

  • Collaborative KPI definition with up to 2 teams (up to 20 KPIs — 10 per team)
  • Full data landscape audit across five dimensions — quality, consistency, ownership, usage, AI readiness
  • Data source mapping and architecture blueprint — what to connect, how, and in what order
Build area 02

Implementation & Integration Testing

  • Your team implements the architecture; we guide, validate, and troubleshoot throughout
  • Every integration tested as it goes live, catching errors before they compound
  • Issue log maintained and resolved before dashboard build begins
Build area 03

Dashboards, Analyses & Data Cleaning

  • 2 KPI-scoped dashboards — one per team, built to answer their defined KPIs
  • 3 deep-dive analyses tied to the questions defined at the start
  • Full data cleaning pass — naming corrected, duplicates removed, nulls handled, model documented

Every engagement delivers

  • Architecture blueprint and KPI framework — up to 20 KPIs across 2 teams
  • Validated integrations and pipelines · 2 dashboards (one per team)
  • 3 analyses with findings and recommendations
  • Cleaned, documented data model — ready to plug into AI tools
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Roadmap

Six months, three phases — predictable rhythm, no black box.

Weeks 1-2

KPI definition & architecture

  • Collaborative KPI definition sessions with both teams
  • Full data landscape audit and source mapping
  • Architecture blueprint with a prioritised implementation plan
Weeks 3-9

Implementation + visualisation planning

  • Your team implements the architecture — we guide and validate each integration
  • Issue log maintained, errors caught before they compound
  • Week 9 visualisation planning: which dashboard answers which team's KPIs
Weeks 9-24

Dashboards, analyses & handover

  • Dashboards 1 & 2 built for each team's KPIs (Weeks 9–16)
  • Analyses 1–3 run in parallel with fix cycles for any surfaced gaps
  • Full data cleaning pass + final delivery session with both teams (Week 24)

Frequently Asked Questions

Everything you need to know about our tech-enabled services.

Why up to 2 teams and 20 KPIs?

Serving multiple teams from the same foundation is one of the core value propositions of this tier. Capping at 2 teams and 20 KPIs keeps the engagement focused — every deliverable answers a real question defined at the start.

Who builds the infrastructure?

Your team implements everything — all infrastructure is owned by you. We design, guide, and validate.

What if data for some KPIs doesn't exist yet?

We identify this in Weeks 1–2 during the mapping phase and either find an alternative source or adjust the KPI. We don't wait until dashboard build to surface data gaps.

What does "AI-ready data" mean?

At the end of this engagement, your cleaned data model can be fed directly into AI tools — LLMs, analytics platforms, or automation workflows — without additional preprocessing.

Book a Discovery Call

Ready to take your product and marketing performance to the next level? Let’s start a conversation about transforming your data into actionable strategies.