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REAL-WORLD AIMAI APPLICATION

Turn scattered growth data into a clear view of what to do next

AIMAI built Growth Radar, an Application that connects agreed commercial and marketing data, exposes gaps, structures meaningful KPIs and surfaces opportunity and risk signals for human review.

The impact

See where the data is weak

Missing, inconsistent or unreliable information is made visible instead of being hidden inside a dashboard.

Create a shared commercial picture

Growth data is brought into a common view so teams are not rebuilding the same context across separate systems and spreadsheets.

Move from reporting to action

Opportunity and risk signals are connected to prioritised actions rather than stopping at another set of charts.

Keep strategic decisions human

The Application organises evidence and signals, while the team retains judgement over priorities, investment and execution.

The problem

Marketing and commercial data often sits across CRM, analytics, advertising, SEO and spreadsheets. Teams can spend more time reconciling the numbers than deciding what action to take, while missing or inconsistent data makes dashboards harder to trust.

What the Application does

AIMAI built Growth Radar to create one governed view across agreed growth data. The Application assesses completeness and reliability, highlights missing or weak information, structures useful KPIs around the organisation’s objectives and surfaces opportunity and risk signals. Users move from data-health questions into practical analysis without rebuilding the commercial picture each time.

How it works

  1. Agreed commercial and marketing data connected or loaded
  2. Completeness and reliability assessed
  3. Missing or weak data highlighted
  4. KPIs aligned to business and growth objectives
  5. Opportunity and risk signals produced
  6. Marketing or leadership team reviews priorities and actions

What it uses

  • CRM and pipeline data
  • Web analytics and campaign performance
  • Business model and growth objectives
  • KPI definitions and benchmarks

What it produces

  • Data health and completeness view
  • Recommended KPIs and reporting structure
  • Opportunity and risk signals
  • Prioritised actions and analysis prompts

Where people stay in control

Recommendations are grounded in agreed business context. The Application surfaces patterns and priorities, while the marketing or leadership team decides what action to take and how commercial judgement should be applied.

The result

The marketing team works from a shared view of data health, KPIs, opportunities and risks rather than rebuilding the commercial picture from disconnected sources. The Application makes gaps and signals easier to act on, while strategic priorities remain a human decision.

Could something similar work in your business?

It is likely to be relevant if:

  • Your marketing and commercial data is spread across several systems or spreadsheets.
  • Teams spend significant time reconciling data before they can analyse it.
  • Dashboards are mistrusted because data quality or definitions are unclear.
  • You need a clearer set of KPIs linked to business objectives.
  • Leadership wants growth opportunities and risks translated into practical priorities.

Have a workflow like this?

Tell us where your growth data lives today and how your team turns it into decisions. If the workflow has similar fragmented sources, unclear KPIs and repeated analysis, we can show you how an Application could be configured around your commercial context.

Explore it with AIMAI