Measure, decide, accelerate — data at the service of performance
Kano develops reliable data models to sustainably manage your growth.

Challenges & Key Questions
Opt for a powerful strategy with concrete results

Are our KPIs really reliable?

How can we speed up our decisions?

Why are our sales slowing down?

How to effectively anticipate churn?
Accompanied

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Our scope of action
Building Business KPIs
Together with you, we define relevant indicators adapted to your specific needs:
- Sales KPIs: ARR, Win Rate, Average Length of Sales Cycles
- Customer Success KPIs: NRR, adoption rate, customer satisfaction (CSAT)



Structuring data models
We design a robust and scalable data architecture to make your analyses reliable over time:
- Source mapping and modeling: CRM, support, support, billing, product analytics, etc.
- Definition of a unified data schema, designed to meet current and future business needs.
- Implementation or evolution of your data warehouse (Snowflake, BigQuery, Redshift...), according to your maturity and your volumes.
- Data quality management: cleaning, standardization, deduplication, validation rules.
Setting up Analytical Dashboards
We build readable and immediately usable dashboards:
- Business forecasts (Forecast)
- Pipeline health monitoring
- Strategic customer indicators (NRR, churn risks)



Analysis & Predictions of business and customer cycles
We combine activity data analysis with predictive mechanisms to allow you to detect, understand, and deal with weak signals that hinder your performance:
- Unusually long conversion times, stages where opportunities stagnate, key moments of loss of commitment.
- Accounts at risk before they happen: drop in activity, unresolved tickets, weak signals of dissatisfaction or inactivity.
- Automated alerts in your daily tools (CRM, Slack, email...) to report any behavior or indicator that requires quick action.
- Concrete actions at each alert: priority contact, targeted follow-up, reactivation of an inactive account, etc.
FAQS
How long for a first deliverable?
10 working days are enough to deliver an MVP dashboard and the first operational insights.
Do we already need a data warehouse?
Not necessarily: we start with your existing sources (CRM, billing, support...) and only evolve the architecture when it is relevant to support a scale-up.
How do you ensure the reliability of the data?
Thanks to rigorous cleaning (deduplication, standardization) and automated quality rules applied before any visualization.
What budget should you plan for?
We offer a “Kick-start Data” pack starting at €12k; complete projects generally vary between €35k and €90k, depending on scope and complexity.
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