let's work together
514-589-4563
4388, rue Saint-Denis, Suite 300,
Montréal, QC, H2J 2L1

Don't fish for the right data in the wrong lake.

With scattered marketing data and limited performance metrics, activating your audiences becomes slow or almost impossible. Because your platform is hard to maintain, you don’t have a solid foundation for activating AI. That’s when you should connect the right sources and monetize your marketing data warehouse in the service of measurement and automation.

Trusted by leading brands

56% of executives state they’re overwhelmed by fragmented and scattered data sources.

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A high-performance data warehouse.

We build to adapt to your evolving needs.
BigQuery Snowflake Data Cloud Databricks Amazon Redshift Azure Synapse

BigQuery

Leverage a well-designed data architecture to handle large volumes of data with BigQuery. We deploy quickly while keeping complexity low, so your platform becomes a true decision engine for your marketing.

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Snowflake Data Cloud

Leverage a data foundation that is quickly actionable. We build the groundwork for performance, governance, and scalability within Snowflake so it continues to evolve and create value for your organization.

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Databricks

Leverage advanced modeling, powerful computing capabilities, and built-in AI within Databricks. Make strategic marketing decisions, even in complex organizational environments.

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Amazon Redshift

Optimize your marketing data performance on AWS with an architecture built on Amazon Redshift. Support measurement, segmentation, and activation at scale without adding complexity to your ecosystem.

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Azure Synapse

Structure your data and model your marketing use cases with Azure Synapse in a unified Microsoft environment. Integrate your key data sources and support your teams’ analytical decision-making.

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We master the tools that matter

Why us?

For over 15 years, we’ve been deploying marketing data warehouses and lakes.

We cover all use cases, from measurement to the preparation of data for artificial intelligence. We progress step by step while relying on a platform that evolves along with your needs, without increasing cost or complexity. We structure, test, document, and activate with a single priority in mind: generating value fast. Because a data lake needs to be useful, high-performance, and sustainable.

Our clients’ results say it all.

85%
accuracy in detecting churn
Reduce customer churn through predictive modeling and AI
Artificial Intelligence +13

In a high-growth context where retention is key to profitability, we helped WeCook turn its data into a competitive advantage.

By building a unified data warehouse and developing an AI-powered churn prediction model, we enabled the team to identify at-risk customers and act proactively, with insights directly usable by marketing teams.

Results: 85% accuracy in detecting at-risk customers, a full implementation completed in just one month despite complex data sources, and a stronger ability to generate advanced insights to optimize marketing operations.

Proof that a strong data foundation, combined with AI, can turn complex data into actionable business decisions.

- 25%
reduction in data gap
Unifying data for more reliable business decisions
Data Collection and Engineering +8

In a complex global environment, Aldo faced a critical issue data from analytics platforms did not match financial reporting, limiting executive confidence.

We centralized and harmonized the entire data ecosystem by migrating to a unified platform. By integrating multiple data sources and structuring them to reflect business reality, we enabled a consistent and reliable view of performance.

At the same time, we democratized access to data to support decision making across the organization.

Result the gap between analytics and finance data was reduced by 25%, data now covers over 80 countries and more than 100 users actively leverage it to drive performance. Proof that reliable data is essential to support growth at scale.

Finding answers is in our DNA.

What is the difference between a data warehouse and a data lake?

A data warehouse structures data for analysis while a data lake stores data that is in a more raw state for a variety of uses, such as performance analysis, segmentation, audience activation, advanced analytics, and AI. 

Why build a marketing data warehouse?

To connect marketing data to business results in a reliable way. A warehouse lets you centralize sources (media, web, CRM/ERP), produce coherent KPIs, and support advanced measurement (MMM, causal analysis) and automation.

What marketing use cases are supported by a warehouse?

Performance measurement, automation, and preparation for AI. Frequent examples: strategic and tactical dashboards, advanced measurement models, automated ingestion, activation of audiences, and experimental uses by AI agents.

What data sources can be connected to a marketing warehouse?

We can connect media platforms, web analytics platforms, CRM/ERP, and customer data platforms. Typical sources include advertising platforms, GA4, customer data, and internal systems (depending on the context).

What is a composable approach to data?

It’s a way of progressively building a platform by module. Every stage adds value without redoing the entire architecture: ingestion, transformation, data model, BI, activation, then advanced analytics/AI.

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You know where you want to go.
We know how to get you there.


Tell us what you need and we’ll help you find the best solution.
Contact us or 514-589-4563

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