Using a CDP as a Datamart for Business Intelligence (BI)

Companies generate massive volumes of customer data from multiple sources (website, CRM, ERP, social networks, etc.). The real challenge is using this data effectively to improve decision-making. This is where Customer Data Platforms (CDPs), such as Scal-e, can be used as a datamart to feed Business Intelligence (BI) tools.

In this article, we’ll explore how a CDP can be turned into a high-performance datamart for in-depth analysis and better data activation.

1. Datamart and CDP

A datamart is a database optimized for specific types of analysis, often used for marketing, sales, or finance.

A CDP, on the other hand, collects, unifies, and structures customer data in a single customer repository (RCU). Scal-e provides a CDP that can be used as a datamart by centralizing data coming from different sources:

• Transactional data (purchases, subscriptions)
• Behavioral data (web browsing, email interactions)
• CRM data (customer profile, support)
• Online and offline data integrated via APIs or connectors

2. Why Use a CDP as a Datamart?

Using a CDP as a datamart offers several key advantages:

✅ Easy export and use in BI tools

Data can be extracted and exported via API, flat files, or ETL connectors to be analyzed in tools such as:

• Power BI
• Tableau
• Qlik Sense
• Google Data Studio

3. How to Leverage the CDP for BI?

The Scal-e CDP provides several features that enable companies to work with their data in an advanced way.

🔹 Data Virtualization for an Agile Datamart

Scal-e uses data virtualization, allowing analysts to connect and transform data stored in silos. This makes it easier to build a custom datamart tailored to business needs.

🔹 No-Code Dashboards and Reporting

The platform includes native reporting capabilities, enabling non-technical teams to create dashboards in just a few clicks, without relying on an external tool.

🔹 Data Unification and a 360° Customer View

With Scal-e, brands can unify all their data sources and create a real-time 360° customer view, which is essential for a comprehensive understanding of customer behavior.

🔹 No-Code/Low-Code Interface for Marketing and BI

Data can be manipulated without involving IT teams, thanks to a no-code/low-code interface that simplifies data exploration and analysis.

🔹 Structured and Secure Storage

The CDP stores data persistently, providing easy access for analysts and BI teams, while ensuring security and regulatory compliance.

🔹 Dynamic Segmentation and Advanced Scoring

Thanks to the Audience Builder module, it is also possible to segment customers based on advanced marketing criteria such as purchase frequency or engagement level.

4. Use Cases: Leveraging the CDP for BI

Companies that use Scal-e as a datamart gain strategic insights and a deeper understanding of their data thanks to visualization tools such as DataViz and SegmentViz.

📌 Improving Profitability and ROI

With precise segmentation and analyses based on key indicators (LTV, churn, conversion rate), companies can allocate resources more effectively and optimize profitability.

📌 Optimizing Customer Journeys

With a unified customer view, it becomes possible to anticipate behaviors and automate product recommendations or loyalty-building actions.

📌 Campaign Performance Analysis

Marketing teams can track the impact of their campaigns (email, SMS, social media) in real time and adjust actions based on actual results.

5. Security and Compliance

Using a CDP as a datamart requires rigorous management of personal and sensitive data. Scal-e guarantees:

• Strict GDPR compliance with consent management
• Secure data hosting (private cloud, SaaS, or on-premises)
• Granular access rights to control and secure platform usage

Conclusion

A CDP such as Scal-e goes far beyond managing marketing data. It can act as a true datamart, offering companies a complete solution to analyze and leverage their data efficiently, both directly within Scal-e (DataViz, SegmentViz, KPI dashboards, etc.) and by exporting it to more powerful BI tools (Power BI, Tableau, Google Data Studio, Qlik, etc.).

By integrating Scal-e with BI tools, companies can:

• ✅ Centralize and structure their data
• ✅ Build dynamic dashboards
• ✅ Make decisions based on accurate, actionable insights
• ✅ Optimize their marketing and sales strategies

The future of customer data relies on flexible, secure, and interconnected solutions. By using a CDP as a datamart for Business Intelligence (BI), your company can turn its data into a true growth engine.