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BUSINESS INTELLIGENCE

UNLOCK THE VALUE OF YOUR DATA WITH A PLATFORM THAT COMBINES FLEXIBILITY, PERFORMANCE, AND SECURITY

The main challenges organizations face in implementing a data lake are multiple and diverse. Here are a few:

Data integration

Combining data from various source systems (ERP, CRM, etc.) with different formats and structures into a single data lake is complex and requires robust data pipelines. As a result, organizations face challenges in integrating this diverse range of data sources while maintaining data quality.

« Data swamp »

A data lake can turn into a disorganized and unreliable “data swamp,” where data is difficult to find, use, and leverage with confidence. It is therefore essential to implement a data management platform with a robust framework that includes data quality, security, and compliance.

Deploying and managing a data lake requires a high level of technical expertise. Organizations must handle the complexities of setting up the infrastructure, configuring data ingestion pipelines, and managing storage and computing resources. Furthermore, in organizations where data volumes can grow rapidly, it can be challenging to ensure the data lake remains optimized for performance while staying cost-effective.

Implementation complexity

OUR SOLUTION IS DESIGNED AROUND A MODERN ARCHITECTURE THAT GATHERS, ORCHESTRATES, AND UNLOCKS THE VALUE OF YOUR DATA

Thanks to integrated layers dedicated to governance, quality, integration, and data consumption, our technological solution—the Intelligent Data Hub—provides reliable, accessible data that is ready for analytics and supports decision-making.

Data Orchestration

Infrastructure

Data Governance

Data Quality and MDM

Transformations

Data Integration

Data Consumption

Visualization, Analytics and AI

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Data Management

Raw

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Certified

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Enterprise

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Consumption

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Source

Systems, Application, ERP

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External systems, data services

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Manual sources, files

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Prototyping

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Adopt a technology platform capable of federating your raw data, supporting its transformation into certified data assets, and enabling its consumption or use through business intelligence.

EXPECTED BENEFITS OF THE INTELLIGENT DATA HUB FOR YOUR USE CASES

With our integrated solution, organizations can support advanced use cases while simplifying the overall management of their data assets.

Centralized repository

The intelligent data hub provides the organization with a single, centralized location to store all its data, making it easier to manage and access a wide variety of data assets. By storing data—even in its raw form—organizations can return to the original source for analytics without having to re-ingest the data.

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Support for advanced analytics

With the intelligent data hub, teams can explore data for analytics and advanced analytics (machine learning, AI applications, predictive and prescriptive analytics) that require a wide variety of data sources and flexibility.

Scalability and cost-effectiveness

With the intelligent data hub, organizations can manage massive volumes of data with generally lower-cost storage, making it highly scalable and more economical than traditional data warehouses used for storing large amounts of raw data.

The intelligent data hub makes it possible to centralize, store, and perform analytics on heterogeneous data in its raw format.

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