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Build your end-to-end Data platform

Centralize your data on an end-to-end platform

Let's work together!

Why ?

Gain a comprehensive view of all your data

You have multiple data sources in various formats coming from different applications specific to each business activity within your company (logs, insights, third party, etc.).

So how can you obtain a comprehensive view of all your data? How do you build a platform that gathers the relevant data for your company?

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Challenges

Ensure the reliability of your data and secure their processing and usage

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The expert

Vincent D.

Lead Data Engineer

According to a study by Nucleus Research, companies can achieve a 188% return on investment by using a data platform.

This is due to cost reduction in data collection and management, as well as improved productivity and operational efficiency.

In summary, building a data platform can enhance your company's efficiency by accelerating data processing, increasing data accuracy, improving worker productivity, and reducing costs associated with data collection and management.

According to a study by Nucleus Research, companies can achieve a 188% return on investment by using a data platform.

This is due to cost reduction in data collection and management, as well as improved productivity and operational efficiency.

In summary, building a data platform can enhance your company's efficiency by accelerating data processing, increasing data accuracy, improving worker productivity, and reducing costs associated with data collection and management.

Vincent-min

The expert

Vincent D.

Lead Data Engineer

Customized support

With its expertise in Data Engineering and strategic partnerships (Snowflake, Databricks, Google Cloud), we are committed to guiding you in building the most relevant data platform that ensures the quality, performance, and scalability of your business.

Our customizable product

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Technical challenge

During the technical challenge, we identify business challenges and potential solutions for the design of your data strategy. Then, we perform an analysis of your existing infrastructure to verify technical feasibility.

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ETL Creation

During the creation of your ETL, we are committed to building an efficient system for data extraction, transformation, and storage. With the objective to: 

  • Streamline, synchronize, and format data flows

  • Aggregate and migrate data from multiple systems

  • Automate manual data collection

  • Lay the foundation for Data Science and visualization projects

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Data product discovery

The data product discovery phase aims to mitigate risks related to value, business viability, usability, and technical feasibility of a data product in the most cost-effective manner possible.

This approach is based on hands-on experience to overcome client biases and focuses on the data product strategy by:

 

  • Utilizing a multidisciplinary team to address all risks.

  • Employing an iterative approach to deliver value from the first release.

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First pattern

They have centralized their data

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Data Engineering

Business Intelligence serving operational efficiency.

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Data Engineering

A 100% digitization of clinical trials

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