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Build your end-to-end data platform

Improve your Business Intelligence

Let's work together!

Why ?

Make sense of your data

Business Intelligence (BI) is essential for your business as it allows you to transform raw data into actionable and relevant information.

Your business generates a large amount of data every day, but this data only has value if it can be properly analyzed and interpreted.

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Challenges

Make decisions faster and more informed.

Valentin

The expert

Valentin DLP.

Data Analyst

Business Intelligence offers numerous advantages, including improved decision-making, enhanced visibility into business performance, identification of growth opportunities, better understanding of customers, and cost reduction.

By selecting the right tool and implementing the right BI strategy, your company can gain a competitive advantage by making faster, more informed, and more accurate decisions to improve profitability and overall performance.

Business Intelligence offers numerous advantages, including improved decision-making, enhanced visibility into business performance, identification of growth opportunities, better understanding of customers, and cost reduction.

By selecting the right tool and implementing the right BI strategy, your company can gain a competitive advantage by making faster, more informed, and more accurate decisions to improve profitability and overall performance.

Valentin

The expert

Valentin DLP.

Data Analyst

Customized support

With our expertise in Data Visualization and knowledge of the technical stack (Power BI, Tableau, Google Data Studio, Looker), we are committed to guiding you in building relevant dashboards that will enable the identification of key KPIs for the growth of your business.

Our customizable products

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Business Intelligence

We establish Business Intelligence standards to support the rapid delivery of easily manipulable information and the construction of effective dashboards tailored to your business needs

  • Perfect understanding of data: providing relevant indicators, being proactive, training business users and developers.

  • Visualization: producing user-friendly and visually appealing reports for end-users.

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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 improved their Business Intelligence

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Business intelligence

A customized dashboard to track the ROI of marketing campaigns

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Business Intelligence

3 months to assist sales representatives in capitalizing on the increase in the face value of meal vouchers

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