Eunoia

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Eunoia, a data analytics company, is located in L-Imsida, Malta. The small company was established in 2017. Their team provides BI & big data consulting & SI, Artificial Intelligence, cloud consulting & SI, AI Consulting, and more.

Client Insights

Industry Expertise

Manufacturing

25%

Retail

25%

Financial services

20%

Gambling

15%

Insurance

15%

Client Size Distribution

Midmarket ($10M - $1B) 35%

Enterprise (>$1B) 65%

Common Project Size

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Clients

This provider has not added their key clients.

Highlights from Recent Projects

Overall Rating

5.0
1 Review

Eunoia, a premier consulting firm, completed an extensive and transformative project for Atlas Insurance PCC, a leading Maltese insurer. Atlas Insurance was grappling with issues related to scalability and analytics efficiency, predominantly due to their use of a legacy BI solution. Eunoia was recruited to overhaul the existing system and improve Atlas' ability to interpret and utilize rapidly increasing data.

Eunoia implemented a full-scale rewrite of Atlas' prior on-premises legacy data warehouse and OLAP cubes resulting in a natively cloud-based model. They ensured continuity in the process by maintaining the same dimensions and measures. Training was provided to Atlas' data engineering team to further bolster the system's operation, and to optimize data science solutions. The result was a robust and scalable cloud enterprise-grade data warehouse capable of connecting multiple data sources.

The results of Eunoia's work have enabled Atlas Insurance to effectively manage a significantly increased data flow. The adoption of Databricks provided Atlas with a unified analytics platform, combining the needs of data engineering and data science teams. This not only enhanced the data framework's security but also streamlined ML and AI needs. The partnership began in April 2019 and has since expanded to multiple projects, including Generative AI, demonstrating Eunoia's comprehensive and adaptable solutions.

Timeliness

5.0

Service Excellence

5.0

Value

5.0

Would Recommend

5.0