Data Factory

This postal services company is one of the oldest in France. With its extensive experience, it has always managed to adapt, staying competitive and appealing to customers, even diversifying significantly when necessary. Today, this same drive for adaptability extends to its data management.

Struggling with data accessibility issues, its teams faced challenges in effectively addressing emerging needs. To overcome these obstacles, multiple Data Marts and data silos were developed, solving local problems but exacerbating issues related to data ownership and consistency. With repeated data replication, inconsistencies and quality issues arose, further complicating the maintenance of this increasingly complex ecosystem. A rationalization initiative was needed before the situation spiraled out of control.

Solution

It quickly became evident that a Data Mesh approach could bring value to this seemingly inextricable situation. The most pressing challenge was addressing the lack of data ownership at the platform level. By gathering business needs, Onepoint worked with client teams to define a new organizational data architecture with clearly identified data domains. These domains, responsible for the data they produce and process, ensured better control over data management.

However, the issue of compulsive data replication remained. To resolve this, Onepoint implemented a Data Marketplace, allowing teams to access the data they needed while maintaining global platform coherence. To power this platform, a Data as a Product approach was applied across all domains, ensuring efficient and structured data consumption.

Finally, federated governance enabled each domain to remain autonomous while adhering to platform-wide standards. This implementation involved extensive design workshops and team training on the benefits and strengths of the Data Mesh approach.

Outcome

Onepoint delivered a comprehensive roadmap outlining the key elements required for the successful implementation of this Data Mesh. Additionally, Onepoint provided ongoing support in both the setup and continuous operation of the platform, ensuring its long-term success.

This client has several experienced teams of Data Analysts. However, over time, the company noticed that analysts sometimes got lost in automated reporting, which had become routine. While reports remained relatively static, customer profiles and consumption habits were constantly evolving. To better understand these trends and gain greater flexibility, the company turned to Onepoint to help refresh its data storytelling approach.

Solution

To enhance visibility, comprehension, and memorability of the presented data, Onepoint worked methodically with the client to:

• Define and understand the target audience.
• Establish a content strategy to ensure the visuals effectively answer key business questions.
• Structure the narrative and interactions to deliver messages clearly and without friction.

Onepoint also conducted a benchmark study of reporting and Data Storytelling tools, helping the client select the most suitable solution for its needs.

Beyond theoretical studies, Onepoint provided hands-on support, guiding internal teams in developing their own visualizations and sharing its expertise in the field.

Outcome

The project energized the client’s teams, improving their versatility by exposing them to new and ambitious visualization approaches. This resulted in greater impact in message delivery, enabling a deeper and more effective understanding of key insights.

In the context of growing technological diversity, widespread use of distributed systems, and increasingly complex authentication mechanisms, the client sought Onepoint’s expertise to identify major security trends and define implementation strategies.

Solution

Onepoint began by conducting a comprehensive audit of the client’s existing solutions, focusing on security and user adoption.

Leveraging its experience and research capabilities, Onepoint identified and analyzed the client’s key technological categories, including Kafka, Snowflake, and its APIs. Through this assessment, Onepoint was able to propose security improvements, which were subsequently implemented by the client’s teams.

Outcome

Onepoint’s recommendations provided the client with a clear and objective evaluation of its Data infrastructure security. Key recommendations included:

• Centralizing user management in a cloud-based SaaS solution.
• Securing the Hadoop cluster by implementing Ranger, Knox, and Alas.
• Enhancing Kafka security through SASL Kerberos authentication and mutual SSL encryption.

These measures significantly strengthened the client’s security framework, ensuring greater resilience and compliance in an evolving technological landscape.