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The FAST Data Analytics project was a collaboration between element61 and Euronav to leverage a modern data platform architecture to handle the large and complex data generated by the sensors on board the vessels. The data platform feeds insights & data to FAST itself and uses Azure services such as Event Hubs, Data Explorer, Databricks and a Data Lake. The data platform also supports various use cases for different stakeholders at Euronav supporting data products on fuel optimizations & noon reporting. The data platform enables FAST to deliver real-time and accurate insights to the users and facilitate data-driven decision making.

The project aimed to design and implement a marketing data platform for Klépierre. A platform that enables Klépierre to collect, integrate, and analyze data from various sources, such as SAP, Salesforce, and a lot of marketing & footfall external providers, and to generate insights and reports for marketing and business decisions. The platform was built in this project on Microsoft Azure Cloud using Synapse Analytics, Data Factory, and Power BI, and follows the best practices and standards of data governance and security.

Azelis was been undergoing a digital transformation, migrating various systems to the cloud, including introducing Microsoft Dynamics 365. As the existing on-premise DWH of Azelis was facing performance, scalability, and flexibility challenges, and could not cope with the upcoming Dynamics migration, Azelis wanted to have a clear, well-thought, and future-proof architecture and data platform ready to enable self-service BI and advanced analytics capabilities for the business users.

As part of a broader modernization journey, Acerta is migrating their on-premise data warehouse to a Modern Data Platform in Azure & Databricks. This migration was done not as a project but rather tackling use-case by use-case as new requests & business projects came it. As element61 we guided this end-to-end stepwise migration and development of new use-cases ; all in a coaching & codevelopment set-up with the internal data team at Acerta.

In 2022, Acerta accelerated their digitalized back-end with the use of Service Now as back-end to serve customer better. Acerta uses both CSM, ITSM, HRSD and other modules in Service Now. This project related to make the Service Now data speak both in reporting: status of tickets, team efficiency & service KPIs as well as in data integration. All analytics on Service Now was done using a Modern Data Platform with Azure, Databricks & Power BI

As digitalization accelerates throughout Acerta in its interactions with leads & customers, personalization takes a growing importance. In this project element61 helped define the approach forward on personalization through all digital touchpoints available. The project was twofold incl. clarifying the personalization use-cases but also building an actual specific personalization Data Product API for website personalization currently in use.

To accelerate the digital leap, Vinçotte wanted to accelerate the reporting & cockpits available through the organization & towards external customers. In this acceleration, element61 helped in the creation, optimization & performance improvement of a variety of Power BI reports.

In the last years, Vinçotte took a digital leap through the VForce project aimed to digitalize operations & offer a better service. To support VForce with data, element61 help build a modern data platform for asset management, which aims to provide a 360-degree view of the assets that Vinçotte inspects and certifies. The project focused on delivering analytic data products that support the internal and external needs of Vinçotte, such as actual APIs for customers but also reporting on asset lifecycle and government reporting.

In the last years, Vinçotte moved to a Dynamics 365 F&O platform for all Finance operations & beyond. This project leveraged the acceleration kits of element61 to enable best-practice reporting, using a Lakehouse Modern Data Platform, on Dynamics F&O as new ERP. ETL development was end-to-end done in Azure & Databricks with reporting in Power BI.

Our extensive Qlik Sense app helps the finance department view cumulative outstanding data. It includes cost calculations and automates interest and fee reviews. Additionally, we added functionalities to automate the review of interests and fees. Users can alter parameters, add comments and flags to each value using the Vizlib Writeback functionality.