Business Analytics Strategy

UZ Brussel

Building a Trusted Research Environment (TRE)

As part of the European SPECTRE-HD initiative, element61 supported UZ Brussel in the design and implementation of a Trusted Research Environment (TRE) to enable secure and privacy-compliant reuse of health data. The project aimed to align with the upcoming European Health Data Space (EHDS) regulation and was executed in collaboration with other Belgian university hospitals (UZA, ZOL, Saint Luc). The TRE platform was delivered as a secure, metadata-driven environment supporting both primary and secondary use of health data.
Whitepapers

Whitepaper: Enabling Analytics & AI through a Modern Data Platform

In this whitepaper, we examine how a modern architecture – called a Modern Data Platform still – can support both traditional BI needs and needs in big data, real-time and AI development. We examine the challenges of anno 2025 and we explain how a Modern Data Platform can enable both small and large organizations, and what the options are to build a data-driven organization.
Brecht Vanhee Brecht Vanhee
Bart Van Der Vurst Bart Van Der Vurst
Jeudi, 22 mai 2025
Insights

What Databricks-fans should know about SAP Business Data Cloud

SAP's analytics platform strategy has been a story of transformation. The launch of SAP Business Data Cloud (in collaboration with) Databricks could be a game-changer for many (legacy) SAP (BW) customers. This powerful combination might offer businesses the ability to seamlessly connect (finally) and share data from their SAP ecosystem (SAP S/4HANA) to Databricks hassle-free thus (finally) breaking down the SAP silo. In this article we reflect what's known & yet unknown...
Bart Van Der Vurst Bart Van Der Vurst
Pascal Boekestijn Pascal Boekestijn
Jeudi, 13 février 2025
Insights

Databricks Expands: From Data Engineering to Gen AI & Ingestion

Databricks continues its impressive growth trajectory, marked by increased adoption, revenue, expanded feature offerings, and standout summit presentations. Notably, Databricks is broadening their scope and excelling in various domains. Over the past two years, they've successfully established themselves in the Data Warehousing/Lakehousing and Data Governance spaces. Now, they are making significant strides in Data Ingestion and Orchestration, Data Visualization, while establishing themselves as a Generative AI Hub. Additionally, Databricks is expanding its user base beyond Data Engineers, Data Scientists, and Machine Learning engineers to include Data Analysts, Generative AI Engineers, and even business professionals without coding or SQL skills. Coupled with their open-source strategy and remarkable rate of innovation, it’s clear they are well on their way to achieving dominance in the Data & AI space.
Yoshi Coppens Yoshi Coppens
Lundi, 24 juin 2024