Knowledge base

ESG must drive decision-making from both a regulatory and strategic standpoint. By doing so it becomes a vital part of the company’s DNA. Whilst enabling ESG within an organization comes with an increased reporting burden, there are means to diminish the burden and maximize the returns of the ESG business strategy. The availability of quality data and an optimized transformative data process is key. But getting there also comes with challenges to tackle.

Microsoft selected element61 to host the "Best of Microsoft Fabric & FabCon" at the Microsoft Belgium Headquarters. The event aimed to showcase the latest advancements and insights into Microsoft Fabric.  

TimeXtender and Microsoft Fabric share a joined vision: they both aim to simplify analytics and enable business users to develop their analytics workloads themselves. Where analytics has grown tremendously in the last years, today analytics is in many tools very technical, code-intensive and thus requires an engineering/coding background. Not with TimeXtender and Microsoft Fabric.

At element61, we’ve always kept a close eye on Microsoft’s annual Ignite conference, as it sets the tone for the future of Data and AI technologies. This year, Microsoft introduced Azure AI Foundry, a reimagined platform that brings all Azure AI tools under one roof to simplify, accelerate, and elevate the development of AI solutions. For us, this announcement resonated as a step toward making AI accessible and impactful for businesses of all sizes (and not just the big corporates)

Hanne Van Schepdael did her internship at element61 in the summer of 2024. The central question was to uncover root causes in specific scenarios, such as identifying anomalies, peaks, or downturns.

The first Fabric Community Conference was a blast! It was packed with previews and practical insights that are set to reshape how we approach data, AI, and analytics. With our colleague Justine Hanssens serving as an official speaker, element61 was there on the first row and left feeling inspired! Here are our top 10 insights that caught our attention.

The shift to real-time data processing, facilitated by cloud platforms like Azure Databricks, allows businesses to react instantaneously to dynamic data streams, eliminating traditional scheduling constraints. However, this setup comes with hidden costs.