Bence Arató
Az előadás áttekintést ad az idei év legfontosabb BI trendjeiről és eseményeiről.
Erika Kacsó
A 2026-tól hatályba lépő EU-s bértranszparencia szabályozás hatással lesz az üzleti elemzésekre és riporting folyamatokra is, különös tekintettel az adatbiztonságra.
Az előadásban bemutatjuk, hogy a Power BI világában milyen megoldásokkal tudjuk összhangba hozni a transzparencia és az adatvédelem között feszülő ellentéteket. Gyakorlati tippekkel és valós példákkal - mert 2026 közelebb van, mint gondolnád!
Patrícia Rumbach
Az IBCS használatával nem ígérheted meg, hogy szebb lesz a jelentés.
Akkor mit ígérhetsz helyette? Jobb és gyorsabb megértést.
Az előadásban az AUDI Hungary IBCS bevezetésével kapcsolatos tanulságokról és tapasztalatokról fogok beszélni:
- Hogyan került az IBCS az Audi Hungariához
- Mik a hatékony jelentések jellemzői a megértés és a döntéshozatal szemszögéből
- Hogyan lehet eljutni a bevezetésig. Hogyan magyarázzuk el az IBCS hasznosságát azok számára, akik eldöntik, hogy bevezessük-e vagy sem
- Hogyan tettük számszerűsíthetővé az IBCS hatékonyságát egy saját mérésen alapuló vizsgálattal
Benni De Jagere
You've heard about Microsoft Fabric, and you're ready to take it for a spin? Excellent, let's get us started off in those few advertised minutes! But hold on .. you need a capacity to actually use something, and might not be completely clear on what it actually entails? You're not alone with these questions, and it is perfectly fine to stop and think about it for a while. In fact, it's a good thing you want to understand the single most core concept of Fabric as that will hopefully allow you to make better decisions down the road.
The introduction of Fabric Capacities sparked a lot of questions with Data Architects, Engineers, and Analysts coming from an IaaS or Paas (Infrastructure or Platform as a Service) way of working. Microsoft Fabric is presented as an all-in-one Analytics SaaS (Software as a Service) solution, with a unified measure for Compute and Storage. Great, promising to make the cost and performance predictability a lot simpler. Great! But what exactly does that mean, and what will it actually cost the company?
To understand Fabric Capacities, we need to briefly look at the architecture and what exactly those unified measures look like, including how they are similar, yet different from the existing Power BI Premium Capacities. Understanding the different types and sizes of capacities will help us make the right decisions for our Data Platform solutions in the organization.
But then, how do you manage those capacities and assess if they are in a healthy state? What are some of the options to follow the demands and needs of your business users to allocate the right resources to them? Most importantly, what options do I have to automate the majority of these tasks?
Walking out of the session, you should understand the key concept of Fabric Capacities and how they are at the core of everything you'll do in Microsoft Fabric, be able to choose the one that is right for you, periodically assess if the choice was right, and act where needed.
Tamás Polner
Covers new capabilities of Power BI/Fabric copilot and how to use them in our everyday work both from a user or developer perspective.
Marc Lelijveld
Why spend time digging through dashboards to find a KPI when you could just ask a question and get the answer instantly?
In this session, we’ll explore how Microsoft Fabric is changing the way we work with data — moving away from static reports toward dynamic conversations. You don’t need to click through filters or build visuals — just ask your question and get straight to the answer.
We’ll walk through the tools that make this possible, including:
- Natural language to SQL, KQL and DAX capabilities in Fabric
- Copilot in Power BI
- Data Agents (AI Skills) to create your own chat-based data experiences
- Copilot Studio & AI Foundry to enrich these experiences
You’ll leave with practical examples and ideas to help you rethink how users engage with data in your own use cases
Saloni Shah
When I joined Cloudflare, there was no centralized design system for data visualizations—just a patchwork of dashboards with inconsistent styles and usability.
In this session, I’ll share how I audited existing visualizations, gathered insights from users across the company, and initiated a cross-functional focus team to build a scalable, cohesive visualization design system. You'll hear about the challenges of aligning stakeholders, driving adoption in a large organization, and designing for clarity, flexibility, and performance in complex data environments.
Andy Cotgreave
"Dashboards are dead!" cry the AI advocates. But are they? What role does the dashboard have in this age of AI?
In this talk, Andy will explore the changes that AI is bringing to dashboards, and how to adopt Gen AI *and* traditional dashboards to fit a modern data analytics strategy.
Amanda Makulec
We surveyed over 450 dashboard creators when writing Dashboards That Deliver and asked a big picture question: do you agree with the statement ‘most dashboards fail’? More than 70% of the respondents agreed, and that’s among people with a vested interest in seeing dashboards succeed.
The secret to designing a dashboard that has an impact?
Start with understanding your users deeply, then design with them as partners.
During this talk, you’ll learn the Dashboards That Deliver design framework, which blends user-centered design, Agile, and data viz practices and the authors’ experiences designing thousands of dashboards across industries.
Then we’ll dive into a few practical examples to see how the framework applies in practice and what lessons you can apply to the next dashboard you design, whether you’re a team of one or an enterprise analytics team..
