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.
Lonneke Opsteegh
Become faster in designing your dashboards by using the three-layer method. Besides faster, your dashboards will have a more professional look and feel, and attuned to your key audience.
The design of dashboards can be split into three layers. Looking at your dashboard in that way, will help you tremendously with creating better dashboards. These are the layers we distinguish:
• the overall structure,
• a dashboard page/ tab,
• and each individual graph.
During this session we go swiftly through the 3 layers. Starting at the overall structure, we will work on building a wireframe to structure the information, getting to know our audience and work on incorporating your company style.
Then we quickly dive to the next layer: the dashboard tab. Where do you place the dashboard elements? Do you use navigation, and what filter type fits your dashboard?
We finish the session on the detailed level of graphs. Everyone has a ‘graph-vocabulary’: most people have 5 to 7 graphs that are top of mind. However, there are hundreds of graphs that can help you communicate your key message. We’ll discuss some graph specials, and focus on how you make your graph as effective as possible with some design choices.
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..
Edyta Szarska
- Consistent notation: A costly oversight in reporting, made even worse by AI
- ISO 24896: IBCS notation on track to become an ISO standard
- Proof of benefit: Early results of a study on the effectiveness of ISO 24896
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.
Edit Gyenge
hink about your last Google or AI search. Did you start with "How can I..."? Chances are, you did. According to Google Trends, this simple phrase has skyrocketed in popularity, pointing to what Ipsos calls a defining trend of our time: a "me-first" mindset.
This isn't just a search trend, it's a profound cultural shift visible everywhere, from our digital habits to global value systems.
So how do we create data visualizations that resonate in this new reality?
In this session, we'll connect this big picture to the daily challenges we all face. We’ll explore why the old rules of "best practice" are no longer enough when designing for people with unique "visual taste buds."
Through candid stories and a crucial case study, you'll get a practical guide to navigating this new reality.
Together, we will uncover:
• A framework for visual resonance: learn to translate the abstract desire for "beauty" into a concrete design strategy that aligns with your audience's values
• The human context model: a mental checklist for anticipating how your data will land emotionally and culturally
• The empathy differentiator: discover why the ability to act as a cultural translator is becoming more valuable than pure technical skill
You will leave with a fresh perspective on your audience, and a more resilient, human-centered approach to creating data visualizations that don't just show facts, but truly connect.
Martynas Jočys
Most BI people come from technical or business backgrounds, but creating an informative and user-friendly report requires not only good data models and formulas – a bit of design knowledge is also needed.
For not burning reader’s eyes with contrasting colors, not sucking them into the black hole of confusing menus and finally, not making them feel like they’re on a pop news site where all the ads compete for attention and the purpose of the page is deeply obscured.
Let me give a crash course on the essentials of design that everyone doing anything visual (including Power BI dashboards) with shapes (including rectangles aka bar charts) for people (who like nice colors and cat pics) should know.
Ben Ferry
Deneb is a powerful custom visualisation in Power BI, which allows us to build precise bespoke visualisation without the limitations of standard Power BI visuals. However there is a learning curve to overcome.
This session helps break down that barrier and show the steps to being proficient in the required skills are not that steep.
We will look at the first steps into Vega-Lite, one of the languages used in Deneb, and break down the basic components needed to build your first visuals and beyond.