Latest news with #datavisualization
Yahoo
14 hours ago
- Health
- Yahoo
SciChart Wins Healthcare Tech of the Year at 2025 National Technology Awards
Recognized for Transforming Real-Time Medical Decision-Making with Precision Data Visualization LONDON, July 12, 2025 (GLOBE NEWSWIRE) -- SciChart, the world's leading provider of high-performance charting and data visualization software, has been awarded Healthcare Tech of the Year at the 2025 National Technology Awards — one of the UK's most prestigious honors for technology innovation. Run annually by National Technology News, the awards celebrate groundbreaking contributions across AI, healthtech, fintech, cybersecurity, and more. SciChart was selected from a competitive field of medtech innovators for its pivotal role in enabling real-time clinical decisions in some of healthcare's most demanding environments — from neurorehabilitation and surgical platforms to large-scale telehealth deployments. 'This award recognizes a silent but powerful revolution,' said Andrew Burnett-Thompson, CEO and Founder of SciChart. 'Medical technology is only as useful as the decisions it enables. With SciChart, we're helping clinicians and researchers around the world make faster, safer, smarter decisions — when seconds matter most.' Driving the Future of Data-Driven Care In an era where precision and speed are paramount, SciChart is redefining the possibilities for medical interfaces, driving innovation from operating rooms to rehabilitation labs and critical care dashboards. Real-Time Recovery for Motor-Impaired Patients In advanced neurorehabilitation trials, SciChart enabled real-time visualization of muscle activity, kinematic movement, and neural stimulation — all on a single interface. This allowed clinicians to align stimulation with patient motion dynamically, contributing to patients regaining voluntary movement within days. Advanced Imaging and Diagnostics For cutting-edge clinical applications like ultrafast laser data and fluorescence capture, SciChart slashed rendering delays from 20 minutes to under 2 seconds. This unparalleled speed empowers surgeons to make immediate intraoperative decisions using live feedback and AI-generated signal analysis. 'SciChart delivered the speed and performance we needed to handle complex, high-resolution medical data — something our previous tools just couldn't keep up with.' – Head of Innovation, Surgical Technology Company Scalable Telehealth Across 5,000+ Patients One of the world's leading medical technology providers deployed SciChart to power real-time patient monitoring across 25 hospitals — enabling clinicians to respond faster to critical events and improving care for over 5,000 patients daily. Custom dashboards enabled clinicians to spot anomalies instantly, while streamlined workflows improved operational efficiency across hospital networks. Powering the Interface Between AI and Action As AI reshapes diagnostics and intervention, it creates a new challenge: delivering insights in real time, clearly and reliably. SciChart provides the high-performance visualization layer that bridges the gap between algorithmic output and clinical action — enabling live, data-rich user interfaces in surgery, diagnostics, and remote care. Unlike generic charting libraries, SciChart is purpose-built specifically for demanding, real-time medical applications, seamlessly transforming abstract data into clinically actionable insights. From live kinematic visualizations to fluorescence overlays, SciChart is the silent engine behind the next generation of healthcare technology. About SciChart Founded in 2010, SciChart provides the world's fastest, most flexible data visualization libraries. Trusted across industries where performance is paramount — including healthcare, finance, energy, and scientific research — SciChart empowers critical decision-making. Learn more at Press ContactAlicja RadwanskaChief Marketing Officer, SciChartalicja@ A photo accompanying this announcement is available at Videos accompanying this announcement are available at:
Geeky Gadgets
2 days ago
- Business
- Geeky Gadgets
Are Your Charts Boring? : Transform Your Power BI Charts into Stunning Visuals
Have you ever poured hours into crafting a Power BI report only to realize your charts are, well, uninspiring? You're not alone. While Power BI column charts are a staple for visualizing data, their default look often falls short of grabbing attention or driving engagement. Imagine presenting a report on app downloads where the most critical insights—like the top-performing app or monthly trends—blend into the background, overlooked by your audience. The truth is, even the most valuable data can lose its impact if the visuals fail to communicate effectively. But here's the good news: with a few strategic tweaks, you can transform those bland charts into visually compelling tools that not only inform but captivate. Chandoo takes you through how to breathe life into your Power BI column charts by using features like conditional formatting, dynamic titles, and interactivity. You'll discover how to highlight critical data points, such as the app with the highest downloads, and craft visuals that adapt in real-time as your dataset evolves. Beyond technical tips, this guide will show you how thoughtful design choices—like removing clutter and adding context—can elevate your charts from functional to unforgettable. By the end, you might just find yourself looking forward to your next data presentation, knowing your visuals will leave a lasting impression. Enhance Power BI Column Charts Understand Your Dataset for Effective Visualization A strong visualization begins with a thorough understanding of the dataset. In this scenario, the dataset includes essential metrics such as monthly app downloads, uninstalls, and user ratings (five-star, one-star, and total). The primary objective is to analyze app downloads to uncover trends and pinpoint the top-performing app. By comprehending the structure and purpose of your data, you can design a chart that not only displays numbers but also provides actionable insights. A clear understanding of your dataset ensures that your visualizations align with your analytical goals. Enhance Your Chart with Customization Customization is key to creating a chart that delivers deeper insights. Begin by allowing Power BI's 'on-object interaction' feature, which simplifies the formatting process by allowing you to make adjustments directly on the chart. Instead of relying on raw data columns, use measures to calculate key metrics such as total downloads. Measures are dynamic and automatically update as your data changes, making sure that your chart remains relevant and accurate over time. This approach allows you to focus on presenting meaningful insights rather than static figures. Are Your Power BI Charts Are Boring? Watch this video on YouTube. Here is a selection of other guides from our extensive library of content you may find of interest on Power BI charts. Use Dynamic Titles and Subtitles for Context Dynamic titles and subtitles play a crucial role in guiding your audience through the data. Use DAX functions like `MAXX` and `TOPN` to identify the most downloaded app and calculate its metrics. For example, if an app has 53,428 downloads, format the number as 53.4K to enhance readability. These titles and subtitles should update automatically as the data evolves, providing real-time insights and making sure that your audience stays informed. By incorporating dynamic elements, you create a narrative that helps viewers understand the significance of the data. Highlight Key Data with Conditional Formatting Conditional formatting is a powerful tool for emphasizing critical data points. Create a measure to assign color groups, such as 1 for the most downloaded app and 0 for others. Apply these rules to your chart to visually distinguish the top-performing app with a unique color. This technique ensures that important information stands out, making it easier for viewers to interpret the data at a glance. Highlighting key data points not only improves readability but also draws attention to the most significant insights. Refine the Visual Design for Professional Impact A polished design enhances the effectiveness of your chart. Remove unnecessary elements such as axis titles and gridlines, which can clutter the visual. Instead, add data labels directly to the chart for improved clarity. Customize the chart's borders, background, and shadow effects to create a professional appearance. To add context, consider incorporating icons or symbols relevant to your data, such as app-related graphics. These design choices make your chart more visually engaging while maintaining a clean and professional look. Incorporate Interactivity for Deeper Insights Interactivity is one of Power BI's most valuable features, allowing users to explore data dynamically. Add slicers, such as date filters, to enable users to customize their view of the data. Ensure that all chart elements—titles, subtitles, and highlights—adjust automatically based on slicer selections. This functionality enables users to dive deeper into the data, uncover specific insights, and tailor their analysis to their unique needs. By incorporating interactivity, you create a more engaging and user-friendly experience. Perfect the Final Details The finishing touches can significantly enhance the overall impact of your chart. Adjust font styles and sizes for titles and subtitles to ensure readability. Align the chart with the overall page design and background for a cohesive look. These small refinements help your chart integrate seamlessly into your report while maintaining a professional and polished appearance. Attention to detail ensures that your chart not only communicates insights effectively but also leaves a lasting impression on your audience. By applying these strategies, you can transform a standard Power BI column chart into an engaging and insightful visualization. Through dynamic interactivity, conditional formatting, and thoughtful customization, your chart becomes a powerful tool for decision-making, allowing stakeholders to quickly grasp critical information and act on it. Media Credit: Chandoo Filed Under: Guides Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Geeky Gadgets
09-05-2025
- Business
- Geeky Gadgets
Unlock Stunning Power BI Dashboards with SVG and DAX
Have you ever felt limited by Power BI's default visuals, wishing for something more dynamic, interactive, or tailored to your unique needs? While Power BI excels at transforming raw data into meaningful insights, its native visualizations can sometimes feel restrictive, especially when you're aiming for a truly standout dashboard. Here's the good news: by combining the power of Scalable Vector Graphics (SVG) with DAX (Data Analysis Expressions), you can break free from these constraints. This approach allows you to craft visuals that are not only visually stunning but also responsive to your data, creating a level of customization that's hard to achieve with out-of-the-box tools. In this guide, Chandoo shows how SVGs can transform your Power BI dashboards. From designing scalable, resolution-independent visuals to dynamically linking them to your datasets using DAX, the possibilities are vast. Whether you're looking to create interactive KPI indicators, dynamic charts that adapt to slicers, or custom visuals tailored to your brand, this guide will walk you through the process. Along the way, you'll also uncover practical tips, examples, and best practices to help you sidestep common pitfalls and maximize the potential of SVGs. Imagine transforming your dashboards into tools that not only inform but also captivate—what could that mean for your next project? Enhancing Power BI with SVGs What Are SVGs and Why Use Them? Scalable Vector Graphics (SVG) is a widely used web-based format for creating vector images. Unlike raster images, which lose quality when resized, SVGs are resolution-independent, meaning they scale seamlessly without losing clarity. This makes them ideal for creating visuals that need to adapt to different screen sizes or zoom levels. In Power BI, SVGs allow you to go beyond the default visualization options. You can design custom shapes, icons, and text-based graphics that are tailored to your specific data. This flexibility enables you to create dashboards that are not only visually appealing but also highly functional and responsive to user interactions. How to Create SVG Visuals in Power BI Integrating SVGs into Power BI involves a structured process that combines design, coding, and rendering. Here are the key steps: Design the SVG: Use tools like Boxy SVG Editor, Adobe Illustrator, or Inkscape to create your desired shapes, icons, or text-based graphics. Once designed, export the SVG code and modify it for compatibility with Power BI. For example, replace double quotes with single quotes to ensure proper rendering. Use tools like Boxy SVG Editor, Adobe Illustrator, or Inkscape to create your desired shapes, icons, or text-based graphics. Once designed, export the SVG code and modify it for compatibility with Power BI. For example, replace double quotes with single quotes to ensure proper rendering. Generate SVG Code with DAX: Write DAX measures to dynamically generate SVG code. By linking SVG properties such as size, color, and position to your dataset, you can create visuals that respond to changes in your data. Write DAX measures to dynamically generate SVG code. By linking SVG properties such as size, color, and position to your dataset, you can create visuals that respond to changes in your data. Render the SVG in Power BI: Assign the 'Image URL' data category to your DAX measure. This step allows Power BI to interpret and render the SVG within table or matrix visuals. This process enables you to create dynamic visuals that update automatically as your data changes, offering a level of customization that is difficult to achieve with Power BI's native visuals alone. Easily Make Awesome SVG Charts with DAX in Power BI Watch this video on YouTube. Uncover more insights about Power BI in previous articles we have written. Practical Applications of SVGs in Power BI SVGs open up a wide range of possibilities for creating unique and interactive dashboards. Here are some practical applications: Employee Attendance Dashboards: Design employee cards that display attendance percentages, along with interactive calendar visuals to show daily attendance trends. This can provide HR teams with a clear and engaging way to monitor workforce attendance. Design employee cards that display attendance percentages, along with interactive calendar visuals to show daily attendance trends. This can provide HR teams with a clear and engaging way to monitor workforce attendance. Dynamic Visuals: Create visuals that adjust dynamically based on slicers or filters. For example, a bar chart could change its color or size based on performance metrics, offering a more intuitive way to interpret data. Create visuals that adjust dynamically based on slicers or filters. For example, a bar chart could change its color or size based on performance metrics, offering a more intuitive way to interpret data. Custom KPI Indicators: Use SVGs to design unique KPI indicators, such as progress bars or status icons, that align with your organization's branding and reporting needs. These applications demonstrate how SVGs can transform static dashboards into interactive tools that provide deeper insights and a more engaging user experience. Benefits of Using SVGs SVGs bring several distinct advantages to Power BI visualizations, making them a valuable tool for advanced reporting: Customization: Overcome the limitations of native visuals by designing highly tailored graphics that align with your specific reporting needs. Overcome the limitations of native visuals by designing highly tailored graphics that align with your specific reporting needs. Interactivity: Link SVG properties to data-driven measures, allowing visuals to respond dynamically to user inputs such as slicers or filters. Link SVG properties to data-driven measures, allowing visuals to respond dynamically to user inputs such as slicers or filters. Flexibility: Represent data in creative ways using shapes, icons, or text-based designs, allowing for more intuitive and visually appealing dashboards. Represent data in creative ways using shapes, icons, or text-based designs, allowing for more intuitive and visually appealing dashboards. Scalability: SVGs maintain their quality regardless of size, making sure that your visuals look sharp and professional on any device or screen resolution. These benefits make SVGs an excellent choice for users looking to create impactful and engaging Power BI dashboards. Challenges and Limitations While SVGs offer significant advantages, they also come with certain challenges that users should be aware of: Performance Impact: Complex SVG designs or large datasets can slow down report performance, particularly when rendering multiple visuals simultaneously. Complex SVG designs or large datasets can slow down report performance, particularly when rendering multiple visuals simultaneously. Measure Size Restrictions: Power BI imposes a 32,000-character limit on DAX measures, which can constrain intricate SVG designs or highly detailed visuals. Power BI imposes a 32,000-character limit on DAX measures, which can constrain intricate SVG designs or highly detailed visuals. Compatibility Issues: SVGs are best suited for table and matrix visuals. They may not render reliably in other visual types, limiting their versatility in some scenarios. SVGs are best suited for table and matrix visuals. They may not render reliably in other visual types, limiting their versatility in some scenarios. Tooltip Display: By default, tooltips display raw SVG code unless customized. This can confuse end-users and may require additional effort to create user-friendly tooltips. Understanding these limitations is crucial for effectively integrating SVGs into your Power BI reports and making sure a smooth user experience. Best Practices for SVG Integration To maximize the benefits of SVGs while minimizing potential challenges, consider the following best practices: Simplify SVG Code: Keep your SVG designs concise and avoid unnecessary complexity to reduce performance issues and ensure faster rendering. Keep your SVG designs concise and avoid unnecessary complexity to reduce performance issues and ensure faster rendering. Test with Small Datasets: Validate your visuals with smaller datasets before scaling up to larger ones. This helps identify potential performance bottlenecks early in the development process. Validate your visuals with smaller datasets before scaling up to larger ones. This helps identify potential performance bottlenecks early in the development process. Use Templates: Use pre-built templates or examples from experts, such as Carrie Colosco's SVG templates, to streamline your workflow and reduce the time required to create custom visuals. Use pre-built templates or examples from experts, such as Carrie Colosco's SVG templates, to streamline your workflow and reduce the time required to create custom visuals. Optimize DAX Measures: Write efficient DAX code to minimize the character count and improve performance, especially for complex visuals. By following these best practices, you can ensure that your SVG-enhanced Power BI dashboards are both visually impressive and technically efficient. Future Potential of SVGs in Power BI The integration of SVGs into Power BI represents a significant step forward in data visualization. As the Power BI ecosystem continues to evolve, the potential for SVGs is likely to expand. Future advancements could include: More sophisticated visuals, such as interactive employee cards or dynamic calendars, that further enhance user engagement. Improved support for SVG rendering across a wider range of visual types, increasing their versatility. Expanded resources and tutorials to help users of all skill levels unlock the full potential of SVGs in Power BI. These developments will enable users to create even more innovative and impactful dashboards, solidifying SVGs as a cornerstone of advanced Power BI reporting. Media Credit: Chandoo Filed Under: Guides Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
