Row64

One of the biggest untalked-about innovations in internet history? WebGL support.  WebGL is so common nowadays that most people don’t even know they’re using it. Have you ever rendered a Google Earth landscape in insane detail? That’s WebGL. Ditched PowerPoint and Illustrator entirely for the quickness and ease of a web-based tool like Canva. That’s WebGL. Previewed a 3D render of a home or product in-browser? Played a game like Quake 3 online? Yup, also WebGL. This uniform ability to render and interact with high-quality graphics in-browser without plugins has already changed the face of the web. Now is the time to bring that speed and visual quality to business intelligence applications. We’re now in the era of WebGL 2.0 and powerful GPU dashboards.  Before 2018, dashboards were constrained to HTML and Javascript. Since then, integrated GPUs from the big three hardware manufacturers (Intel, AMD, and Apple) and the adoption of the WebGL 2.0 API from the big three browser creators (Google Chrome, Apple Safari, and Microsoft Edge) have unleashed a caliber of previously unimaginable browser-based dashboard quality and performance. This new generation of GPU GPU-accelerated dashboards allows us to -Drill down to record-level detail with millions of point-of-sale records -Visually explore the 44 million cell towers worldwide on a map in real-time -Run time-series animations of weather and cross-correlate crop growth -Select segments of roadways in large cities like Seoul - 13.5 million  -Perform skill flow analysis with org charts of tens of thousands of  employees -Track player movement through levels in a multiplayer game in real time -Automatically cross-filter structured and unstructured data types -Instantly display complex formula analysis in spreadsheet-style views This level of visibility and shareability means everyone, from data analysts to data scientists to sales managers to C-level executives, can quickly and easily view the same information interactively at a greater scale and level of detail with the same accessibility. Do you have a favorite web-enabled dashboard? Do you have a wishlist of dashboard features you want to see in the browser? Comment below and let us know what you think of the future of GPU-powered dashboards. 

Here are 44 million locations cross-filtered in a dashboard in real-time. Our team has been working hard trying to bring interactivity to geospatial in the browser. Here are the first results. They also apply to game testing, utilities, real-estate, logistics... really any kind of data involving a map or a diagram. If you're interested in learning more, please visit us at Row64.com

We surveyed 350 data analysts on everything from data visualization challenges to the importance of Python in their workflow. We wanted to share some of the most interesting findings. One of the most widespread issues identified is data software’s lack of responsiveness. Among respondents, 95% reported delays in findings due to slow software. At an average data analyst's salary of $55/hour, these delays can cost companies hundreds of dollars per employee per day, translating to hundreds of thousands of dollars a year in lost productivity. Do these findings align with your experiences? Let us know in the comments.

Integrating Spreadsheets in Dashboards One of the exciting features of the Row64 dashboard is revolutionizing data analysis in business. In this demonstration, my co-founder, Michael Isner, showcases the seamless integration of SQL and databases with Spreadsheets and A1 notation. This combination empowers companies to transform data from diverse sources into actionable insight through a single lightning-fast interface. In this example, our dashboard consolidates millions of sales and expense records from various tables and overlays real-time spreadsheet-style formula analysis. This synthesis enables the extraction of high-level insights, such as profitability and profit by product, while automatically cross-filtering out different categories, such as capital expenses and labor, in one click. We are expanding self-serve data capabilities by merging big data capabilities with spreadsheet workflows. This advancement enables everyone from VP to analyst to realize the full potential of their company's data while leveraging their existing skill sets. To learn more, visit Row64.com

Here's an animated diagram to visualize the performance benefit of contiguous memory. Low-level coding techniques can be up to 10X faster when you integrate memory mapping, smart use of memcpy and contiguous memory. It also applies to GPU Compute, moving data to the GPU in a single memcpy. And it is now applying to the browser with the low-level capabilities of WebAssembly. We've been running performance tests to tune these techniques to build a next-gen data architecture for several years now. It can be difficult to see these benefits with scripting or user-friendly code like vectors of classes. But we're recently trying to get the best of both worlds where you can assemble bytes in Python (with our new row64tools API) and have Row64 display your database on a dashboard at extremely high speeds. https://lnkd.in/gnCsYMtf

Here at Row64 we’re on a quest to re-imagine the dashboard user experience and wanted input from the community. #QuestionForGroup