A single map shows one view of the world. Bringing different datasets together can reveal a much richer picture. Geographic analysis becomes more useful when information from different sources can be explored in the same place. A location rarely tells the whole story on its own; the surrounding data can provide the context needed to understand what is happening and where to look next. ChartFactor's Interactive Multi-Layer Geo Maps allow teams to work across multiple data sour

Building dashboards is becoming easier than ever. But delivering a powerful analytical experience inside a software product is a different challenge entirely. For SaaS platforms and data applications, analytics shouldn't have to be a separate destination. It can be an integral part of the user experience, helping people understand information and take action without leaving the application they already use. That’s why ChartFactor enables software teams to embed rich, interact

AI-powered analytics doesn't have to mean putting your entire dataset into an AI model. ChartFactor Studio Assistant takes a different approach. Rather than requiring all of the underlying data to fit within an AI model's context window, it interacts with ChartFactor Studio much like a user would-using the application's analytical capabilities and querying the underlying data engine when needed. That distinction becomes particularly important as datasets grow. Because the dat

One layer gives you a view. Multiple layers give you context. ChartFactor’s Interactive Multi-Layer Geo Maps allow teams to bring geographic information together from different data sources and data engines within the same analytical experience. Instead of treating each dataset as a separate view, multiple layers can be explored together, making it easier to identify relationships, compare patterns, and add context to what is happening in a particular location. This flexibili

Data becomes much more interesting when you can see how it changes. ChartFactor’s NCHS Drug Poisoning Mortality by County application turns a large public health dataset into an interactive way to explore mortality rates across the United States. A time slider allows users to replay changes over the years, while the map makes it possible to see how patterns vary from county to county. Users can also open a trend chart to compare individual county trends, or switch to a heat m

As data grows, the ability to explore it flexibly becomes just as important as the data itself. ChartFactor Studio's Pivot Table V2 is designed to support that kind of exploration. Built for massive datasets (currently for Google BigQuery), it allows users to move seamlessly between dimensions through intuitive drag-and-drop interactions while maintaining strong performance at scale. Features such as custom handling of null values, visual themes, and one-click full-screen mod

“We don't see things as they are, we see them as we are.” - Anaïs Nin One of the most valuable outcomes of analytics is the ability to challenge assumptions and see information from a different perspective. As organisations collect increasing volumes of data it becomes increasingly important for them to have access to tools that will help them decipher and understand it. The most useful insights often emerge when users can explore data freely, uncover relationships, and view

The usefulness of analytics often comes down to how quickly users can move from raw data to meaningful exploration without unnecessary setup or workflow friction slowing things down. ChartFactor Studio is designed to make that process more flexible and approachable from the start. Users can build interactive dashboards using a wide range of visualizations, create reusable custom queries, and explore data dynamically while still maintaining clear control over how information i

Seeing where something happens often changes how you interpret what is happening - and what action to take next. ChartFactor Geo is built to make spatial analysis both intuitive and scalable. As users move between high-level views and detailed local perspectives, visualizations remain responsive, helping patterns emerge without overwhelming the interface. A key advantage is the ability to work with multi-layer geo maps, combining data from different sources and engines into a

Sometimes the best way to understand a dataset is to explore it geographically and interact with it in real time rather than looking at static charts or reports. That’s one of the core ideas behind the ChartFactor’s Airbnb analytics application. Built using public InsideAirbnb data, the app allows users to explore listings through a fully interactive geo experience - comparing entire homes vs. private rooms, higher-activity vs. lower-activity listings, pricing trends, estimat

As data products evolve, expectations move beyond simple dashboards toward deeper, more flexible analysis. ChartFactor supports this shift through capabilities designed for both scale and usability. Pivot Table V2 allows teams to work with large datasets while maintaining interactivity, supporting flexible exploration, more advanced data manipulation, and a more fluid way of moving between different levels of detail within the same dataset. At the same time, multi-layer geo m

Strong analytics platforms remove friction long before insights are delivered. ChartFactor Studio continues to streamline how users connect to and explore their data, with optimized Text Search delivering faster and more responsive results across large datasets. Whether narrowing down records or refining queries step by step, search now feels more immediate, helping users move from question to answer with less effort. Studio also improves authentication and connection workflo

When working with live data, even small improvements in interaction can significantly accelerate the path to insight. ChartFactor Studio’s latest Raw Data Table enhancements are designed to make exploration more direct and intuitive. Users can now filter directly from selected cells, turning a simple interaction into an immediate analytical step and reducing the time spent navigating menus or building manual filters. Copy-and-paste support also makes it easier to extract and

“Excellence is a habit.” - Will Durrant In analytics platforms, excellence rarely comes from one dramatic release. It comes from steady refinement - improving how people filter, search, connect, and explore data every day. Recent updates in ChartFactor Studio reflect that mindset. Filtering directly from selected cells makes exploration faster and more intuitive. Copy-and-paste support simplifies collaboration and validation. Search responsiveness has been enhanced for large

Geo analytics becomes truly valuable when interaction remains smooth - even as datasets expand dramatically. ChartFactor Geo supports interactive, client-side map visualisations that stay responsive as users zoom, filter, and refine their perspective. As views shift from broad regions to detailed local insights, spatial precision adapts naturally, helping users uncover patterns without overwhelming the interface. Support for partitioned and clustered datasets - including geoh

Data exploration often begins with a search - and the faster that search responds, the faster better decisions can follow. ChartFactor Studio’s Text Search component has been optimized to deliver quicker, more responsive results, particularly when handling large volumes of data. Whether narrowing down records or refining queries step by step, search now feels sharper and more immediate, supporting a smoother analytical workflow. Studio also provides an improved authentication

When you’re working with live data, speed shapes how you think - and how confidently you explore. ChartFactor Studio’s latest Raw Data Table improvements are designed to make interaction more natural and immediate. Users can now filter directly from selected cells, turning a simple click into an instant analytical pathway without stepping away from the flow of exploration. It reduces the distance between question and answer, helping teams iterate faster as they refine their t

Hospital pricing is public. But until now, it hasn’t been usable. Today, we’re proud to present HPTC (Health Price Transparency Companion) - an application designed to make hospital MRF (Machine Readable File) data accessible, searchable, and actionable. Every hospital in the U.S. publishes massive pricing files in JSON and CSV formats. While technically transparent, these files are often complex, inconsistent, and difficult to analyze without specialized tools. That’s where

“Good design is as little design as possible.” - Dieter Rams The best analytics systems don’t draw attention to themselves. They simply work; adapting as products grow, data scales, and user needs change. ChartFactor is built around that principle. Its architecture avoids unnecessary layers, keeps execution close to the browser, and exposes behaviour clearly to developers. The goal isn’t to abstract everything away, it’s to keep analytics understandable, adaptable, and durabl

When analytics are bolted onto a product, they tend to age badly. Updates become risky, performance tuning turns painful and customisation can feel constrained. ChartFactor takes a different approach. Its modular components embed directly into your product UI, with browser-based execution and full code transparency. Teams retain control over behaviour, interaction, and performance, without taking on any unnecessary backend complexity. Recent Toolkit updates reinforce this pro