Charts, dashboards, and other visual opportunities to enhance your data.
Can you ask Claude to build a Flexmonster pivot table without creating a project, installing npm packages, or even opening an editor? The answer is yes, and it takes just a few prompts to create a pivot table as a Claude artifact.
We build Flexmonster and constantly improve it based on customer feedback and on what we’ve learned from years of working with data. So instead of a generic feature tour, we asked the developers on our team a simpler question: which Flexmonster features do you actually reach for when you need to make sense of data, and what are the small, non-obvious tricks you rely on that most users never notice? Here's what they told us, in their own words.
The audit field is changing fast, auditors today work with far more information than they used to. This data overload slows traditional manual analysis, and the need for new tools grows.
The pivot table feature in Excel has long been helpful for summarizing and exploring data. However, as datasets become larger, such standard tools often fall short, highlighting the need for more flexible solutions. At the same time, Excel remains the primary tool for many auditors.
Nowadays, data is an important part of almost every decision-making process: from industrial production planning to financial market analysis. Companies are no longer just collecting data; they are expected to analyze it in real time, detect trends early, and react quickly to changes. As datasets grow larger and more complex, people need a powerful solution, and here comes Flexmonster.
It's no secret that Svelte has been generating considerable buzz, and our clients have been eager to know if we planned to offer integration. You asked, and we did! We're incredibly excited to share that Flexmonster now provides full integration with Svelte.
For those new to this innovative framework, let's first explore what Svelte is all about and the key factors that have propelled it to such prominence.
Raw data can often feel like a maze—difficult to navigate and even harder to analyze to get useful information. That's where interactive dashboard come in. They turn all that complicated data into simple visuals that are easy to look at and explore, making it much quicker to notice some trends and patterns.
In this tutorial, we’ll guide you through creating an interactive map dashboard using Flexmonster Pivot Table and amCharts.
Flexmonster Pivot Table & Charts is a feature-packed reporting component. However, we do not limit the opportunity to customize and implement specific features. Flexmonster has enough flexibility to support your application’s logic and adapt to how it works. So you can extend the functionality and user interface the way you need.
Previously we listed few useful tips on collecting small data. Data cleaning is what typically goes next. Thus, today we are going to emphasise four crucial ideas which can help you save valuable time, avoid headaches and conduct qualitative data analysis.
In our last blog, we presented a data definition framework. Among all data categories from internal and external sources, human generated data may be crucial for a company. Also, even in the era of Big Data spreadsheets are still very commonly used in small companies and corporations. In other words, there are millions of people collecting and working with the small data type of data which can be easily fitted in an Excel spreadsheet.
The best way to understand large data quantities is to visualize them. Luckily, we have a lot of instruments to do that.
Flexmonster Pivot helps to represent your data grouped in a stylish grid with all the aggregations, sorting, and filtering that has been done before. It also has pivot charts to display this data even more clearly or visually highlight the core.
