Charts, dashboards, and other visual opportunities to enhance your data.
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.
As the world becomes a more competitive place to live in and amounts of data are constantly increasing, it’s crucial to keep up with the newest trends in data visualization to convey its meaning and make it easier for a human brain to perceive.
Whereas tables and charts have to be interpreted and understood, a Heat Map tends to be a self-explanatory kind of visual storytelling. It embodies a 2D visualization with color as a 3rd dimension. You can visualize your data through variations in coloring which correspond to variance across multiple variables.
CSS gives us a lot of possibilities to change the look and feel of the component (read more in the Сustomizing appearance tutorial). But sometimes it is not enough. For example, what if we have a report with countries and want to make countries clickable (hyperlinks) and show additional details for each of them?
In the last blogs, we mostly focused on few universal aspects of business reporting. We discussed data visualisation and storytelling impact on perception and effectiveness of business reports. This time, in order to reach more concrete insights, we will concentrate more on marketing analytics.
