In the field of business intelligence, a business dashboard is like a car dashboard. It displays various indicators through common charts such as speedometers, volume columns, early warning radars and radar balls, to reflect the running status of the enterprise in real time, thus helping managers make scientific decisions.
Tag: #Data Visualization
In short, data visualization is presenting structured or unstructured data graphically to present information hidden in the data directly to people.
Data maps are very intuitive and visual expressions in the process of business analysis. You can use maps to show sales and profits in various regions, or to display the distribution of warehouses all over the country to optimize transportation networks. As a professional application, the data map has a wide range of analytical uses.
This post covers 25 practical chart effects that can help you make advanced visualizations!
For data analysts, visualization is always a timeless study because it reveals to us the laws behind the data. This article is a guide to data visualization design. With good tools and right methods, beginners can also make cool visualizations.
Data analysts are often divided into two categories: business analysts and technical analysts. And their requirements for tools are quite different. This post summarizes the data analysis tools necessary for data analysts.
This article tells you 4 principles to pick the perfect color combination for your data visualization. The color scheme sets the tone of anything that you’ve created and each color serves to represent a unique piece of information. And FineReport has built in a lot of beautiful color schemes to allow users to choose.
This article also undertakes the previous article “Data Visualization Using FineReport ”. Unlike the previous one, this time most of the advanced charts are more suitable for practical applications, and are developed by our developers for use in FineReport.
In the second half of last year, FanRuan held a four-month plug-in development contest with a total prize pool of 300,000. It attracted more than 2,000 participants from all over the country to sign up, and a large number of very beautiful plug-ins emerged.After testing, it will also be launched on the FanRuan market (application center), which can be widely used in the report product FineReport!Today I will show you some beautiful plugins.
Doing a report to make a form, many people think of Excel in the first place. Excel as a personal office software is unique, but for commercial use, in fact, there is a slight lack of efficiency in office collaboration, however,FineReport can directly interact with the database (data export + data filling), can connect the data of each system, can be high Efficient batch report, display, interactive analysis, visualize large screens, and achieve office collaboration.
Recently, Fanruan and Huawei announced that they have completed the mutual authentication of the Fanruan data visualization software and the Huawei EI solution.It will help users to achieve rapid implementation ,visualize the results of data processing and build a powerful, comprehensive “management dashboard” .
On October 12, 2018, the “2018 Fanruan New Product Launch Conference and User Experience Day” kicked off in Shanghai. This event brought together nearly 800 enterprise IT technicians and data peers from all walks of life to gather together. With the theme of “FINE DAY”, the conference focused on the development direction of current big data. The main agenda of this conference is divided into three parts: first, the new product launch conference of FineReport 10.0 and FineBI 5.0, followed by the user’s benchmark speech and exhibition area exchange. Experience and so on.
Which data visualization tool do you recommend? That’s a tricky question to answer. In this article I will compare 14 best data visualization tools for you.
This article in data visualization includes three contents:Description, Chart data source and Define chart data. 1. Description If the chart data in business intelligencecan be directly extracted from dataset and chart’s seriesname is field name, chart series value corresponds to field value, we can define chart through data source of dataset-field name as SeriesValue Open…