How to use Excel and IoT technology to improve e-commerce data visualization and supply chain management
In today’s digital era, data visualization has become an indispensable part of the e-commerce industry. It not only helps users intuitively understand complex data, but also provides strong support for corporate decision-making. Excel, as a powerful data processing software, is widely used in cross-border e-commerce data visualization work. In addition to Excel, there are a variety of online data visualization tools to choose from, such as ECharts, Dydata, Plotlyggplot2, Tableau, Raw, Infogram, etc.
Data visualization chart types and their applications
Charts reflecting development trends
Visual charts of trends can help show how things are changing over time. Common forms include column charts, line charts, and area charts. Column charts are suitable for comparing the size of different categories of data; line charts focus more on showing trends rather than absolute values; area charts can better reflect the changing trend of the total amount.
Graph reflecting proportional relationship
Pie charts, sunburst charts, and waterfall charts are very effective tools for showing the relationship between parts and the whole. Pie charts are suitable for displaying simple proportions; sunburst charts can reveal multi-level data structures in more depth; waterfall charts are suitable for breaking down the causes of numerical changes.
Graph reflecting correlation
Chart types such as scatter plots, bubble charts, heat maps, and word cloud charts can help analyze the correlation between variables. Among them, scatter plots are suitable for observing the relationship between two variables; bubble charts add a size variable; heat maps can be used to display user interests or activity hot spots; word cloud charts are often used for text data analysis.
Graph reflecting differences
A radar chart is a commonly used chart that displays data differences in multiple dimensions, and can clearly show the strengths and weaknesses of each aspect.
Charts reflecting spatial relationships
Map charts (such as geographical heat maps) can visually present geographical distribution characteristics.
Diagram reflecting workflow
The funnel chart is particularly suitable for displaying conversion rate issues in the process, and is of great significance for optimizing the e-commerce operation process.
Supply chain visualization required by the e-commerce industry
With the development of IoT technology, supply chain visualization has become possible. This covers not only demand-side, planning, intra-organizational and supply-side information transparency, but also the visualization of real-time, historical and future data.
Comprehensive visualization of the supply chain can not only help e-commerce companies make more accurate decisions, but also respond quickly when the supply chain encounters emergencies, reducing unnecessary losses. For example, by monitoring the status of each link in the supply chain in real time, companies can detect potential problems in time and take appropriate measures to solve them.
In short, whether using traditional tools like Excel or emerging IoT technologies, the purpose is to better understand and control various uncertainties in the e-commerce environment, thereby improving the competitiveness and response of enterprises. speed.