Design BI Dashboards Using AI and Single Web Page in Minutes
Did you know that you can transform complex, static data into fully interactive executive insights in just a few steps?
Whether you are looking to develop a high-scale corporate project or seeking to empower your leadership with real-time decision-making tools, the right BI infrastructure makes all the difference.
This project showcases the development of a high-end Executive Market Dashboard engineered within the Nucleon BI Studio ecosystem. The objective was to create a seamless bridge between raw data structures and strategic decision-making layers through advanced data visualization and dynamic filtering.
Accelerating Development: My AI-Assisted Workflow
Building a sophisticated dashboard usually requires hours of coding, specifically when dealing with responsive CSS and complex JavaScript logic. For this project, I utilized Generative AI as a technical co-pilot to accelerate the development cycle within Nucleon BI Studio.
Here is an inside look at the prompt engineering strategy I used to generate the core architecture:
Step 1: Creating the Single Web Page ( SPA)
Provide your database structure and ask the AI to generate a clean, executive-level Single Page Application (SPA) that includes HTML, JavaScript, and data, all in one page.
Step 2: Binding the Data
After creating an SPA page, you need to bind data from your sources to the page. You can bind the data as follows:
const marketDataArray =
[
<DataPrint PFormat="Custom" DataSet="MainDataSet" Table="Market_Trend_External">
{
label: "{Field="Date"}", // original display label
price: {Field="Close_Price"}, // number
volume: {Field="Volume"}, // number
ret: {Field="Daily_Return_Pct"}, // number (Return %)
vola: {Field="Volatility_Range"} // number (Volatility)
},
</DataPrint>
];
The most critical requirement was the Dynamic Date Filter. Since Nucleon BI Studio handles the data binding, I needed a JavaScript layer to parse that data and filter it on the client side without refreshing the page.
Step 3: Refinement & Error Handling
To ensure the dashboard was production-ready, I focused on robustness—handling edge cases like missing data or invalid date formats.
The Takeaway
By precisely describing the context (Nucleon BI Studio), the desired outcome (Executive Dashboard), and the logic (Client-side filtering), I was able to move from concept to a fully functional prototype in a fraction of the standard development time.It breaks down your workflow into a “Prompt Engineering Strategy” format, which is very popular in tech blogging right now.
DOWNLOAD
https://nucleonsoftware.com/store/MarketTrendExternal.zip
Sample Dashboards
