Role of Generative AI in Data Visualization

Generative AI is changing the way of doing things in most of the areas. Data Visualization and traditional BI are also not out of scope for GenAI. There are a lot of use cases where GenAI can play a vital role in Data Visualization and change the way traditional way of doing it.

Let us see a few of such use cases.

Data Augmentation:

Using GenAI you can increase the diversity and size of the dataset to improve the accuracy and robustness of visualizations and insights.

Anomaly Detection:

Anomaly Detection is very critical for Data Visualization to create the right pattern and distributions. GenAI can easily help to identify anomalies or outliers in the data. GenAI can easily trim down the manual effort behind it.

Data Imputation:

Impute missing values by learning from the existing data patterns and distributions helps to generate more complete visualizations, improving the overall quality of insights. Using GenAI you can easily achieve it.

Data Synthesis:

To explore hypothetical scenarios or simulate data for what-if analyses which can provide a broader understanding of potential outcomes and patterns in Data Visualization. Again, GenAI can easily do it for you.

Code Generation:

A natural language interface for code generation helps reduce the efforts of BI developers in writing complex code/functions. Example - You can easily create your required DAX query of Power BI from ChatGPT or BART.

Data Discovery and Insights:

A natural language interface for data exploration and analysis can enable users to have more intuitive interactions with their data using GenAI.

Metadata Analysis:

Every BI environment has its own metadata/Audit data. To Govern the BI environment, analyze report usage, data lineage and metadata with NLQ helps identify obsolete, duplicate reports, and unused reports and augments the report rationalization.

Storytelling and Narratives:

Storytelling in Data Visualization is very important. GenAI automatically can generate textual descriptions, captions, or explanations for visualizations to make it more informative and engaging for users.

Automatic Creation of Data Visualization:

There are many tools based on GPT that actually can create your dashboard automatically if you supply the right data with the right prompt. This is a real game-changer.

There are many more cases where you can use GenAI during Data visualization. In my other article, I wrote about how BI tools like ThoughtSpot already added ChatGPT to their engine. ?Generative AI is changing the way we do business and the way we work. Adapting it fast is the need of the hour.