Although artificial intelligence (AI) has revolutionised many areas, there's one field where it still stumbles: turning data into understandable visuals. At first glance, it seems like a solved task. But behind every visualisation lies a deeper, still unresolved challenge: how to distil complex analytical processes into a single, clear, and effective instruction?
That’s where things get complicated. What’s more, leveraging the vast universe of available data to generate quality leads remains an added challenge, often hindered by a lack of agile and efficient tools. That’s why a smarter and more flexible approach is needed.
Enter Data Formulator: an open-source research project by Microsoft that integrates a user interface with natural language to support the iterative creation of visualisations—allowing users to extract valuable insights and accelerate lead generation. This tool presents an effective solution to transform data into business opportunities with less effort and greater accuracy.
What does Data Formulator offer and why is it effective for lead generation?
With Data Formulator, data analysts can create charts from scratch or select existing designs through data threads. The user interface includes a panel called the “Concept Coding Shelf”, where users can build their charts by dragging and defining various data fields or creating new ones. A large language model (LLM) in the backend processes this information and generates the code needed to produce the image and update data threads for future use.
This functionality is particularly relevant for marketing and lead generation, as it enables the quick transformation of large volumes of data into clear visuals that identify behavioural patterns, preferences, and conversion opportunities. With a tool that streamlines this process, marketing teams can make better decisions, segment audiences more precisely, and optimise campaigns to capture higher-quality leads with less time and effort.
Additionally, data threads allow users to review and modify previously created charts. This iterative process speeds up editing and refinement, as the LLM adapts previous code to new contexts. Without this feature, users would need to provide more detailed instructions to recreate designs from scratch. This iterative mechanism also allows users to continue updating their charts until they’re satisfied.
This approach is especially beneficial for lead generation, as it facilitates the ongoing adaptation of charts to new market data or user behaviours. As a result, marketing teams can adjust their strategies in real time, identify emerging opportunities, and improve the accuracy of targeted messages.
Generate more quality leads with Data Formulator
Data Formulator is the solution companies need to enhance lead generation by refining the interaction between users and AI through a combination of user interface and natural language input, making it easier to define precise visualisations and reduce misunderstandings.
Thanks to this solution, companies can adjust and optimise their visuals in line with changing contexts and detect relevant patterns and business opportunities more swiftl- boosting their ability to capture higher-quality leads.
Would you like to start using AI solutions to achieve high-quality lead generation? At PGR Marketing and Technologia, we’ll guide you through the entire process to help you succeed with ease.
