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DataGPT aims to further democratize the use of data analytics across enterprises outside of the core data science, software engineering and business analytics team roles that might normally be the mainstay of this discipline and practice. The company is now expanding its scope by adding a library of connectors to external data intelligence and enterprise information management platforms including Google Analytics, Salesforce, Hubspot and Shopify. But how did we get here?

Beyond Big Data?

For the last decade, there’s been a predilection for labeling any gargantuan information source as a stream of “big data.” However, in recent years, many have argued for acceptance that almost all data is big and indeed web-scale, i.e., beyond the scope of a traditional relational database that once might have been tasked with the job of data wrangler.

With the big data factor now an assumed part of the global information substrate, the conversation has turned to focus on low-code data analytics,  generative AI-powered analytics and now conversational AI data analytics — the space where DataGPT operates.

Conversational Natural Language

First launched in October 2023, DataGPT Xpress now ships with a self-serve library of connectors for the above-noted third-party applications to help business users gain insights without managing manual exports or imports. 

The company’s self-hosted Large Language Model (LLM) has been created, hewn and trained to handle the nuanced ambiguities of human language. While conversational AI data analytics can employ a degree of speech input, the majority of tools in this area start with text to offer the freedom of Natural Language Understanding (NLU)-level interpretation. 

This simplified input functionality enables non-technical staff, such as marketing professionals, sales staff and project managers, to engage with the technology. 

Data Democratization

“Launching DataGPT Xpress marks a milestone in our journey to democratize access to data. Google Analytics users will be the first to instantly connect and double-click on their GA data using our personal Conversational AI analyst,” said Arina Curtis, CEO of  DataGPT. “Built from the same technology as our enterprise DataGPT software, this new affordable offering lowers the barrier to entry and will soon include connectors for other popular third-party applications like Shopify, HubSpot, Salesforce etc.”

DataGPT Xpress self-serve capabilities allow business users to perform their own analysis, dynamically comparing campaigns and delivering contextually relevant analysis that leads to better results for specific business problems. Users can ask questions like, “Why did we see a drop in page views this week?” “What product categories are trending over the last month?” and “What channels are performing worse than the past quarter?”

Left Brain LLM, Right Brain Analytics

DataGPT’s conversational AI data analytics works by combining the creative, comprehension-rich side of an LLM (the right brain) with the logic and reasoning of advanced analytics techniques (the left brain), the company avers. 

While other data analytics abstraction tool vendors (ThoughtSpot comes to mind the fastest — and we can see this type of functionality emerging in the platform behemoths as well), DataGPT Xpress is perhaps fairly bullish about its work in this space. The company is offering a two-week free trial to entice new users into the fold.