How large language models help solve the age-old issue of low adoption across organizations.
The Data Democratization Dream
For those who recognize the power of data-driven decisions in business, the “data dream” typically looks something like this: Plentiful, rich data with insights to unlock future success. A business intelligence or analytics platform to analyze the data. Employees of varied skill sets using data to glean insights and make decisions across multiple functions. An organization that is data-literate, data-efficient, and truly benefitting from data democratization.
So what is it that stands in the way of that info-utopia? If the data is there and the technology exists, what is preventing that widespread wildfire of adoption that data leaders dream of?
The Obstacles to Widespread Adoption
“The percentage of employees actively using BI/analytics tools is currently 25% on average.”
– Strategies for Driving Adoption and Usage with BI and Analytics Survey, BARC and Eckerson Group, March, 2022
A 25% adoption rate may be the start of data democratization, but it’s still a long way off from getting the majority of your organization to use a tool.
While business intelligence and analytics tools have taken big strides to cater to business users, they are still viewed as “something else to have to learn.” In an already busy workday where resources–people, time, budgets–are spread thin. Some of the most common challenges to adoption include:
- Technical Barriers
Employees who aren’t as skilled in data analysis may be uncomfortable with the perceived Excel mastery or SQL knowledge needed to use these tools. - Resource Limitations
Teams whose functions are not directly tied to analytics may hesitate to allocate valuable resources to learn and utilize BI and analytics tools. Instead, they lean on insights teams, data leaders, and analysts to provide insights when they can. - Staying Stuck
If a team is using a tool that isn’t 100% of what they need, the idea of migrating their data and learning a new tool is just too daunting to undertake. Usually, if the current solution is working “well enough” for now, the team hobbles on for as long as possible.
Utilizing the Power of ChatGPT to Analyze Data
With the launch of ChatGPT, a chatbot from OpenAI, users now have the ability to ask questions and have artificial intelligence parse through billions of data points in real-time to provide an answer within seconds. The underlying large language models used by ChatGPT–GPT-3, GPT-3.5-turbo, and GPT-4–have demonstrated huge advancements in using AI to understand and respond to natural language prompts.
At AnswerRocket, we saw the power of these large language models and saw the opportunity to pair them with our augmented analytics solution to create a first-of-its-kind, chat-based analytics experience.
Meet Max
Max is the latest offering of AnswerRocket that brings the power AI + Machine Learning and the ease of conversing with a chatbot together to offer users an AI assistant for data analysis.
- No Technical Barriers
Using Max is as easy as sending a text or instant message. Because Max requires no Excel skills, no SQL knowledge, and no analyst on-hand to get answers, the traditional obstacles to adoption are removed. Our hope is that instead of the traditional adoption rate of 30% for BI & analytics tools, Max will see closer to a 60% to 75% adoption rate in the organizations that utilize it.
Max leverages OpenAI’s large language models to understand user prompts and compose the answers that teams need quickly through conversational analytics. And just like a new coworker that you would onboard, Max can be trained to understand your preferences and objectives as you interact with it.
- No Additional Resources to Learn
Because using Max is as easy as speaking to a coworker, there’s no need to set aside days or weeks of training to users up to speed on how to use the platform. We’ve designed the experience to enable users to get started quickly, with sample questions and in-tool guidance. - Use the Data You’re Using Now
You can analyze the same data you’re already working with in the AnswerRocket platform. Leverage our data connectors to connect Max to your data warehouse or upload CSV files for analysis.
A tool like this would be much less intimidating, much less time-consuming, and much more widely used among teams.
A simplified, chat-based analytics experience can be the linchpin to a data analysis tool that organizations will actually willingly adopt.
The Future of Analytics is Here
By incorporating accessible technology that enables a ChatGPT-like user experience for analytics, data leaders will be that much closer to achieving true data democratization within their organizations.
Imagine the efficiency of multiple business teams, all over the world, operating on insights they’ve gleaned themselves from data that’s been underutilized for years? Mind blowing.
Being an early adopter of this technology could give your business a competitive edge in the marketplace.
We’d love to share Max with you and your team. Join the waitlist now.
