The 9 Archetypes of dataMinds Connect
Who do you recognize?
At this year's dataMinds Connect, we embarked on an exciting journey to capture the diverse personas attending the event. Using the power of AI, we analyzed more than 200 unique visitor profiles through a combination of technologies.
After analyzing the results, we’ve identified 9 unique archetypes that define the attendees of dataMinds Connect. Each archetype tells a different story about the type of individuals who are drawn to this vibrant data community. Dive in and discover which archetype resonates with you!
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Join our communityThe 9 Archetypes in detail
Check out the prompt used to generate each of these profiles.
- The Data Pioneer
Profile: Early adopters who love to explore cutting-edge technologies like Azure Databricks, Real-Time Intelligence, and Microsoft Fabric.
Interests: Talks on data engineering, real-time processing, and innovations in AI and machine learning.
- The BI Enthusiast
Profile: Passionate about creating insightful and visually stunning reports using Power BI and other BI tools, this group is focused on dashboard design, user adoption, and data visualization.
Interests: Power BI, visualization best practices, and user-focused dashboard creation.
- The Technical Problem Solver
Profile: Advanced professionals who enjoy diving into complex technical issues, resolving inefficiencies, and optimizing database or data platform performance.
Interests: SQL Server, data optimization, and performance tuning.
- The AI and Innovation Explorer
Profile: Always curious about how AI can transform businesses and the world, they are focused on integrating AI technologies into data workflows.
Interests: Generative AI, machine learning, and the latest developments in AI-driven data solutions.
- The Visual Storyteller
Profile: Designers and data visualization specialists who are passionate about crafting narratives through data, focusing on aesthetics and clarity.
Interests: Data visualization tools, storytelling with data, and creating user-friendly data interfaces.
- The Booth Staff
Profile: Representing companies or organizations, these attendees are there to network, promote their services or products, and engage with potential clients or partners. They're less focused on attending sessions and more interested in networking opportunities and gathering industry insights.
Interests: Networking, staying updated on the latest trends to better pitch their products, and engaging with event visitors.
- The Data Analyst in Transition
Profile: Mid-level data professionals transitioning from traditional analytics roles to more technical or engineering-oriented positions.
Interests: SQL, data modeling, and bridging the gap between business analytics and data engineering.
- The Data Recruiter
Profile: Recruiters from companies or recruitment agencies looking to scout talent in the data field. They are more focused on identifying skilled professionals and understanding emerging trends that could help in workforce planning.
Interests: Engaging with data professionals, to identify key skills, and learning about the latest tools and technologies in demand.
- The Data Governance Guru
Profile: Highly interested in data governance, security, and compliance, these attendees are concerned with the accuracy, privacy, and regulation of data.
Interests: Data governance tools like Microsoft Purview and effective data governance strategies.
Here’s how we did it
- User Input: It all started with a simple input — the visitor's name.
- Google Search: Our system scoured the web using Google search to gather public information on the individual.
- Web Scraping: From there, we scraped and combined the HTML of the top 10 search results.
- AI Description: Leveraging the power of GPT-4o, we generated a detailed description of the person based on this information.
- Personalized Image: Using Azure Communication Service, we sent each attendee a generative AI image of themselves created by DALL·E 3, based on the descriptions from GPT-4o.
- Combining the prompts: We identified the 9 achetypes by feeding the information into GPT-4o.