Beyond Excel: How Data Intelligence Drives Revenue & Innovation

📅 Date: November 22

📍 Location: Georgia Tech John Lewis Student Center (Cypress Theater)

Join us for an inspiring afternoon of learning, networking, and collaboration designed for professionals, students, and the simply curious. You don’t have to be a data analyst, just bring your curiosity and passion to grow.

• Hear from Industry Experts: Learn directly from professionals using data to drive innovation, automation, and smarter decisions across tech and business.
• Gain Practical Insights: Walk away with actionable ideas you can apply immediately, whether you're in tech, business, or just exploring data.
• Explore Career & Partnership Opportunities: Discover real job leads, collaborations, and business connections waiting to happen.
• Engage in Live Brainstorming: Join dynamic sessions that turn ideas into impact, collaborate with other ambitious minds.
• Win Prizes & Make Connections: Participate in raffles, open Q&A, and vibrant discussions that spark long-term relationships.
• Be Part of a Movement: Connect with Atlanta’s brightest minds shaping the future of data and technology.

Be prepared to leave with new insights, new opportunities, and new connections that last.

Visit Born Rising Achievers for more information about events like these, and join our mission of making Data Analytics skills available to underserved communities.

Info: - Welcome and event overview

- Panel introductions

Info: We’ll hear from our panelists as they discuss how data shapes decision-making at the organizational level and explore the critical role of data in driving innovation, improving efficiency, and increasing revenue.

Info: - Current data challenges facing businesses

- Group Solutions (15 minutes) - Tackle real data challenges and discussions with peers

- Group Presentations (15 minutes) - 4 groups × 3-4 minutes each

Info: - The untapped talent goldmine

- Program success stories

- Partnership opportunities for employers

Info: - Structured networking around data opportunities

- Employer-talent connections

- Partnership discussions

- Closing remarks and next steps

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