Sekou Tyler
I turn data into stories, one chart at a time
Nashville, Tennessee, United States
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Sekou Tyler is a self-proclaimed “data geek”: a computer aficionado who combines the scientific elements of data analysis with the narrative properties of data visualization. His degrees and extensive certifications have allowed him to use his version of data storytelling in multiple industries. Sekou is fascinated by the learning process; he actively seeks out ways to improve his skill set and utilizes different tools to display actionable data to ultimately empower people to make better data-driven decisions. Aside from all things data, Sekou enjoys speaking, mentoring, and reading. He is a Tennessee Titans and LA Lakers fan, but most of all he’s happiest spending time with his wife and daughter and hanging out with friends and family.
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The Art of Big Data Storytelling
Big data holds immense potential, but its value is only unlocked when it tells a compelling story. This session, The Art of Big Data Storytelling, will guide attendees through the journey of transforming raw data into actionable insights. We’ll explore foundational concepts such as the Medallion Architecture, Microsoft Fabric's role in streamlining data pipelines, and the essentials of managing stakeholder expectations. Attendees will learn how to bridge technical data analysis with strategic communication by leveraging a robust data storytelling methodology. This session is tailored for data professionals eager to combine technical expertise with narrative techniques to deliver impactful insights.
Key Takeaways:
Understanding Big Data: Simplify complex data concepts, including the Medallion Architecture, and their real-world applications.
Leveraging Microsoft Fabric: Demonstrate how Microsoft Fabric integrates and optimizes the flow from raw data to business-ready insights.
Aligning with Stakeholders: Practical tips to identify and address stakeholder needs effectively during the analytics lifecycle.
Storytelling Methodology: Learn a step-by-step approach to craft data narratives that engage and inform decision-makers.
Intended Audience:
Data analysts, business intelligence professionals, and leaders seeking to better understand how to present big data insights in a way that resonates with their audience and drives action.
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