This is an unmissable conversation packed with innovative perspectives where Aaron Phethean and Bethany Lyons dive into the intricate world of what “full stack” genuinely means in the data realm. Armed with facts and humor, they explore the vital role of trust, and the complexities of data reconciliation. Their discussion also ventures into the dynamic startup landscape, stressing the urgent need for creative solutions to the persistent challenges in data management and analytics that so many face. With their fresh insights, this conversation is a must for anyone looking to understand the future of the industry.TakeawaysBe a full stack data person to have a bigger impact.Data is a digital twin of real-world processes.Understanding data representation is crucial for business insights.99% of data work involves plumbing, not just visualization.Trust in data is essential for effective decision-making.Reconciliation of data is a complex and painful process.Startups must solve specific problems for individual users.Data analytics is not an assembly line; it's iterative.The future of data solutions lies in addressing unsolved problems.Navigating the startup landscape requires understanding customer needs.TitlesData: An Unsolved ProblemInnovating in the Data SpaceSound Bites"Be a full stack data person.""Data is just a digital twin of the process.""How do we enrich the data?"Chapters00:00Introduction00:34Introduction and Background03:31Sales Dynamics in Startups06:25The Importance of Trust in Data09:39Challenges in Reconciliation12:32Navigating Startup Challenges14:44Understanding Data Challenges in Organizations17:46The Importance of Data Representation20:37Navigating Data Complexity in Business23:39The Role of Data Teams in Organizations26:46Shadow IT and Data Solutions30:04Broadening the Data Skillset31:03The Concept of Full Stack Data Professionals

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