EP62: Marrying Data Silos for the Complete Picture episode artwork

EPISODE · Jun 12, 2024 · 7 MIN

EP62: Marrying Data Silos for the Complete Picture

from Success Beneath the Surface · host Deborah S. Fell

In today's commentary, we revisit my conversation with Joe Leo, CEO and founder of Def Method, from episode 61. Joe's company focuses on breaking down data silos to help businesses connect the dots and gain valuable insights. When data is stuck in silos, it can lead to people and mindset silos as well, causing friction and draining energy. However, by bringing data together, a shared understanding emerges, allowing diversity of thought to invigorate the organization. Joe shares how his company evolved to focus on the high-risk data engineering projects many businesses need and how they've been able to templatize and orchestrate solutions. He also discusses the impact of AI on their work. To hear more, let's dive into the key parts of our discussion in this episode, “Marrying Data Silos for the Complete Picture.” Links from this episode: Joe Leo on LinkedIn Def Method's website Deborah Fell on LinkedIn Chief Outsiders About Def Method: Def Method is a boutique consultancy with deep expertise in data science, data engineering, and custom software development. They are often brought in for executives' toughest data challenges. Their clients include giants like Citigroup, Dick's Sporting Goods, and the Museum of Modern Art down to smaller start-ups still getting their name on the map. They empower businesses of all sizes—from startups to major enterprises—to navigate the complexities of modern software development and achieve digital transformation. Their standout product, Def Method Powerhouse, helps companies harness their data with powerful tools and knowledgeable support. Powerhouse makes it easy for non-technical business users to glean insights from their data and communicate these insights to others.

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When data is stuck in silos, it can lead to people and mindset silos as well, causing friction and draining energy. However, by bringing data together, a shared understanding emerges that allows diversity of thought to invigorate the organization.

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