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X-Factor

The Digital Shift — Navigating Technology in Private Equity

Dec 5, 2024
Matt Thomas, a veteran executive with diverse C-suite experience in PE-backed firms across various sectors, shares his valuable insights on harnessing technology for business optimization. He discusses the challenges of ERP implementation, particularly moving from QuickBooks to SAP, and emphasizes the importance of selecting the right tools for operational effectiveness. Matt highlights the transformative potential of AI in private equity and advocates for collaboration between generations in the workplace to drive innovation and productivity.
29:03

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Podcast summary created with Snipd AI

Quick takeaways

  • Differentiating between science and engineering problems is essential for effective project planning and resource allocation in technology-driven businesses.
  • Success in private equity relies on aligning technology solutions with business needs, avoiding unnecessary complexity to enhance operational efficiency.

Deep dives

Distinguishing Science Problems from Engineering Problems

Differentiating between science problems and engineering problems is crucial in technology-driven businesses. Engineering problems tend to have defined paths to solutions, allowing for structured budgeting and scheduling, while science problems can have unpredictably lengthy resolution timelines. For example, a company's misclassification of a science problem as an engineering problem can lead to setbacks, as experienced at Applied Science Fiction. Understanding this distinction enables better project planning and resource allocation in companies, particularly in the context of private equity.

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