Biography

Wesley Warshawer is a supply chain and operations professional at Lam Research in San Jose, California. Before moving to Silicon Valley, he was a Fulbright Scholar in South Korea for two years, where he received a Masters in Global Economy and Strategy from Yonsei University in Seoul. He has spent significant time overseas, including 2 years in South Korea, 3+ months in India, 5+ months in China, and 6 weeks working at a semiconductor facility in the Philippines. Prior to his Master’s program, he worked as an Enterprise Resource Planning (ERP) Implementation Consultant and Project Manager. He traveled to engineering and manufacturing companies around the US to effectively streamline their supply chain and implement long-lasting IT solutions. He collaborated with the CEO, CFO, CIO, and other department heads to discuss their ERP system requirements based on their unique business needs. His job did not confine him to a particular department, but rather allowed him to follow all corporate processes. Wesley is APICS CPIM certified, a Lean Six Sigma Green Belt, PMP Certified, and Scrum Alliance CSM certified. He also volunteers on the board of the Association of Supply Chain Management (ASCM) Santa Clara Valley Chapter.

Description

Companies around the world are looking to build up their analytic capabilities as Big Data, AI, and Blockchain become the buzzwords of today. Analytics have become a prerequisite to a solid business, yet many organizations forget the fundamentals of building this team. Assembling the top talent of Big Data engineers is not enough to translate to actionable results. Technical expertise is essential but not sufficient to building up a team that will provide meaningful information that executives can use for decision-making. Softer skills like communication, project management, a continuous improvement mindset, and business acumen are also minimum requirements. Poaching top technical talent from competitors or top universities is just the first step—next you must build an organizational team around that talent that can utilize this skillset to solve business problems. Tech talent is just one piece of the puzzle; there are still other pieces that allow your analytics team to make an impact in your organization. These non-technical pieces may seem easy to develop, but in many cases they are even harder to build.