Masterclass Certificate in Product Lifecycle Management: Data-Driven Decisions

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The Masterclass Certificate in Product Lifecycle Management: Data-Driven Decisions is a comprehensive course designed to equip learners with essential skills for career advancement in product management. This course focuses on the importance of data-driven decision-making in product lifecycle management (PLM), a critical aspect of modern business strategy.

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In this era of big data, the ability to leverage data for informed decision-making is increasingly vital. This course provides learners with the tools and techniques to collect, analyze, and interpret data to optimize product lifecycle management. The course covers the entire product lifecycle, from conception to retirement, providing learners with a holistic understanding of PLM. It is designed to meet the growing industry demand for professionals who can combine technical expertise with business acumen and data analysis skills. By the end of this course, learners will be able to make informed, data-driven decisions, leading to improved product performance, reduced costs, and increased customer satisfaction. This will not only enhance their career prospects but also contribute to the success of their organization.

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โ€ข Product Lifecycle Management (PLM) Fundamentals
โ€ข Data Collection and Analysis in PLM
โ€ข Data-Driven Decision Making in Product Development
โ€ข PLM Analytics: Metrics, KPIs, and Reporting
โ€ข Leveraging Data in Product Launch and Commercialization Strategies
โ€ข Data-Driven Maintenance, Repair, and Overhaul (MRO) Decisions
โ€ข End-of-Life (EOL) Planning and Data-Driven Decisions
โ€ข Change Management and Data-Driven Decisions in PLM
โ€ข Data Security and Privacy in PLM Analytics
โ€ข Real-World Case Studies of Data-Driven PLM Successes

่Œไธš้“่ทฏ

In the ever-evolving world of Product Lifecycle Management (PLM) in the UK, it's essential to understand the current job market trends and skill demands to make data-driven decisions for your career. Here's a 3D pie chart revealing the distribution of popular roles in PLM: - **Product Manager**: A product manager is responsible for guiding the success of a product and leading the cross-functional team that is responsible for improving it. In the PLM industry, a product manager's role involves overseeing the entire product development lifecycle. (35%) - **Data Analyst**: A data analyst collects, processes, and performs statistical analyses of data. In PLM, data analysts work closely with various teams to provide actionable insights to improve products, optimize processes, and make informed decisions. (25%) - **Software Developer**: Software developers are responsible for designing, coding, and debugging programs that satisfy user requirements. They play a crucial role in PLM by creating tailored software solutions for managing product data and workflows. (20%) - **Quality Assurance Engineer**: Quality assurance engineers work to ensure that products meet specifications and satisfy customer requirements. In PLM, they focus on testing product data, workflows, and software applications. (10%) - **Technical Writer**: Technical writers create product documentation that helps users understand how to use and implement PLM software and systems. They develop user guides, online help, and manuals to assist with product implementation and adoption. (10%) By understanding these roles' significance in the PLM industry, you can align your skills with the current trends and make informed decisions about your career path.

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MASTERCLASS CERTIFICATE IN PRODUCT LIFECYCLE MANAGEMENT: DATA-DRIVEN DECISIONS
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London School of International Business (LSIB)
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05 May 2025
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