Executive Development Programme in Building a Data-Driven Procurement Function

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The Executive Development Programme in Building a Data-Driven Procurement Function is a certificate course designed to empower procurement professionals with the essential skills for career advancement. In today's data-driven world, procurement functions that leverage data analytics can gain a competitive edge, reduce costs, and improve supplier relationships.

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This course emphasizes the importance of data-driven decision-making and teaches learners how to implement data analytics strategies in their procurement functions. It covers key topics, including data management, spend analysis, predictive analytics, and supplier relationship management. With the growing demand for data-driven procurement professionals, this course provides learners with a unique opportunity to upskill and stay ahead in their careers. By completing this programme, learners will gain the confidence and expertise to lead data-driven procurement initiatives, optimize supply chain operations, and drive business growth.

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โ€ข Data-Driven Procurement Foundation: Understanding the importance of data in procurement, data sources, data quality assessment, data governance, and data management best practices.
โ€ข Data Analytics for Procurement: Identifying key performance indicators (KPIs), spend analysis, cost savings analysis, predictive analytics, and prescriptive analytics.
โ€ข Data Visualization Techniques: Data storytelling, data presentation, dashboard design, and visualization tools such as Power BI, Tableau, and QlikView.
โ€ข Supplier Relationship Management: Identifying strategic suppliers, supplier segmentation, supplier performance evaluation, risk management, and supplier development.
โ€ข Contract Lifecycle Management: Contract authoring, contract negotiation, contract execution, and contract administration.
โ€ข E-Sourcing and Auctions: Setting up e-sourcing events, reverse auctions, and supplier negotiations.
โ€ข Procurement Process Automation: Robotic process automation (RPA), artificial intelligence (AI), and machine learning (ML) in procurement, automating invoice processing, purchase order management, and three-way matching.
โ€ข Change Management and Adoption: Change management frameworks, stakeholder management, and overcoming resistance to change.
โ€ข Procurement Analytics and AI Strategy: Developing an AI strategy, use cases for AI in procurement, and ethical considerations in AI adoption.

่Œไธš้“่ทฏ

The above code displays a 3D pie chart presenting the UK job market trends for data-driven procurement function roles. The primary keyword-focused roles include Data Scientist, Business Intelligence Analyst, Data Analyst, Procurement Analyst, Machine Learning Engineer, and Data Engineer. The chart demonstrates the percentage of demand for each role, engaging the reader by visually representing the industry relevance of these positions. The chart's transparent background and responsive design ensure a clean, user-friendly experience that adapts to all screen sizes.

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็คบไพ‹่ฏไนฆ่ƒŒๆ™ฏ
EXECUTIVE DEVELOPMENT PROGRAMME IN BUILDING A DATA-DRIVEN PROCUREMENT FUNCTION
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
ๆŽˆไบˆๆ—ฅๆœŸ
05 May 2025
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