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The Big Data Analytics for Procurement Decision-Making course in Jakarta is a specialized training course designed for procurement professionals seeking to enhance their decision-making through data-driven insights.

Jakarta

Fees: 9900
From: 23-03-2026
To: 03-04-2026

Jakarta

Fees: 9900
From: 06-07-2026
To: 17-07-2026

Big Data Analytics for Procurement Decision-Making

Course Overview

Procurement decisions increasingly depend on the ability to analyze vast amounts of data. Big data analytics enables organizations to identify trends, optimize sourcing, manage supplier risks, and negotiate effectively. By embedding data-driven practices, procurement becomes a strategic driver of business value.

This course covers data analytics frameworks, supplier performance monitoring, predictive modeling, cost analysis, risk management, and global procurement best practices. Participants will gain practical skills to transform procurement processes using big data tools and insights.

At EuroQuest International Training, the course integrates case studies, data-driven simulations, and hands-on workshops to prepare leaders for smarter procurement decision-making.

Key Benefits of Attending

  • Master big data analytics frameworks for procurement

  • Strengthen supplier performance monitoring and evaluation

  • Apply predictive analytics to sourcing and procurement risks

  • Optimize costs through advanced data-driven insights

  • Align procurement strategies with organizational goals

Why Attend

This course empowers leaders to transform procurement into a data-driven function, enabling smarter decisions, risk mitigation, and improved supplier collaboration.

Course Methodology

  • Expert-led lectures on big data and procurement strategies

  • Case studies of analytics in supply chain decision-making

  • Workshops on procurement dashboards and KPIs

  • Simulations of data-driven sourcing decisions

  • Group projects on procurement analytics strategies

Course Objectives

By the end of this ten-day training course, participants will be able to:

  • Define the role of big data in procurement decision-making

  • Apply analytics frameworks for sourcing and supplier evaluation

  • Use predictive models for procurement risk management

  • Optimize procurement costs with advanced analytics

  • Strengthen negotiation strategies through data insights

  • Monitor supplier KPIs using dashboards and scorecards

  • Align procurement analytics with business strategy

  • Apply machine learning in procurement forecasting

  • Benchmark procurement analytics practices globally

  • Foster collaboration through data transparency

  • Mitigate risks in procurement using data-driven insights

  • Design long-term procurement intelligence strategies

Target Audience

  • Procurement and sourcing managers

  • Supply chain and operations leaders

  • Data analytics professionals in procurement

  • Senior executives overseeing procurement functions

  • Consultants in procurement and supply chain strategy

Target Competencies

  • Procurement analytics and intelligence

  • Predictive modeling and forecasting

  • Supplier evaluation and performance monitoring

  • Cost optimization strategies

  • Risk management in procurement

  • Negotiation through data insights

  • Global procurement benchmarking

Course Outline

Unit 1: Introduction to Big Data in Procurement

  • Role of analytics in procurement strategies

  • Key sources of procurement data

  • Case studies of data-driven procurement

  • Workshop on procurement data awareness

Unit 2: Data Analytics Frameworks for Procurement

  • Descriptive, predictive, and prescriptive analytics

  • Tools and technologies for procurement analytics

  • Building data-driven procurement processes

  • Simulation of framework applications

Unit 3: Supplier Performance Monitoring and Evaluation

  • KPIs for supplier performance

  • Scorecards and dashboards for supplier tracking

  • Identifying supplier risks and opportunities

  • Workshop on supplier evaluation

Unit 4: Predictive Analytics in Procurement

  • Using predictive models for demand forecasting

  • Identifying procurement risks through analytics

  • Predicting supplier performance trends

  • Practical exercise on predictive models

Unit 5: Cost Optimization Through Data Insights

  • Analyzing procurement spend data

  • Identifying cost-saving opportunities

  • Total cost of ownership analysis

  • Simulation of cost optimization

Unit 6: Negotiation and Sourcing with Analytics

  • Using data for negotiation leverage

  • Analytics in strategic sourcing decisions

  • Benchmarking supplier performance globally

  • Role-play on data-driven negotiation

Unit 7: Risk Management in Procurement

  • Identifying risks using big data

  • Building procurement risk mitigation frameworks

  • Case studies of procurement risk management

  • Group activity on risk analysis

Unit 8: Digital Tools for Procurement Analytics

  • Procurement dashboards and analytics platforms

  • AI and machine learning applications in procurement

  • Integrating procurement systems with analytics tools

  • Hands-on session with digital procurement tools

Unit 9: Data Governance and Procurement Compliance

  • Ensuring compliance in procurement analytics

  • Data quality and integrity issues

  • Governance frameworks for procurement data

  • Workshop on compliance practices

Unit 10: Aligning Procurement Analytics with Strategy

  • Linking analytics insights to business goals

  • Supporting organizational transformation with procurement data

  • Role of procurement analytics in value creation

  • Group case study on strategy alignment

Unit 11: Global Best Practices in Procurement Analytics

  • Lessons from leading global companies

  • Benchmarking procurement analytics practices

  • Adapting insights to local and regional contexts

  • Group discussion on best practices

Unit 12: Capstone Procurement Analytics Project

  • Group project on procurement analytics strategy

  • Designing supplier performance dashboards

  • Presenting procurement intelligence frameworks

  • Final roadmap for implementation

Closing Call to Action

Join this ten-day training course to master big data analytics for procurement decision-making, enabling you to optimize sourcing, reduce costs, and drive strategic value.

Big Data Analytics for Procurement Decision-Making

The Big Data Analytics for Procurement Decision-Making Training Courses in Jakarta provide professionals with the advanced analytical skills and data-driven methodologies needed to enhance strategic sourcing, supplier evaluation, and procurement performance. Designed for procurement managers, supply chain analysts, category leaders, and business strategists, these programs explore how big data empowers organizations to make smarter, faster, and more transparent decisions across the procurement lifecycle.

Participants gain a thorough understanding of how big data analytics transforms procurement by enabling accurate demand forecasting, spend analysis, supplier risk assessment, and market intelligence generation. The courses emphasize practical techniques for integrating large and complex datasets from internal and external sources, applying predictive models, and developing performance dashboards that support informed decision-making. Through hands-on exercises and case studies, attendees learn to identify patterns, uncover inefficiencies, and build data-driven strategies that optimize both cost and value.

These big data and procurement training programs in Jakarta focus on real-world applications, including AI-enhanced analytics, automated reporting, and scenario-based simulations that reflect modern procurement challenges. Participants explore how analytical insights support contract management, supplier segmentation, sustainability assessments, and long-term strategic planning. The curriculum blends quantitative skills with analytical thinking, equipping professionals to transform raw data into actionable procurement intelligence.

Attending these training courses in Jakarta provides a rich learning experience within one of Southeast Asia’s dynamic business and technology hubs. The city’s innovative environment enhances engagement with experts and peers who bring diverse industry perspectives. By completing this specialization, participants emerge capable of leveraging big data tools to strengthen procurement performance, improve risk visibility, and support evidence-based decision-making—ensuring their organizations remain competitive and resilient in today’s data-driven global supply chain landscape.