Course Overview

In order to maximize value and improve operations, procurement analytics is the practice of using quantitative and analytical methods to extract useful insights from a vast pool of procurement data.

Why is data analytics crucial in the procurement process?

The gathering of procurement data from many sources, classification of the data based on predefined or user-defined features, and presentation of the data in an easily understood visual style constitute the process of procurement analytics.

What is the buying procedure?

During procurement analytics, some crucial decision-making processes fall short of producing the desired outcomes. This is a result of a lack of systems and tools for performing these analytics. Many businesses struggle to collect and analyses this data. The benefits of procurement analytics encompass all facets of the source-to-pay (S2P) process and go well beyond spending. The variety of data that is available to support business choices at all levels is being noticed by businesses. You can control risk and assess your vendors’ performance with the aid of procurement analytics.

Participants will have comprehensive knowledge of procurement analytics and be able to comprehend overall performance from an operational, transactional, and supplier standpoint after taking this Zoe training course. Additionally, after completing this course, you will have the knowledge and skills necessary to work in any area of procurement analytics, opening up more chances for professional advancement.

Introduction

We’re glad you’re here, Procurement Analytics! We’ll set out on a trip in this course that will arm you with the information and resources you need to leverage the potential of data and analytics in the procurement industry. You’re about to embark on a transformative learning experience that will help you learn everything from the fundamentals to how to make decisions that promote organizational success.

The job of procurement has advanced beyond conventional practices in a time when data is king. Data science and procurement strategies come together in procurement analytics, which offers a flexible method for increasing productivity, cutting costs, and improving supplier relationships. You will not only understand the principles through this course, but you will also acquire practical abilities to use data-driven insights for strategic decision-making.

We are The Training Bee, a global training and education firm providing services in many countries. We are specialized in capacity building and talent development solutions for individuals and organizations, with our highly customized programs and training sessions.

Learning Objectives

Upon completing Procurement Analytics Course, participants will be able to:

• Recognize the importance of and effects of analytics on the procurement process.
• Understand the difficulties encountered during the procurement process and how analytics may aid in improving decisions.
• Review a number of techniques and tools for procurement analytics.
• Create cost models to evaluate the supplier pricing’s competitiveness.
• Utilize the sophisticated decision-making tools in Microsoft Excel for your analysis of procurement
• Incorporate target pricing models into your negotiation strategy.
• Recognize the different statistical methods used in procurement analytics.

Our Unique Training Methodology

This interactive course comprises the following training methods:

• Journaling – This consists of setting a timer and letting your thoughts flow, unedited and unscripted recording events, ideas, and thoughts over a while, related to the topic.
• Social learning – Information and expertise exchanged amongst peers via computer-based technologies and interactive conversations includingBlogging, instant messaging, and forums for debate in groups.
• Project-based learning
• Mind mapping and brainstorming – A session will be carried out between participants to uncover unique ideas, thoughts, and opinions having a quality discussion.
• Interactive sessions – The course will use informative lectures to introduce key concepts and theories related to the topic.
• Presentations – Participants will be presented with multimedia tools such as videos and graphics to enhance learning. These will be delivered engagingly and interactively.

Pre-course assessment

Before you enroll in this course all we wanted to know is your exact mindset and your way of thinking. For that, we have designed this questionnaire attached below.

• Give your own definition of procurement analytics.
• What is the major reason a company would use procurement analytics?
• Distinguish between purchase and procurement.
• What part do supplier risk identification and mitigation in procurement analytics play?
• Describe the meaning of the term “supplier performance scorecards.” How may they be useful to a company?
• What distinguishes direct procurement expenses from indirect procurement costs? Give illustrations of each.
• Identify three technologies or software that is frequently used for procurement analytics. Explain one of them in brief.
• How does data visualization aid in making wise purchasing decisions?
• Describe briefly how procurement analytics can be used to apply machine learning.
• How might procurement analytics for cost forecasting help with financial planning and budgeting?

Course Outline

This Procurement Analytics Course covers the following topics for understanding the essentials of the Agile Workplace:

Module 1 – Procurement Analytics Overview

• Overview of procurement analytics in general
• Procurement analytics’ importance
• Data Foundations in Procurement
• The Data Challenge in Analytics for Procurement
• Developing understanding from Procurement Data
• Data on Procurement is categorized

Module 2 – Overview of Data Analytics

• Introduction to Data Analytics
• Analytical techniques and their connections
• Preparing Data Running Exploratory Data Analysis
• Basic Data Visualizations Techniques
• Constructing dashboards

Module 3 – Program Administration

• Tools and methods for tracking projects related to procurement
• Management of duties and activities related to procurement
• Things that have an impact on procurement projects
• For procurement initiatives, producing progress updates
• Performance risk identification for procurement initiatives
• Commercial trends

Module 4 – Performance Assessment

• Assessing and interpreting supplier performance data
• Assessing buyer workload, productivity, and the length of the procurement cycle
• Tools for management and evaluation
• Methods for analyzing data during performance reviews
• Recognizing performance risks in several dimensions
• The reduction of performance hazards.

Module 5 – Procurement analytics software

• Introduction to the various procurement analytics software
• Standard capabilities and features of analytics software
• Advanced analytical tools and BI tools
• Tools for strategic sourcing and procure-to-pay
• SAP Ariba introduction and case study
• GEP Smart’s introduction and a case study

Module 6 – Analytics for purchasing using Microsoft Excel

• Getting started with Microsoft Excel for procurement analytics
• A description of cost models
• The creation of cost models
• Evaluating supplier prices
• Developing supplier scorecards with a weighted average
• The use of macros in strategic purchasing

Module 7 – Analytics for purchasing using Microsoft Excel II

• Cost Analysis
• Creation of graphs to compare offers and monitor performance
• Data for purchase using pivot tables, functions, and subtotals
• Target Pricing Model Development
• Target costing models to enhance negotiating tactics
• Conditional formatting, filtering, and VLOOKUP

Module 8 – Analytical Statistics

• Detecting Central Tendency
• Indicators of Variance
• Skewness in the confidence interval
• By using Log Transformation, normalization

Module 9 – Analytical Statistics II

• Testing of hypotheses (one-tailed test)
• Testing of hypotheses (two-tailed test)
• Using predictive analytics while making decisions

Post-Course Assessment

Participants need to complete an assessment post-course completion so our mentors will get to know their understanding of the course. A mentor will also have interrogative conversations with participants and provide valuable feedback.

• Give a definition of procurement analytics and an illustration of how it can help a company.
• How do efficient procurement analytics influence strategic choices?
• Talk about the value of high-quality data in procurement analytics.
• Give some illustrations of both qualitative and quantitative performance measures for procurement.
• Give an example of how predictive analytics might be used in the procurement process. What advantages would this have for the company?
• How can the supplier management process be enhanced by supplier scorecards and performance metrics?
• Talk about how supply chain diversification and potential supplier concerns are identified using procurement analytics.
• Consider the moral dilemmas raised by using private supplier information for analytics. How can these worries be dealt with?

Lessons Learned

The Power of Data: We now understand that data form the basis of a successful analytics strategy for procurement. A solid foundation of accurate, trustworthy, and well-structured data provides the basis for making wise judgments and gaining insightful knowledge. The ability to collect, clean, and analyses data allows procurement professionals to make more informed strategic decisions.

Strategic Decision-Making: Procurement analytics is about leveraging data to inform strategic decision-making, not just about numbers. We have learned how analytics can help us uncover cost-saving opportunities, improve supplier relationships, reduce risks, and make decisions that are in line with the overall objectives of the company.

Metrics and Performance Evaluation: As we investigated procurement performance metrics, we came to understand the significance of monitoring and assessing important indicators. We are able to improve procurement procedures and improve financial results by measuring supply chain efficiency, total cost of ownership, and supplier performance.

Supplier Collaboration and Risk Management: The importance of supplier collaboration and risk management has been discussed. We’ve discovered how to cultivate fruitful supplier relationships and foresee future supply chain interruptions through the use of predictive analytics and supplier scorecards. This gives us the ability to tackle problems head-on and ensure business continuity.

“Harvesting Knowledge, Seeding Transformation: Procurement Analytics’ High Note”