Introduction to Supply Chain Analytics

Supply chain optimization requires the ability to mine, process, and analyze data, but the tools and turnaround times are increasingly complex, demanding, and often overwhelming. Breakthrough the confusion by mastering the foundational theories, exploring the tools, and connecting data to organizational impact. This 'how to' course includes relevant case studies, interactive discussions and Excel-based exercises—all with the focus on improving supply chains through data analysis.

Short Course

Introduction to Supply Chain Analytics

Overview

Supply chain optimization requires the ability to mine, process, and analyze data, but the tools and turnaround times are increasingly complex, demanding, and often overwhelming. Breakthrough the confusion by mastering the foundational theories, exploring the tools, and connecting data to organizational impact. This 'how to' course includes relevant case studies, interactive discussions and Excel-based exercises—all with the focus on improving supply chains through data analysis.

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Current Offerings

Start

Jan 21, 2025

End

Jan 23, 2025

Schedule

January 21-23, 2025: 8:30-11:45am Eastern

Location

Live Remote

Fee

Start

Apr 08, 2025

End

Apr 10, 2025

Schedule

April 8-10, 2025: 8:30-11:45am Eastern

Location

Live Remote

Fee

Start

Jun 03, 2025

End

Jun 05, 2025

Schedule

June 3-5, 2025: 8:30-11:45am Eastern

Location

Live Remote

Fee

Who Should Attend

This course is ideal for analysts, leaders, and consultants seeking familiarity with supply chain data fundamentals and analysis.

Program Benefits

Improve your ability to

  • Understand foundational analytics principles in relation to supply chains
  • Collect, evaluate and improve the quality of supplier-to-consumer metrics and KPIs
  • Conduct Excel-based data cleansing and analysis, and be prepared for digital automation
  • Align analytics to support strategic organizational objectives and decision-making

What You Will Learn

This course applies the fundamentals of data analytics to supply chains across scales, sectors, and locations. You will learn the best practices for mining, processing, analyzing, and optimizing key datapoints throughout your operations. The focused nature of this course maximizes your time by providing immediately applicable theories and techniques.

Penn State faculty illustrate their lessons through relevant case studies, helping you recognize connections to your own organization. Step-by-step walkthroughs and in-class exercises help you test your skills while receiving support from Penn State professors. Interactive breakout room discussions facilitate learning from peers facing the same supply chain challenges and opportunities.

The role of analytics in supply chains

  • Fundamental analytical terminology and approaches
  • Understanding the challenges and opportunities of big data
  • Identifying the most important characteristics of supply chain KPIs

Capturing data strategies

  • Mining data from suppliers, inventories, transportation, and customers
  • Assessing data quality through quantified metrics
  • Cleansing and normalizing data, as demonstrated in a detailed exercise

Processing data strategies

  • Overview of analytics maturity models, techniques, and software
  • Interpreting data accurately to avoid common pitfalls
  • Analyzing key criteria to prioritize products and customers

Data-driven decision-making

  • Generating value from data through descriptive to prescriptive techniques
  • Combining predictive and optimizing supply chain analytics
  • Introduction to advanced automated analytics
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Well constructed and promoted excellent cross-discussion between businesses. Helped refresh me on the core components of business analytics.

Commodity Manager,
Kennametal, Inc

Value For You and Your Organization

Supply chains inherently generate big data, which can provide crucial insights into business decisions. But the data's value is lost if captured and processed without a strategic and scientific approach. In this course, Penn State professors share a comprehensive overview of data collection, cleansing, and analysis, reinforced by case studies and exercises. You'll learn the step-by-step techniques to process supply chain data in a manner that supports your organization's greater goals.

The Penn State Difference

Efficiently expand your skillset through focused courses tailored to future-oriented professionals.

Extended Learning

Accelerate learning before the course begins by accessing suggested pre-program readings and assignments through your personal learning portal. Continue to master the content after the program by downloading course decks, class recordings, and in-depth exercises.

Practical Lessons

The course illustrates core principles through relevant real-world case studies. You'll explore how organizations from various sectors, sizes, and locations overcome complex business challenges. An emphasis on step-by-step solutions will help you apply the lessons to your own organization.

Expert-led

Learn from Penn State's award-winning faculty, who have years of experience applying academic mastery to global organizations. Professors craft each course by distilling cutting-edge research into an accessible, applicable format. Questions and participation are always encouraged so that you fully leverage their expertise.

Peer Networking

Your classmates will come from all industries, organizational types, and locations, revealing to new perspectives and approaches. Group-based exercises and interactive breakout rooms encourage participants to learn from one another and network across sectors.

Faculty

This course is led by expert faculty, with extensive academic and industry leadership experience, who are committed to sharing unique insights into your organization.

Customize This Program

All programs can be tailored to your organization and team, and be delivered to groups of 10 or more. Contact us about custom program possibilities. Customize Request Info 800-311-6364
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Additional Details

Our Learning Solutions Associate will be happy to hold a seat for you in this program. A reservation does not commit you to the program until you submit the registration form online. To reserve your spot, click the ‘Save my Seat’ button next the program’s offering, listed above.

Discount Rates

  • 10%: Live Remote delivery

Eligibility

Tuition discounts are available for:

  • DoD or government employees
  • Penn State alumni
  • Individuals who commit to earning a Professional Certificate
  • Teams of three or more attending from the same organization
  • CSCR Corporate Sponsors and other affiliated groups (with valid discount code)

After registration, you will receive access to your personal learning portal. There you can find the following information:

  • Pre-program assignments, which prepare you for the program before the start date
  • A list of program faculty and fellow registered participants
  • Travel coordination and support, if applicable

Transfers

If an accepted Penn State Executive Programs applicant finds it necessary to transfer to another session of the same program, one transfer will be allowed with no charge if arranged more than six (6) weeks prior. Additional transfers, transfers to a different program, or transfers arranged less than six (6) weeks prior incur a charge of 10% of the current program fee.

The sponsoring company may identify a replacement candidate, but the replacement candidate must be accepted for the program through an admissions review.

Refunds

The following refunds will apply for withdraws if Penn State Executive Programs is notified in writing within the time period stated:

  • Full refund with notification received more than six (6) weeks prior to start of the program
  • 50% refund with notification received between two (2) and six (6) weeks before the start of the program.
  • No refund with notification received two (2) weeks or less prior to the start of program.

Note: The registered participant or their agent must confirm all notification of withdrawals, transfers and substitutions in writing. If written notification is not received, the full program fee will be assessed.

Cancellations

The University may cancel or postpone any course or activity because of insufficient enrollment or other unforeseen circumstances. If a program is canceled or postponed, the University will refund registration fees but cannot be held responsible for any other related charges, or expenses, including cancellation/change charges by airlines or travel agencies. In the case of postponement, as an alternative to a refund, program fees may be transferred to another session of that program.

If you have any questions or concerns about our cancellation policy, please contact us to discuss further.