Big Data Analytics for Business Impact: Manufacturing

Programme Information
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Using big data to improve yield, minimise waste and save costs.

"If digital is the new economy, then data is the new currency" Justice Chikomba, faculty, GIBS
In process-oriented manufacturing operations, maximising yield and minimising costs is most desirable. In many instances, significant amounts of shop-floor, streaming and other data are available in manufacturing environments. Employing advanced analytics techniques, organisations can utilise the massive amounts of data to uncover patterns and unlock intelligence to improve yield and further reduce costs.

Statistical Process Control techniques can also be employed to help minimise variation and deliver consistent outcomes that meet required quality standards and reduce waste.

Whilst organisations acknowledge the value they can potentially derive leveraging big data analytics, few know where to start or have a defined strategy for big data initiatives.

This course will tackle this at a functional level in an organisation with special focus on manufacturing. Various case studies will be discussed that explore the implementation of big data analytics and the opportunity this provides for manufacturing competitiveness. In addition, guest speakers will share insights from operations in their own organisations.


Who should attend?

General managers, functional managers, big data project managers, business & data analysts, digital transformation professionals and anyone considering implementing a big data project.



How you will benefit:

At the end of the programme you will be able to:

  • Define big data and its attributes;
  • Learn how manufacturers can leverage big data analytics to improve operations;
  • Map and establish where your organisation sits in the big data analytics wave;
  • Learn from proven cases in the manufacturing industry where big data analytics delivered demonstrable and measurable value; and
  • Work through a practical example of improving operations through machine learning.



Key focus areas:

  • Build a compelling business case for investing in big data analytics for manufacturing;
  • Tackle challenges, limitations and barriers to successful adoption of big data analytics and weathering the storms;
  • Measuring the impact of big data analytics post-adoption;
  • Building effective big data analytics competencies in your organisation; and
  • Practical examples for improving manufacturing operations through big data analytics.


More information
Faculty

Justice Chikomba has cross-industry experience in the fields of Advanced Data Analytics and ICT (Information & Communication Technologies) Consulting. He served in credible global organisations including Accenture, Barclays Africa, Mutual & Federal (member of the Old Mutual Group), Ernst & Young and Microsoft. He is passionate about helping businesses leverage exponentially rising amounts and types of data to develop actionable insights and foresight that enhance the quality of decisions they make in their bid to develop competitive advantage. He firmly believes that "if DIGITAL is the new economy, then DATA is the new currency". Justice holds a Bachelor of Commerce (Hons) in Informatics Degree from the University of Pretoria and an MBA from the Gordon Institute of Business Science (GIBS).



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