Manufacturing (Big Data Analytics for Business Impact)
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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.
How you will benefit
At the end of the programme you will be able to:
- Define big data and give an overview of the attributes thereof;
- Learn how organisations are leveraging big data analytics to improve manufacturing operations today;
- Familiarise yourself with proven cases in the manufacturing industry where big data analytics delivered demonstrable and measurable value;
- Map and establish where your own
- function/organisation sits in the big data analytics wave;
- Be a strong contender in the scramble for ‘Unicorns’, that is, great data scientists and big data analysts which are hard to find; 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.
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.