Data Analytics and Market Sensing

Nanyang Technological University, College of Professional and Continuing Education


Course introduction

From robots and artificial intelligence taking root in the workplace to the coming of age of the Internet of Things (IoT) and Big Data getting bigger, business can expect to see disruptions in industries, sectors and markets. Globalization and the rapid commoditization of goods and services have laid the ground for far more intense disruptions, and no sector or industry or market will be immune to these changes. Technology will continue to lead the disruption with the coming of age of fields like quantum computing, augmented and virtual reality, blockchains, robotics, etc. New business models will evolve and new businesses will be created, many of which will be involved in the field of advanced manufacturing. For example, smart systems (solutions that incorporate functions of sensing, actuation, and control in order to describe and analyze a situation, and make decisions based on the available data in a predictive or adaptive manner, thereby performing smart actions) will be rolled out to maximize the use of resources, increase productivity and improve business operations. Many, if not all, businesses will have to adapt to the changes that is happening in their companies. Many will have to embrace the changes, accept that business models and processes have to be responsive and that employees at all level need to work differently and be vested in its growth and development. Employees will have to change for change sake as they are an essential part of the new normal, for example, as systems become more “sensing”, so too must the employees and the company as a whole. Those that are not adapting and changing will find it hard to remain relevant. 



Course Benefits


The integration of technology in processes or operations in advanced manufacturing is not limited to the use of automation and robotics to gain competitive advantages; it includes the use of existing technologies and approaches, e.g. data analytics, real-time monitoring solutions, people management systems, etc. Companies remain competitive through many means and empirical evidence shows that a successful company has an uncanny ability to come up with products and service at the right time and a management team that is able to adapt to changes and is great at implementation.

The objective of this course is to enable companies that serve the advanced manufacturing sector to be more “sensing”, i.e. being able to seek out opportunities and anticipate threats using sensing tools and methods like data analysis, benchmarking, etc. Quoting Peter Drucker, “What a business needs most for its decisions — especially its strategic ones — are data about what goes on outside it. Only outside a business are there results, opportunities and threats.” There are two parts to this course. 

Day 1: 
The first part will introduce participants to data analysis, data analytics and business intelligence solutions and approaches. Participants will learn about different “sensing” tools and methods, and how to incorporate them into their day-to-day operations. “Sensing” tools include data analysis and analytics, business intelligence (i.e. market, competitor and customer intelligence) gathering methods, information distribution channels, benchmarking techniques, and many more.

Day 2: 
The second part will look at managing the “disruption” within the company. Making a company or organization more “sensing” in nature will involve everyone in the organization, from the receptionist using prepared FAQs (Frequently Asked Questions) and taking feedback from customers to the sales person in the field pitching the company’s products to gathering business intelligence for the corporate network. There will be changes in the way people work, use new tools and process, and how they deliver value to the customer. Getting employees to change and embrace new technologies, and be more sensing will raise new business challenges. Management will be challenged even more, not because the company is embracing new technologies and solutions, but in managing its employees in a changed working environment.  



Course Pre-Requisites


To be eligible for SkillsFuture Series subsidy, participants: 
- must be Singaporeans or Permanent Residents of Singapore 
* Participants who do not fulfill the above criteria are not eligible for SkillsFuture Series funding, and are required to pay the course fee in full.

Fee with NEW SkillsFuture Series Subsidy: S$250.38 (inclusive of GST) *conditions apply
 



Target Audience


This course is open to anyone interested in implementing solutions that will make a company more “sensing”. It is also for those that want to learn about how to manage change in an organization from a leadership perspective. 
 



Course Outline


There are two parts to this course. 

Day 1: 
The first part will introduce participants to data analysis, data analytics and business intelligence solutions and approaches. Participants will learn about different “sensing” tools and methods, and how to incorporate them into their day-to-day operations. “Sensing” tools include data analysis and analytics, business intelligence (i.e. market, competitor and customer intelligence) gathering methods, information distribution channels, benchmarking techniques, and many more.

Day 2: 
The second part will look at managing the “disruption” within the company. Making a company or organization more “sensing” in nature will involve everyone in the organization, from the receptionist using prepared FAQs (Frequently Asked Questions) and taking feedback from customers to the sales person in the field pitching the company’s products to gathering business intelligence for the corporate network. There will be changes in the way people work, use new tools and process, and how they deliver value to the customer. Getting employees to change and embrace new technologies, and be more sensing will raise new business challenges. Management will be challenged even more, not because the company is embracing new technologies and solutions, but in managing its employees in a changed working environment.  
 

Cancellation & Refund Policy
A written notification to copace@ntu.edu.sg or fax to
6774 2911 before course closing date.
No cancellation charges (Full refund)
A written notification on or after course closing date. No Refund
SkillsFuture Credit (if applicable):
- Participant to cancel their claim with WDA
- PaCE Collegereserves the rights to collect the full fee amount from the participant
 
Replacement Policy
Given a 3 days notice before course commencement, companies may replace participants who have signed up for the course. Terms and conditions apply.
 
There is no replacement for participant utilising SkillsFuture Credit. Participant to cancel their SkillsFuture Credit claim with WDA.
 
Terms and Conditions
• Course is subject to a minimum participation before commencement
• Course is subject to a first-come-first-serve basis in light of overwhelming responses
• PaCE Collegereserves the right to change or cancel any course or trainer, in light of unforeseen circumstances
• All details are correct at time of dissemination
 
Privacy Clauses
At PaCE College, participants’ personal information is collected, used and disclosed for the following purposes:
  1. To process your application.
  2. For course administration and billing.
  3. To enable the trainers to know the background of the course participants.
  4. To submit to governmental authorities for funding verification, administration and survey conducted by them (only applicable to funded courses).
  5. To submit to NTU Alumni Affairs Office, NTUC and other relevant organisations for course discount verification (if applicable).
  6. To issue certificate to the course participants.
  7. For marketing of courses to participants via E-newsletter.
  8. To understand and study the profile of its course participants for NTU’s policy making and planning.
  9. To deal with any matter related to the course.



Available Course Sessions


Course Date, Time Reg. Closes On
1 24 Jul' 18 to 25 Jul' 18, 9.00am to 5.00pm 21 Jul' 18 Register Now



Trainer Profile


Mr Tay, Francis

Francis Tay is an adjunct lecturer teaching Business Intelligence in the Master of KM course at Nanyang Technological University (NTU). He also holds the Chief Operating Officer position in a water treatment technology company and a Director position of a trading and distribution company.

Francis's work experience in international markets and business stretches back more than 18 years. These include being the Director of marketing and implementation services at Global Business Insights Pte Ltd (GBI), a wholly-owned subsidiary of IE Holdings, and senior positions in IE Singapore overseeing the overseas development of Singapore’s International Trading, EPE and ICT sectors. In addition, Francis has also held Centre Director positions at IE’s overseas offices in the US and UK.

The various experiences have put him in a good position to understand and work with large and small, local and foreign companies in the area of market entry and overseas implementation strategy. Examples include market entry projects in US, Europe and Asia, and feasibility study project in Mexico. Francis has also contributed opinions and views to trade association’s publications as well as mainstream publications like 'The Edge', and public talks at corporate organised events.

Francis obtained his Honours degree from NUS, majoring in Economics and Computer Science & Applications, and his Master of Science in Management (Sloan Fellowship) from the London Business School in the UK under an IE Singapore scholarship. Francis served 5 years on the National Youth Council’s Singapore Youth Awards (SYA) Entrepreneurship committee and is currently participating as a mentor to companies under the Ascendas-NUS Entrepreneurship Centre mentorship program.

Married with two children, Francis enjoys golf, reading (especially journals) and having challenging discussion on business and market strategy, research and innovation.



 

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