NUS EXECUTIVE EDUCATION

Leading with Big Data Analytics

Call Advisor: Debby Lim +65 6516 8342

Email Advisor:

Duration: 5 Days

Next Run: 05 Mar - 09 Mar 2018 - Apply Now

Venue: Mochtar Riady Building, Lvl 5

Fees: SGD 5,990 (excl. GST) | 6,409 (incl. GST)

Overview

Harness the Potential of Big Data and Analytics Strategy

The convergence of big data with technologies such as cloud services, sensors, ubiquitous computing, mobile devices and the Internet of Things has created vast new opportunities for business. Big data has become a competitive and sustainable advantage for many organisations. To harness the benefits of big data, however, business leaders face the pressing challenge of not only acquiring the right technologies and talent to analyse and interpret the data, but also to weave a data-centric mindset into the organisation’s structure and cultural fabric.

This five-day programme empowers you with the skills and confidence to tackle data-driven opportunities and accelerate data-analysis transformation in your organisation. Through lectures, case studies and discussions, you will gain real-world insights on various applications of big data analytics, and how they can be used to fuel better decision-making within the context of your own organisation.

Leading with Big Data Analytics photo

Dates and Fees

Dates Venue Fees Excl. GST (SGD) With GST (SGD) Registration
Dates 1
05 Mar - 09 Mar 2018 Mochtar Riady Building, Lvl 5, 15 Kent Ridge Dr, Singapore 119245 5,990 6,409 Apply Now

Note: GST applies to individuals and Singapore registered companies.

Alumni / Early Payment / Team Enrolment Benefits

All NUS alumni and past participants of NUS Executive Education are entitled to 10% alumni savings on this programme.

Alternatively, you can enjoy savings if you pay early with Visa or MasterCard:
> 45 days before start of programme: 10% savings
> 30 days before start of programme: 5% savings

Team enrolment benefits are also available, please contact the programme advisor for details.

Application Deadline

  • Participants are strongly advised to apply at least 2 months in advance
  • Applications received after the deadline will be considered based on space availability
Sign Up for Two Programmes & Save

Enjoy significant savings of S$2,000 by combining the following courses with this programme:

Emerging Leaders Programme (ELPCOMBI2017)
Leading Transformational Change (LTCCOMBI2017)
Mergers & Acquisitions (MACOMBI2017)
Strategic Human Resource Management (SHRMCOMBI2017)
Strategic Marketing Management (SMMCOMBI2017)
Developing and Driving Strategic Innovation (DSICOMBI2017)

Terms and conditions apply. Please refer to this information sheet for more details.

You may take this programme as part of the Certificate of Excellence in Global Business.

Core Focus

    • Big data analytics: Technologies, policies, analytics methods
    • Big data and actionable intelligence in business: Optimisation and visualisation techniques, engaging stakeholders
    • Disruptive innovation: Creating new opportunities in mature markets
    • Distilling value from big data: Developing a strategy roadmap, privacy implications, traps and myths
    • Change management: The role of data analytics and its applications
    • Examples and cases: Risk management, HR analytics, legal analytics, consumer and retail analytics

Key Benefits

Key Benefits

  • Discover how big data and analytics can help your business accelerate innovation and achieve a competitive and sustainable edge
  • Be exposed to some of the most recent ideas and techniques in big data and analytics
  • Learn to understand, interpret and trust the data that goes into your analytics to make business-critical decisions
  • Learn to build a data-driven culture across your organisation

Who Should Attend

Leaders and senior managers interested in building analytics capabilities to drive change within their organisation, including:

  • C-level executives
  • Senior managers in finance, marketing, supply chain, human resources or strategy

Although no prior experience in big data and analytics is required, participants are encouraged to complete the set of pre-readings provided to prepare for the course.

Testimonials

  • Good for professional and senior leadership team that needs a quick view of global/regional operations that are too cumbersome for typical spreadsheets.

    Cheryl Ong, Singapore
    Associate Director, Talent Acquisition Ernst & Young Solutions LLP

    Suitable for emerging or early adopters of data analytics. The programme provides quick and rich insights on big data analytics. Big data is not just about having more data. It is about harnessing the right big data to answer your key strategic business questions! Thank you!

    Nancy Tan, Singapore
    Director, Academic Affairs
    Ngee Ann Polytechnic

    Come with an open mind to appreciate how big data can help navigate your company.

    Cheang Chee Kit, Singapore
    Vice President
    PSA International

  • Nice journey, interesting topics.

    Lin Xin, Singapore
    Analytics Manager
    Singapore Press Holdings

    Very useful in helping to clarify big data concepts, and what will be needed when I need to use and analyse big data.

    Alyssa Chen, Taiwan
    Manager
    Global Mall

    It was great and worth attending this course.

    Suraya Binti Semi, Malaysia
    Information Technology Officer
    Ministry of Health

Faculty

Programme Director
Jussi Keppo

Jussi Keppo

Associate Professor and Co-Director, Master of Science (Business Analytics)

» View CV

Jussi teaches risk management and business analytics courses. He has several publications in top-tier journals such as Journal of Economic Theory, Review of Economic Studies, and Journal of Business on topics such as investment analysis, information economics and banking regulation. Jussi's research has been featured also in numerous business and popular publications, including the Wall Street Journal and Fortune. His research has been supported by several Asian, European and US agencies, such as the National Science Foundation. Jussi serves on the editorial boards of Mathematics of Operations Research, Operations Research Letters, Production and Operations Management, and Journal of Energy Markets. He has consulted for several Fortune 100 and asset management companies.

Other Teaching Faculty
Teo Chung Piaw

Teo Chung Piaw

Provost Chair Professor and Head, Decision Sciences

» View CV

Chung Piaw is Provost Chair Professor and Head of Decision Sciences at NUS Business School. Prior to his current appointments, he was Acting Deputy Dean, Vice Dean of the Research and PhD Programme, as well as Chair of the PhD Committee in the School. He was an Eschbach Scholar in Northwestern University, Professor in Sungkyunkwan Graduate School of Business, and a Distinguished Visiting Professor in Yuan Ze University. His research interests lie in service and manufacturing flexibility, discrete optimisation, ports container operations, matching and exchange, and healthcare management. He is currently an area editor for Operations and Supply Chains, and associate editor of Management Science (Optimisation). He has also served on several international committees, such as the Chair of the George Nicholson Student Paper Competition (INFORMS, USA), member of the IMPACT Prize Committee (INFORMS, USA), Fudan Prize Committee on Outstanding Contribution to Management (China), and the Hong Kong PhD Fellowship Scheme Selection Panel.

Tuan Q. Phan

Tuan Q. Phan

Assistant Professor, Information Systems, School of Computing

» View CV

Tuan is an Assistant Professor in the Department of Information Systems at NUS School of Computing. He has a Doctor of Business Administration from Harvard Business School in Marketing, and a Bachelor of Science from MIT in Computer Science and Electrical Engineering, with concentrations in Business and Economics. Prior to his graduate studies, he started a company providing 3D computer graphics for mobile devices. He has extensive consulting experience with firms dealing with big data issues in advertising, media, e-commerce and retail. His research brings together social sciences, computer science, and statistics to investigate social networks, social media, big data, product diffusion, word-of-mouth, and web and mobile commerce.

NUS Business School
Mochtar Riady Building, Level 5
15 Kent Ridge Drive, Singapore 119245

Email: 
Phone: +65 6516 7872

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