Data Driven Design: Harnessing the Power of Predictive Analytics

Programme Code: CRS-N-0044723


In a world where analytics rules, design is becoming ever more data-driven. 

Many large organisations, especially those in traditional industry sectors such as telecommunications, financial services and manufacturing, are beginning to realise the importance of design thinking combined with big data for true customer centricity. By embedding design thinking into big data use cases, organisations can unlock new opportunities, build empathy for users and pave the way to experiences that are truly human-centered and create an emotional connection.

In this new paradigm shift across businesses, success lies in simplifying complex and disconnected digital customer experiences using big data- enabled insights and user-centric design thinking and methods. These logics run across the entire ecosystem of desktop, kiosk and automated teller machine (ATM), mobile and tablet devices to emerging channels such as wearable devices and  predictive healthcare applications.

Next Course Starts On29 Jul 2019 (Mon) See Full Schedule
Fee SGD3210.00* (as low as SGD363.00* after maximum funding) Learn more

3 days



Learning Objectives

This course will help participants utilise business data more effectively by deriving insights of trends and irregularities from data and applying them for forward-looking predictions which will help improve the user experience, business intelligence and analytics environment of their organisations. This is realised through building predictive models with appropriate analytical and design thinking techniques. 

By the end of the 3-day course, participants will be able to

  • Use analytics tools such as Tableau, R, and BigML

  • Use data visualisation tools to generate insight into a situation or scenario

  • Understand the nature and application of predictive analytics approaches

  • Use simple regression and machine learning techniques to predict outcomes in a process or service environment

  • Understand the design thinking process and its relationship with data

  • Apply the insights gathered from predictive analytics within a design thinking based project

  • Use logic chain analysis to enhance the economy, efficiency, and effectiveness of processes and services 

Who Should Attend

  • Professionals who are using or wish to use predictive analytics to optimise business performance at a variety of levels in a wide range of industries
  • Senior executives and managers who want to enhance innovation in their organisation  


Course assessment will be based on classroom exercises, case studies and project presentation. 

Fees and Funding

SINGAPORE CITIZENS BELOW 40 years old / PERMANENT RESIDENTSIndividual or Non-SME Sponsored$963*
Sponsored by SME1$363*
SINGAPORE CITIZENSAged 40 and above2$363*
Aged 35 and above, and earn <=$2,000 per month3$213*
OTHERS $3210*

* includes 7% GST

** Singapore Citizens aged 25 and above may use their SkillsFuture Credit to offset respective course fees
Up to 90% course fee funding for employees of SMEs under Enhanced Training Support for SMEs ("ETSS")
Up to 90% course fee funding under SkillsFuture Mid-Career Enhanced Subsidy ("MCES")
Up to 95% course fee funding under Workfare Training Support Scheme ("WTS")

Funding Incentives

1. SkillsFuture Series

Singapore Citizens or Singapore Permanent Residents are eligible for 70% course fee funding (excluding GST) for successful enrolment into approved courses under the Programme. This funding is applicable to both individual and company sponsored participants.

Singapore Citizens aged 40 and above will enjoy 90% course fee funding (excluding GST).

2. SkillsFuture Credit**

Singapore Citizens aged 25 and above may use their SkillsFuture Credits (up to S$500) to pay for the course fees. The credits may be used on top of existing course fee funding.

This is only applicable to self-sponsored participants. Applications via must be made within 60 days before course commencement. Please click here for the user guide on how to submit your claim.

3. Absentee Payroll

Companies who sponsor their employees for the course may apply for Absentee Payroll via the SkillsConnect system. For more information, please visit SkillsConnect.


Start Date(s)
Intake Information
intake 117 to 19 January 2018 (Completed)
intake 211 to 13 April 2018 (Completed)
intake 318 to 20 July 2018 (Completed)
INTAKE 45 to 7 December 2018 (Completed)
INTAKE 522 to 24 April 2019 (Open for Registration)
intake 629 to 31 July 2019 (Open for Registration)

Speaker/Trainer Bio

Samuel Cammiss

An Affiliate Faculty of SMU Academy, Samuel is currently Director of Digital Consulting at NCS Group. Prior to this, he was Director of the Deloitte Southeast Asia Innovation Team, a unit that accelerates new products and services, builds new capabilities, and enables open innovation for Deloitte and its clients.

Samuel’s expertise centres on landing the promises of Digital Technology, Design Thinking, and Data Science in a way that adds real value to the work of businesses and governments. His work focusses on cutting through the jargon and enabling teams to take ownership of their transformation. His recent experiences include

  • Building digital-data enabled startup businesses in the “Smart City” space
  • Reimagining service experiences in banking and healthcare, leveraging predictive analytics
  • Simplifying operational systems using RPA and analytics support
  • Building next-gen analytics engines to enable enhanced risk management
  • Setting up innovation and transformation teams in the public and private sectors


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