NUS
 
ISS
 

Data Driven Decision Making

Overview

Reference No TGS-2020001510
Part of -
Duration 1 day
Course Time 9:00am - 5:30pm
Enquiry Please contact ask-iss@nus.edu.sg for more details.

Data-driven decisions perform significantly better according to a study led by the MIT Centre for Digital Business.  One barrier to data-driven decision making is the shortage of experienced talent in analytics.

Data modelling and engineering is the role of data scientists or data analysts, business leaders and managers have a critical role to play at the beginning and at end of the process, framing the problems and analysing the results to provide the recommendations for sound decision making. These managers’ equally need to know and understand data science, combining it with their knowledge of the business and the business needs, to address challenges faced by the organisation.
  
When presented with analytics output, business decision makers commonly have the following questions and uncertainties. It is necessary for the end consumers of data analytics to know how to discern good analytics work from a poor one.

This course is part of the Data Science and Digital Strategy & Leadership Series offered by NUS-ISS.

This course is also offered in the following formats:
  • Online Blended Learning: Learn more and register here.
  • Live Online Learning (via Zoom): Available for corporate groups only. Contact us at (65) 6516 2093 or email us at iss-blendedlearning@nus.edu.sg.
  • In-person Learning: Register using the link below.

Upcoming Classes

Class 1 01 Sep 2025 to 01 Sep 2025 (Full Time)

Duration: 1 day

Time:
9:00am to 5:00pm



Key Takeaways

At the end of the course, participants will be able to:
  • Learn the essential steps and value chain to transform raw data into business decisions.
  • Discover how Artificial Intelligence enhances decision-making.
  • Gain a structured understanding of the CRISP framework and its key components to guide data-driven decisions.  
  • From descriptive to prescriptive analytics, learn how different analytical approaches uncover insights and drive action.
  • Use NUS-ISS Analytics Maturity Model to assess and elevate your organisation’s data-driven capabilities.
  • Identify the key skills, mindsets, and cultural shifts needed for a successful data transformation.
  • Get hands-on experience applying the NUS-ISS Data-Driven Decision-Making Model to real-world business challenges.



Who Should Attend

Any working professional who is interested in using data and analytics to address business issues; to be able to frame the problems and analyse the results of an analytics project to ensure sound decision making.

What to Bring

No printed copies of course materials are issued.
Participants must bring their internet-enabled computing device (laptops, tablet etc) with power charger to access and download course materials.

If you are bringing a laptop, please see below for the tech specs:

 

Minimum

Recommended

Operating Systems

• Windows 7, 8, 10 or
• Mac OS

Laptop running the latest
version of either Windows or
Mac OS

System Type

32-bit

64-bit

Memory

8 GB RAM

16+ GB RAM

Hard Drive

256 GB disk size

 

Others

• An internet connection – broadband wired or wireless
• Installation permissions (non-company laptops) 
• Keyboard
• Mouse/Trackpad
• Display
• Power adapter (laptop battery might run out)

DirectX 10 graphics card for graphics hardware acceleration





What Will Be Covered

  • An overview on data and analytics process and life cycle
  • Reliability and validity check for data analytics model
  • Common model results interpretation and application
  • Different schools of modelling techniques
  • Strategy for data-driven projects



Fees & Subsidies

Fees for 2024
  Full Fee Singaporeans & PRs
(self-sponsored)
Full course fee S$900 S$900
ISS Subsidy  - (S$90)
Nett course fee S$900 S$810
9% GST on nett course fee S$81 S$72.90
Total nett course fee payable, including GST S$981 S$882.90
Note:
  1. All fees and subsidies are valid from January 2024, unless otherwise advised.
  2. All self-sponsored Singaporeans aged 25 and above can use their SkillsFuture Credit to pay for course fees. For more information about SkillsFuture Credit, click here.
  3. From 1st January 2024, the GST will be increased to 9%



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Certificate

Certificate of Completion
Participants have to meet a minimum attendance rate of 75% and are required to pass the assessment to be issued a Certificate of Completion.



Join Us

Empower your decision-making skills. Register now to master data-driven strategies.



Preparing for Your Course

NUS-ISS Course Registration Terms and Conditions

Find out more.

NUS-ISS and Learner’s Commitment and Responsibilities

Find out more.

WIFI Access

WIFI access will be made available to participants.

Venue

NUS-ISS
25 Heng Mui Keng Terrace
Singapore 119615

Click HERE for directions to NUS-ISS

In the event of a change of venue, participants are advised to refer to the acceptance email sent one week prior to the commencement date.

Course Confirmation

All classes are subject to confirmation and NUS-ISS will send an acceptance email to participants one week prior to the commencement date. Confirmed registrants are to attend and complete all lectures, class exercises, workshops and assessments (where applicable). Additionally, all responses to feedbacks and surveys conducted by NUS-ISS and its partners must be submitted. All training and assessments will be delivered as described in the course webpage.

General Enquiry

Please feel free to write to ask-iss@nus.edu.sg if you have any enquiry or feedback.




Course Resources

Develop your Career in the Following
Training Roadmap(s)

Please click on the discipline(s) to view the training roadmap of related courses to assess your training needs and goals.

Data Science

Driving business decisions using insights from Data

Read More Data Science
Digital Strategy & Leadership

Develop leadership and strategy capabilities to lead digital transformation in your organisation

Read More Digital Strategy & Leadership

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