Business Analytics For Strategic Decisions

Discover strategies and frameworks for decision making with data. Programming Knowledge is not required.

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Course Dates

STARTS ON

TBD

Course Duration

DURATION

2 months, online
4-6 hours per week

Course Duration

PROGRAMME FEE

Course Information Special group enrolment pricing

Apply today and avail tuition assistance of US$100. Use code NUS100TA during payment.

Have a chat with us - +65 3138 5595 (Monday-Friday) (11:30 AM - 06:30 PM Singapore time)

What will this Programme do for you?

Following successful completion of the programme, participants will be able to:

  • Identify strategic, managerial, and/or organisational problems related to analytics
  • Articulate a plan for generating organisational value through improved analytical maturity
  • Determine accuracy metrics and factors that are vital to predicting specific business outcomes
  • Evaluate the current data protection infrastructure of your organisation
  • Recognise factors that could compromise your organisation’s data integrity or model transparency

Programme Modules

    • Identify strategic, managerial, and/or organisational problems related to analytics in your organisation or industry
    • Assess your organisation’s level of data analytical maturity
    • Articulate a plan for generating organisational value through improved analytical maturity

    • Identify high-value data analytics problems and use cases with your organization
    • Leverage existing and yet untapped data sources for your organisation
    • Evaluate your organisation’s data quality
    • Identify data summaries and visualizations relevant to your organizational needs and/or analytics goals

    • Identify factors that are important to consider in predicting a given business outcome
    • Identify the best analytical model to utilize for a given set of key outcomes and predictors
    • Evaluate most suitable accuracy metrics for your predictive analytics models
    • Specify ways to improve the accuracy of a model predicting a given business outcome
    • Evaluate organizational needs for data science personnel and data analytics infrastructure
    Includes a Predictive Analytics Lab, where the faculty will walk participants through how to use an automated machine learning platform called DataRobot on a loan dataset

    • Articulate differences between causal and predictive analytics
    • Identify causal analytics problems relevant to your organisation
    • Identify suitable cause and effect variables as well as confounding factors that could bias results
    • Learn about key models and methods to infer causal relationships among key business predictors and outcomes

    • Identify pertinent AI risks for your organisation and regulations in your industry sector relevant to these risks
    • Evaluate the current data protection infrastructure of your organisation
    • Identify factors that could compromise your organisation’s data integrity or model transparency
*This programme will be delivered via recorded video lectures by faculty.
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Programme Faculty

Jussi Keppo

Faculty at NUS Business School

Associate Professor Keppo teaches risk management and analytics courses, and directs analytics executive education programmes at NUS Business School. He is also Research Director of the Institute of Operations Research and Analytics at NUS. Previously, he taught at the University of Michigan... More info

Prasanta Bhattacharya

Faculty at NUS Business School

Prasanta is an Adjunct Assistant Professor with the Department of Analytics and Operations (NUS Business School). He holds a PhD in Information Systems from the Department of Information Systems and Analytics, National University of Singapore, where he studied computational social science... More info

Jussi Keppo

Faculty at NUS Business School

Associate Professor Keppo teaches risk management and analytics courses, and directs analytics executive education programmes at NUS Business School. He is also Research Director of the Institute of Operations Research and Analytics at NUS. Previously, he taught at the University of Michigan.

He has several publications in the top-tier journals such as Journal of Economic Theory, Review of Economic Studies, Management Science, Operations Research, and Journal of Business on topics such as investment analysis, banking regulation, learning, and strategic incentives. His research has been featured also in numerous business and popular publications, including The Wall Street Journal and Fortune.

Associate Professor Keppo’s research has been supported by several Asian, European, and US agencies such as the National Science Foundation. He serves on the editorial boards of Management Science, Mathematics of Operations Research, Journal of Risk, Production and Operations Management, and Journal of Energy Markets. He has consulted several start-ups, Fortune 100 companies, and financial institutions.

Prasanta Bhattacharya

Faculty at NUS Business School

Prasanta is an Adjunct Assistant Professor with the Department of Analytics and Operations (NUS Business School). He holds a PhD in Information Systems from the Department of Information Systems and Analytics, National University of Singapore, where he studied computational social science with a special focus on predictive and inferential methods in large social networks.

His current research agenda aims at understanding the role of big data in emerging social and business applications like digital marketing, micro-finance, healthcare, and urban systems. He actively collaborates and consults with leading industry partners from around the world, and regularly presents his research in major computer science, information systems, and marketing conferences worldwide.

The Business Analytics Playbook

The Business Analytics Playbook

Participants will apply the learnings of the programme with the help of the Business Analytics Playbook. Here is an overview of what you can expect:

  • Each week, participants must complete the corresponding module’s application exercise in the Playbook
  • There will be optional polls, discussions, crowd-sourced activities, try-it exercises, and industry Q&As participants are encouraged to engage with
  • Participants must complete 4 out of the 5 weeks of the Business Analytics Playbook in full in order to receive their certificate

The Playbook and application assignments are designed to seamlessly guide you through each module. Any questions you may have as you work through the Playbook can be addressed during the weekly Live Session's assignment debrief.

Programme Learning Journey

Video Lectures

Video Lectures

Discussion Boards

Discussion Boards

Assignments

Assignments

Quizzes

Quizzes

Crowd-Sourced Activities

Crowd-Sourced Activities

Polls

Polls

Playbook

Playbook

Why Enrol for the Business Analytics for Strategic Decisions Programme?

Big data technologies continue to innovate how business is done. From booming tech start-ups like Grab and Ninja Van to top e-commerce players Lazada and Shopee, data analytics is being used across industries to supercharge efficiency, improve personalisation, and streamline operations.

In this Business Analytics for Strategic Decisions programme delivered by NUS Business School, you can develop the tools you need to leverage your organisation’s most valuable data. Whether you’re a CEO, business manager or director, enhancing your analytics capabilities is essential to driving strategic decision-making and gaining a competitive edge.

With modules focused on the predictive models used for business forecasting, the ins and outs of causal analytics, and the privacy and security of datasets, you will be exposed to big data applications, artificial intelligence (AI) technologies, and real-world case studies in this two-month business analytics programme.

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Who is this Programme for?

This online program is ideal for professionals who want to leverage analytics to accelerate business growth.

Participants will learn how to effectively work with data/data scientists to identify business problems where analytics can add value.

The representative roles for this course may include:

  • Mid-level to Senior Level Professionals across Functions such as Finance, Marketing, Operations, Strategy etc. who want to understand ways to leverage data for deriving insights/better decision making.
  • Analysts and Consultants who want to understand how they can align their work with business objectives and support management in achieving better business outcomes.
  • Entrepreneurs and business owners who aim to grow their businesses through effective data analytics.
  • Data Practitioners who are professionals working/aspiring to work in Business Analytics or Data Science who want to improve their skillset and accelerate their career.

The programme requires no formal education in data or analytics; Participants don't need to have any technical knowledge to benefit from this programme.

Certificate

Certificate

Upon successful completion of the Programme, participants will be awarded a verified digital certificate by NUS Business School.

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Programme Testimonials

Hazman Hafiz

"Complex concepts are explained in a simpler way and interviews with the industry practitioners were insightful."

— Hazman Hafiz, Manager, Malaysian Aviation Commission

Eustaquio Santimano

"I find the complete programme fantastic as this topic is totally new to me. For me this has been a good learning journey."

— Eustaquio Santimano, Digital Project Manager, Sodexo

Apply Now

Early registrations are encouraged. Seats fill up quickly!