PM

Managing Business Analytics Projects

Enquiry
Programme Code D83A
Domain
Product Management
Level
Intermediate
Learning Partner(s)
NUS-ISS
Duration
3 Days
Format In-person
Rating
Competencies
Project Management Product Life Cycle Management
Job Roles
Project Manager (Agile) Product Manager ICT&SS Professional Digital Service Manager

Overview

Equip yourself with the necessary knowledge, techniques and skills to successfully deliver the desired value and business outcomes for business analytics projects.

Business Analytics is one of the core disruptors in this digital age. Businesses and government agencies are constantly on the look-out for new insights to acquire the competitive edge to serve their customers and citizens. While they have jumped on this opportunity to develop their analytics capabilities, they need professionals who can realise and optimise the value from these initiatives.

This programme brings together the best practices from 3 fundamental disciplines of product management, agile, and data analytics to teach the crucial skills required in effectively managing analytics projects. You will learn how to make use of data analysis, explanatory and predictive models, and fact-based management to drive decisions and actions in a scalable and sustainable manner.

Key Takeaways

At the end of this programme, you will be able to:
  • Understand the unique nature and challenges of building and managing business analytics products
  • Identify and articulate the value your customer gets from using your analytics product
  • Learn how to validate the analytics product roadmap to develop the required analytics feature set through iterative releases
  • At the project level, adopt incremental delivery of value and customer satisfaction through continual product construction, transition, rollout and maintenance iterations

Who Should Attend

  • Please refer to the job role section.
  • Public Service Officers including product managers, project managers, data scientists, IT and business sponsors who have an active interest in participating and managing various parts of business analytics projects and developing business analytics products.

What To Bring

You must bring your internet-enabled computing devices (laptops, tablets etc) with power chargers to access and download programme materials. No printed copies of programme materials are issued. Please refer to the full tech specifications here.

Programme Structure

This programme will cover the following topics:
  • Introduction to Business Analytics Projects
  • Project Inception/Initiation
  • Project Execution/Construction
  • Retrospective and Transition

    This programme is part of the Data ScienceDigital Products & Platforms and Graduate Certificate in Analytics Project Management series offered by NUS-ISS.
  • Fees


    Full Fee

    Full programme fee

    S$2850

    9% GST on nett programme fee

    S$256.50

    Total nett programme fee payable, including GSTS$3106.50

    With effect from 1 Jan 2024

    NOTE
    Funding is available for this programme. Please visit the Learning Partner’s website to find out about the updated programme fee funding breakdown and eligibility.

    Payment for this programme is to NUS-ISS, National University of Singapore.

    Upcoming Classes

    Class 1
    14 May 2024 to 16 May 2024 (Full Time)
    Duration: 3 days
    When: May - 14, 15, 16
    Time : 9:00am - 5:00pm

    How To Register


    Agency-sponsored

    Step 1 Apply through your organisation's training request system.

    Step 2 Your organisation's training request system (or relevant HR staff) confirms your organisation's approval for you to take the programme.

    Your organisation will send registration information to the academy.

    Organisation HR L&D or equivalent staff can click here to register through training provider's registration portal if you have the NUS Online Application Portal (OAP) account. Alternatively, please contact ask-iss@nus.edu.sg


    Step 3 The learning provider will inform you whether you have been successful in enrolment.