Digitalisation has impacted the value of different skills in many industries. The search for digital talent to implement all kinds of enterprises' digital business strategies have been a constant challenge and a delicate balance between cost and value. Since Artificial Intelligence and Automation are certain to play important roles in our workforce, every organisation is looking at how to fully optimise the potential of human and machines working together to unleash new value for the businesses. This talk will cover topics on impact of Digitalisation on Skills, leverage on the Diversity in Digital Talent Pools, Job Redefined To Unleash New Value and redesign Talent Strategy for Digital Age.

1. www.iss.nus.edu.sg
Setting up
analytics units
from scratch
Nirmal Palaparthi
(12 August 2020)

2. © National University of Singapore. All Rights Reserved.
Nirmal Palaparthi
#ISSLearningDay
Consulted in 17 countries. Across
Banking, Retail, Telecom, Consumer,
Product Government and Enterprise
Software verticals.
• Principal Lecturer, ISS
• CEO, Mobius Innovations
• Chief Architect, Fractal Analytics
Leveraging the experience of setting up
Analytics units for various companies since
2000, Nirmal will cover the best practices of
how a company should approach the set up
phase of their data science journey. The talk
would cover the various challenges involved,
the options available and the step-by-step
process involved. Real-life case studies would
be used to illustrate what worked and what
didn’t. Ten points are presented.

3. #1 What is the big
picture?
https://expatliving.sg/ahoy-renting-a-boat-or-yacht-in-singapore-all-you-need-to-know/

4. © National University of Singapore. All Rights Reserved.
What is Analytics?
Statistics
Business
Acumen
Software
Tools Solve Problems
across Domains

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Vision
Cultural
Mindset
Analytics
Talent
Data
Strategy
Information
Architecture
Data
Governance
Know &
Monitor

6. #2 What is the ROI?
https://www.quora.com/How-does-a-cannon-compare-to-a-machine-gun-as-a-weapon https://www.collinsdictionary.com/dictionary/english/fly

7. © National University of Singapore. All Rights Reserved.
Business benefits trump sophisticated analytics
Analytics
cost
Business
benefit
Infra cost
Analytics
cost
Infra cost
Business
benefit

8. #3 What are
the use cases?
https://www.treehugger.com``/clever-uses-for-binder-clips-4863753

9. © National University of Singapore. All Rights Reserved.
Analytics drives decisions across Industries
• Banking
• Anti Money Laundering
• Telecom
• Churn Prevention
• Retail
• Recommender Systems
• Healthcare
• Drug Discovery
• Manufacturing
• Process Improvement
• Airlines
• Yield Management

10. #4 Starting
small
https://performancepro.fitness/one-step-time/

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Common goals of Analytics

12. #5 No
Data
https://www.pexels.com/photo/drop-of-water-993077/

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What if there is not enough data?
• Try the right
permissions
• Augment data
• Simulate data
• Try publicly available
data
Data.gov Portal
(https://catalog.data.gov/dataset)
231K datasets
Singapore government data
(https://data.gov.sg/search) 1 K
datasets
Google Dataset Search
(https://datasetsearch.research.goo
gle.com/) 25 Million datasets

14. #6 Data
Deluge
https://en.wikipedia.org/wiki/The_Great_Wave_off_Kanagawa#/media/File:Tsunami_by_hokusai_19th_century.jpg

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The data value chain
Visual
Output
Analysis
Data Preparation
Data Cleaning
Data Collation
Data Collection
Quick wins: Slice Approach
Long term must: Horizontal scalable architecture

16. © National University of Singapore. All Rights Reserved.
Use the right data pipeline
• Big Data
• Streaming Data
• Unstructured Data
© 2019 National University of Singapore
https://www.linkedin.com/pulse/riding-big-data-tsunami-gregg-lichtenstein

17. #7 Decision
engineering
https://associationsnow.com/2017/12/association-decision-making-path-better-decisions/

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Decision Engineering
Component Function
Sensors Data Collection and Processing
Brain Model Scoring
Actuators Decision Execution Processing

19. #8 Tools
https://sg.rs-online.com/web/p/tool-kits/7348885/

20. © National University of Singapore. All Rights Reserved.
Tools
• The humble Microsoft XL
• Big Data needs a different set of tools
• Data cleaning – R, Python, SQL
• Software tools to implement
• Dashboarding tools

21. #9 Recruitment
https://theriveter.co/voice/what-to-not-tell-about-yourself-interview/

22. © National University of Singapore. All Rights Reserved.
Data
Scientist
Predictive
Modelling
Ideal Data scientist
is T shaped
Data
Engineer
Big Data
Engineering
Ideal Data Engineer
can implement end
to end systems
Data
Visualizer
Data Story telling
Ideal Data
Visualizer can
create visual magic
Data Driven
Domain Expert
Solution Perspective
Ideal Doman Expert
can deliver ROI
Analytics professionals come in different shapes
Domain Experts
Implementation
specialists
Software
developers

23. © National University of Singapore. All Rights Reserved.
Bad news and good news
• Robots will replace
automatic mundane
jobs
• AI will automate a lot
of “intelligence” in jobs
too
• Current skills will
become obsolete
• This is a phenomenon
affecting the whole
world
• New categories of jobs will emerge
• Engagement with AI systems
• Development of AI systems
• Supervision of AI systems
• Response to Paradigm Shifts

24. #10 Crossing
the chasm
s://constructionexec.com/article/crossing-the-chasm-a-closer-look-at-disruptive-technology-in-construction

25. © National University of Singapore. All Rights Reserved.
Teamwork is essential
• Business Users, Analytics folks and IT folks see different parts of the
picture
https://fs.blog/elephant/
• Make sure you see each of
their perspectives

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Day 2 Programme