MA Nang Laik

Assistant Professor of Information Systems (Practice)

Programme Director, MITB (Analytics)

Leading Business with Data

1

Outline

1. Big Data Revolution

2. Why Master of IT in Business (Analytics) ?

2

What is Analytics ?

Analytics is the

extensive use of data,

statistical and quantitative analysis, explanatory and predictive models,

and fact-based management to

drive decisions and actions.

~ Thomas H. Davenport

Competing on Analytics: The New Science of Winning

3

Who uses analytics and for what

• Retail

• Healthcare

• Telco

• Financial Services

• Hospitality

• Airline

4

Word Cloud for Analytics

5

Big Data Revolution

10/28/2013 6

• Massive data from websites, call centers, operations, computerised point-of-sales (POS), smartphone, etc

BIG DATA

• Technological advancements have enabled data collection and storage easily.

• Social media such as Twitter & Facebook has provided new channels for data collection

As a result, we have moved to the age of ……

The Next Big Thing

10/28/2013 7

“Big Data and Analytics would be the next big thing in Business for the next ten years. It would revolutionise business and its functions. Any institutions who start working on using Big Data, can achieve significant competitive advantage.”

Thomas.H.DavenportPresident’s Distinguished Professor in

Information Technology and Management at Babson College,

Director of Research at the International Institute for Analytics,

Senior Advisor, Deloitte Analytics

BIG DATA –

The next frontier for innovation, competition, and productivity

“Be an analytics professionalbuilding competitive strategies.”

What are the Challenges ?

60% of staffs from large firms lack skills and know-how’s to make effective decisions (Corp Exec Bd 2011)

U.S. needs 140,000 to 190,000 ‘deep’ Data Analysts (McKinsey Global Institute 2011)

Top ‘Big data’ investment targets : security, CRM, finance, ERP, mobility (CIO Insight 2011)

10

Analytics Professionals – The Sexiest Job!

Data Scientist: The Sexiest Job of the 21st

Century

The shortage of Data Scientist is becoming a serious constraints in some sectors.

Demand for Analytics Professionals

10/28/2013 11

• Infocomm Development Authority of Singapore (IDA) has identified Data & Analytics as a key driver for Singapore’s Economy.

• IDA launched initiatives to encourage companies to adopt Analytics and provide grants to groom local pool of Analytics Talents.

10/28/2013 12

In Budget 2013, the Government said it wants to develop a pool of 2,500 analytics professionals over the next five years.

Demand for Analytics Professionals

Source : http://www.asiaone.com/News/AsiaOne%2BNews/Business/Story/A1Story20130321-410189.html

According to Deloitte, big

data is US$1 trillion industry.

Career as an Analytics Professional

10/28/2013 13

Job Roles Organisation

Data Analytics Lead Consultancy Firm

Data Analytics Business Analyst Insurance

Data and Analytics Manager Gaming Company

Digital Marketing Data Analytics Digital Advertising Agency

Senior/Lead Analyst (Analytics) Public Service

Senior Consultant (Health Analytics) Healthcare

Senior Vice President (Customer Analytics) Bank

Manager, (Media Analytics) Marketing consulting company

Manager, Supply Chain Analytics Logistics company

Team Lead, Consumer Credit Risk Bank

Team Lead, Operational Risk Financial Institute

Online Marketing Campaign Manager Internet/Search Engine Company

Senior Manager (Analytics Consulting) Software Solutions Firm

Salary Guide - US

10/28/2013 14

Source: http://www.analyticbridge.com/group/salary-trends-and-reports/forum/topics/how-much-does-a-data-scientist-make-at-facebook

10/28/2013 15

Source: http://www.analyticbridge.com/group/salary-trends-and-reports/forum/topics/kdnuggets-salary-survey-for-data-miners-data-scientists

Salary Guide - Globally

10/28/2013 16

Source: Hays Salary Guide 2013

Job Role Annual Salary Range (SGD ‘000)

Data Architect 95 – 160

Database Administrator 80 – 150

Data Modeller 110 – 180

Data Warehouse Consultant 90 - 170

Data Analyst 80 – 140

Business/Process Analyst 110 – 150

Salary Guide - Singapore

Outline

1. Big Data Revolution

2. Why Master of IT in Business (Analytics) ?

10/28/2013 17

10/28/2013 18

•MITB programme – started in 2007 with Financial Services track

•Analytics track launched in Jan 2011

•Jan 2014 : Fifth intake

•Integrates IT, Business and Data Analysis skills

•First Master Degree in Asia to focus on Business Analytics

•Strong partnership with leading industry practitioners.

MITB (Analytics) – at a glance

Board of Advisors

20

Industry Collaboration and Partnership

What our industry partners say

21

Data Analytics is the next big thing in business.

“Data can be a lazy asset and is often undervalued – finding ways to help business organise and better understand all of the data they capture, will help them make better business decisions, reduce risks and improve returns. There are oceans of data being amassed by companies but only islands of insights. Data can give clients best practice and benchmarking information, as well as providing predictions for business trends. A lot of corporations have well organised data repositories, and some have an analytics capability, but few have the capability and bandwidth to combine both and apply it to specific business issues. SMU’s new programme will develop professionals who will truly be part of the next big thing in business.”

Tim PHILLIPPS Global Leader – Deloitte AnalyticsExecutive Sponsor – Deloitte Analytics Institute | Asia

10/28/2013 22

The Curriculum in a Nutshell

World Class Faculty

• Our faculty have many years of industry experience.

10/28/2013 23

Bridging Academic & Industry

Student Demographics (Intake Aug 2013)

25

Where are our graduates now ?

•Our graduates have found Analytics jobs within a few months upon graduation

•Companies : Maxus Global, Google, Facebook, Fractal Analytics, Tata Consultancy Services, Apple, Deloitte….

26

Cally OngMITB (Analytics), AY2011 IntakeBusiness Analyst, Fossil Singapore Pte LtdRecipient of SAS Scholarship, 2012

“The programme provides an opportunity for

students to work on critical business issues. As a

business analyst in the retail industry, this

programme has provided me with the exposure and

relevant knowledge to pursue my long-term career

in this area.”

27

“Business analytics will be a growing field in the coming years, since most companies do not exhaust all possibilities. Since SMU is the first university in Asia which offers a Master's degree programme that addresses this topic, I am sure that I will receive a high quality education. Additionally, SMU's focus on leadership and communication skills as well as the clash of different cultures in Singapore, and especially on the campus, led to my decision to join MITB.”

Lukas Valentin WELLINGERMITB (Analytics), AY2012 intakeIntern at IBM

Why they choose MITB (Analytics)

Example of Capstone project

• Problem description:

• SMS appointment reminders

• High volume of “no shows”, as patients contacted via SMS do not turn up for their scheduled appointments

• “No shows” have a high impact on

– longer appointment lead time for others

– poor patient satisfaction

– loss of revenue for hospital

28

Objective:

Identify any pattern of “no shows” from current data

Develop a statistical model to predict the probability of “no shows”

Suggest strategies for possible reduction of “no shows”.

29

Scope of Work

To provide the staff an easy way of visualizing and interacting with the data and thereby assist in the decision making process

Phase 1:Dashboard

Phase 2: Predictive Modeling

To predict which kind of appointments will have higher probability of no show

Who are likely to miss their appointments & what is their profile?

Dashboard view of “no show” profile

Dashboard view of visit status across functional areas

Analytics Methodologies

6 Months Data (Sept 2011- Feb

2012)

Training & Test Data

(Sept 2011-Feb 2012)

Logistic Regression Compare

Models

Decision TreeNo Show

Probabilities

Decision Tree

Validation Data (Jan 2012- Feb

2012)

• Bivariate Analysis• Categorical Response Analysis• Logistic Regression

• Decision Tree

34

Examples of Capstone Projects

Industry Description

Market Research Using online Twitter data to analyze and improve on Credit Card offerings.

Theme Park Using past data to devise statistical model to predict the sequence of visiting the different parts of the theme park by different visitor segments.

Foreign Bank Using fuzzy logic to recommend the next call marketing action. (i.e. when to make the next call)

Software Vendor Understanding Brand Reputation through Twitter Data.

Sea Port Operator Using past data to optimize Ship Berths allocations.

Course Structure and

Administrative Matters

10/28/2013 35

Master of IT in Business Programme (MITB) Courses

10/28/2013 36

A. Banking

Technology & Operations

B. Analytics

Technology & Applications

C. Information Technology

Management

D. General Management for

Technology & Operations

A.1 Banking Products &

Processes

A.2 Retail Banking Technology &

Operations

A.3 Corporate Banking

Technology & Operations

A.4 Financial Markets Technology

& Operations

A.5 Trading Technology &

Operations

A.6 Payment Technology &

Operations

A.7 Assets Management

Technology & Operations

A.8 Lifecycle Implementation of

Banking Products

A.9 FS Operational Risk I:

Foundation & Framework

A.10 FS Operational Risk II:

Technology, & Systems

B.1 Analytics Framework &

Business Context

B.2 Data Analytics Lab

B.3 Customer Analytics &

Applications

B.4 Operations Analytics &

Applications

B.5 Cloud and Big Data Analytics

B.6 Visual Analytics &

Applications

B.7 Text Analytics & Applications

B.8 Social Analytics &

Applications

B.9 Mobile Analytics &

Applications

B.10 Business Analytics

Practicum

C.1* Innovation Management

C.2 Spreadsheet Modeling for

Technology & Operations

Decisions

C.3 IT Project & Vendor

Management

C.4 Global Sourcing of

Technology & Processes

D.1A* Financial Accounting for

Financial Services

D.1B* Financial Accounting for

Service Sector Analytics

D.1C* Management Accounting

for T&O Managers

D.2 Strategy & Organisation

D.3 Finance for T&O Managers

D.4* HRM for Technology &

Operations Managers

E. Capstone Project

2.0 course units

* 0.5 course unit

Bold = Offered from Jan 2015 onwards

37TOTAL = 13 course units

Available courses Course Requirement

Financial Services Track

38TOTAL = 13 course units

Available courses Course Requirement

Analytics Track

Capstone Project and Job Attachments

• Sponsoring company sourced by SMU; or student-proposed companies

• Full-time students : Capstone Project with job attachment (duration : 6 months)

• Part-time : work on project offline

40

Academic Calendar

Jan

2014

Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Term 2A (7 weeks)

Term 2B (7 weeks)

Term 1A (7 weeks)

Term 1B (7 weeks)

Term 3A (7 weeks)

Term 3B (7 weeks)

You will join us here.

41

Course Structure

TypeCourse Units

Total no. of lessons

Lesson frequencyCourse duration

1 0.5 7 Once a week 7 weeks

2 1.0 14 Twice a week 7 weeks

3 1.0 14 Once a week 15 weeks

Each lesson is 3.5 hours

Weeknights 7pm to 10.30pm

Saturday AM 9am to 12.30pm

Saturday PM 2pm to 5.30pm

Monthly SeminarsWeeknights7pm to 9pm

42

Jan

2014

Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Term 2A (7 weeks)

Term 2B (7 weeks)

Term 1A (7 weeks)

Term 1B (7 weeks)

Term 3A (7 weeks)

Term 3B (7 weeks)

Typical Full-time Study Load

|

2 CU

Capstone Project (2 CU)

|

2 CU

|

2 CU

|

2 CU

|

1 CU

|

2 CU

Maximum Candidature : 2 yr 8 mth

43

Jan

1st year - 2014

Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Term 2A (7 weeks)

Term 2B (7 weeks)

Term 1A (7 weeks)

Term 1B (7 weeks)

Term 3A (7 weeks)

Term 3B (7 weeks)

Typical Part-time Study Load

|

1 CU

|

1 CU

|

1 CU

|

1 CU

|

1 CU

|

1 CU

Jan

2nd year - 2015

Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Term 2A (7 weeks)

Term 2B (7 weeks)

Term 1A (7 weeks)

Term 1B (7 weeks)

Term 3A (7 weeks)

Term 3B (7 weeks)

|

1 CU

Capstone Project (2 CU)

|

1 CU

|

1 CU

|

1 CU

|

1 CU

Maximum Candidature : 4 yr

44

MITB

General

Track

Financial

ServicesAnalytics

Dual Track

MITB – the options

• Develop students into the business, community and government leaders of the future.

• 3 pre-scheduled Saturdays, comprises of seminars, workshops, competitions, excursions and social activities.

• Expand network by interacting with students from different SMU postgraduate programmes.

• A graduation requirement

10/28/2013 45

Professional Development Series

Career Counseling

Corporate Outreach

Career Events

Workshops

Career Resources

Career Services

Scholarships - for Singaporeans

10/28/2013 47

Scholarship Funding Track

MAS Finance Scholarship Program (FSP)

Up to 70% FS only

WDA ICT-STEPScholarship

Up to 90% of tuition fees (non-GST portion)

FS & AT

Scholarships – Singaporean & Foreigners

10/28/2013 48

Scholarship Amount Track

SAS Scholarship $7,500 FS & AT

MITB Scholarship $5,000 - $7,500 FS & AT

TCS-SMU iCity $10,000 AT

Alexandra Health’s T-Lab$7,500

AT

Eastern Health Alliance$7,500

AT

DHL-SMU Green Transformation Lab

$7,500AT

• Admission Criteria

– A good Bachelor’s Degree

– 1 to 2 years of work experience is preferred.

– 2 referees

– GMAT

– Admission interviews will be conducted for short-listed candidates

• Programme fees: S$42,000 inclusive of GST

– Payable over three installments

– $2,000 discount if paid in full upfront

– SMU alumni and fast-track students – 10% off

Dual Track : Additional fees of S$23,000

49

Admission Matters

Application Process

10/28/2013 50

•Apply online at smu.edu.sg/MITB

•Usually, you will hear from us within a week working days after online submission

•Admission interview in 1 ~ 2 week’s time.

•Application outcome typically within 3 working days after the admission interview

You can apply first while waiting to do your GMAT test.Get conditional admission, while pending GMAT score submission.

Join us now !