Business and Data Analytics
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RISE 2.0 Introduction
Programme Logistics
Why Business and Data Analytics?
BDA Course Overview
BDA Course Details
Career Support
About Us
Contact Us
1
RISE 2.0 Introduction
2
RISE 2.0 — Unique SSG SCTP digital
skilling programme by BCG
Majority funded programme designed to help individuals
reskill into new digital career paths or upskill in their
current role
Learn high-demand "biz-tech" skills from BCG
practitioners and industry experts with real company
projects and experiences
3 digital specialisations, on
top of core business skills
Business and
Data Analytics
Build T shaped skills profile
• Core critical skills e.g. structured problem solving,
business communications, agile, data foundations &
tools, innovation
• 3 Specialised digital skills pathways
Digital Sales
and Marketing
Specially tailored dual tracks (10-12 and 18-21 week
course durations) for both unemployed and fully
employed professionals
Digital Transformation
and Change
Management
Career support provided with proven track record - up to
75% job placement across RISE1.0 batches
3
Building both digital skills and business skills: "biz-tech" skilling
programme focusing on what employers/industry want
RISE with
RISE 2.0:
Key design
principles that
differentiate the
programme
Focus on application based learning, real life projects to add to
your CV
Augmenting not just knowledge and skills but also building agile
and resilient mind set
Best-of-breed learning content from BCG research, perspectives
and global project experience vs theoretical concepts
Specially tailored dual tracks for both full-time and part-time
class scheduling with job placement support
Up to 95% subsidized course leading to a DigitalBCG certification
4
Each participant selects one of the three
specialisations offered
Three digital
specialisations
themesdesigned based
on quantitative
and qualitative
labour market
insights
Business and data
analytics
Description
Duration
Key target
job roles as
course
outcome
Types of
candidates
we are
looking for
Digital sales and
marketing
Digital transformation
& change management
• Learn the best-in-class
tools and approaches
used in data analytics
for business
• Learn fundamentals of
digital marketing and ecommerce
Future runs to offer B2B sales
specialisation
• Learn to lead digital
transformation
strategies & approaches
from the best experts in
the industry
• Full time – 12 weeks
• Part time – 21 weeks
• Full time – 10 weeks
• Part time – 18 weeks
• Full time – 10 weeks
• Part time – 18 weeks
• Data Analyst, Business
Insights Analyst, Data
Visualisation Analyst,
Dashboard Developer
• Digital marketers,
digital sales executive,
e-commerce and
business development
• Business Manager (with
digital understanding),
Internal Transformation
Consultant, PMO Manager,
Change Manager, Business
Analyst, IT Project Manager
• More suitable for those
with at least some
programming exposure
• STEM background a plus
• Good logical/numerical
ability could
compensate background
• Friendly for people
without relevant
background
• Sales, mktg and creative
profiles a plus
• Mid-career (>5 yrs)
friendly
• Requires >4/5 years of
experience in
managerial positions
and/or IT department
• Experience in MNC/LLC
5
a plus
Holistic programme construct combining skill, career and
leadership development to drive lasting enablement and success
Not
included
within BDA
Course
Introductions,
setting
expectations,
understanding
yourself as
a learner
Business
essentials
Digital
essentials
Build business
fundamentals
(Hard and
soft skills)
Learn
fundamentals
of digital and
technology
Digital
hackathon*
Apply & embed
foundation skills
to solve real
industry
problem and
present your
solution
Digital Specialization
Core skills and tools required for the respective
specialization: choose 1 from 3 specializations offered
• Business and data analytics
• Digital sales and marketing
• Digital transformation and change management
Capstone
Real project
from industry
that uses all
concepts and
skills covered
Career Development Journey
Leadership and Personal Development Journey
*Note: For some specialisations, the hackathon will be replaced by content and learning for the digital specialisation portion
1
Copyright © 2021 by Boston Consulting Group. All rights reserved.
Orientation
High
demand for
the RISE1.0
course
High trainee
satisfaction
Significant RISE
impact being felt
on the ground
Positive
placement
outlook
1. Based on learner surveys collected for the first 7 waves of RISE participants across specializations
10K+
1740 vs 1200
Number of applications
Trainee positions
extended due to high
demand
4.5/5
93%
Rated overall program &
outcomes as
satisfactory1
Rated RISE program
services above 4 on 51
Up to
75%
Placement across
batches
110+
Corporate and recruiter
partnerships with 318+
jobs officially on portal
7
▪ Singapore Citizens, Permanent Residents or Long Term Visit Pass Plus
(LTVP+) holder
What you
need to
know:
minimum
eligibility
▪ Aged 21 years and above
▪ Minimum diploma or bachelor’s degree holder
▪ Basic literacy in operating a computer and browsing the internet
▪ Not currently residing overseas
8
Programme Logistics
9
Full Course Fee = S$12,000
Rise by BCG – Calculator
To estimate course fees
Applicable Subsidy: Up to 95%, which can be further offset by
SkillsFuture credits of up to S$1500!
Estimated
course fee &
subsidy
Subsidy Level
Estimated fee payable
Eligibility
95% Subsidy
S$888*^
90% Subsidy
S$1488*^
• Singapore Citizen; AND
• Long-term unemployed individuals
(unemployed for 6 months or more)
OR
• Recipients of ComCare, Short-toMedium Term Assistance (SMTA)
recipients or Workfare Income
Supplement (WIS) OR
• Persons with disabilities
• Singapore Citizen; AND
• Aged 40 and above
70% Subsidy
S$3888*^
• Singapore Citizen or Permanent
Resident or Long Term Visit Pass
Plus (LTVP+) Holder
*Prices stated includes GST
GST will be charged on the nett course fee after the base subsidy but before enhanced subsidies
(E.g. Mid-career enhanced subsidy, Additional Funding Support subsidy)
^Prices may be subject to change
10
Mid
September
2022
What you
need to
know:
timeline for
the program
launch
Classes commenced for first part time
batch September 19th
Oct 2022 to
Q1 2023
Additional batches launched, with
now more than 600 learners enrolled
Q2 2023
onwards
Registrations open for future batches
Next open BDA PT batch scheduled
for end May 2023
11
Why Business and Data
Analytics?
12
Data analytics identified as important enabler for Singapore's
move to become a Smart Nation by improving productivity,
competitiveness and growth of businesses and government
Data analytics
is critical to
Singapore’s
growth
ambitions!
$1B
EDB's estimations of contribution of data analytics industry to
Singapore's economy
Singapore is destination of choice for high impact big data
projects. For e.g., Facebook's $1.4B data center, Alibaba's
first joint research institute outside China
54%
Of employers surveyed in Singapore are hiring talent for data
analysis roles2
Source: 1. Workforce Singapore 2. NTUC Learning Hub
13
Data analytics skills highly valued; Applicants with these
skills offered 12-14% increment vs peers
Data analytics monthly salaries in Singapore
Key comments
(Jun'22)
Job roles
Seniority
Data analytics
experience
(in years)
Data Analyst
Functional
Analyst
Entry level
0–3
SGD 4k – 6k
SGD 5k – 7k
Associate
3–5
SGD 6k – 8k
SGD 7k – 9k
Mid/senior level
5–8
SGD 8k – 10k
SGD 9k – 11k
"On average, applicants with data analytics skills receive a
12 – 14% higher compensation package vs. peers with similar
experience but without analytics skills"
- Salt Digital Recruitment Agency
Salaries listed are indicative –
depend on credentials, experience
and interview performance
Functional analyst pay slightly higher
than data analyst as candidates bring
in functional expertise too
(For e.g. knowledge of HR processes)
Pay gap between the 2 tracks (data
analyst and functional analyst)
narrows with seniority
14
4 common mid-career transition pathways into data roles–
RISE 2.0 can help you with 2 of them!
I
II
III
Mid Career PMET1
to Functional
Analyst/Manager
Typical
starting point
•
•
•
Coding Experience
Yrs. of Experience
Past Experience
Target Job
Outcome
•
Key Success
Factors
•
•
Early/Mid Career
Professional to
Data Analyst
No
3 to 10+ years
Traditional/Non-Data
Functional Analyst/Manager
Project experience in industry
relevant use cases
Structured problem-solving
Ability to solve specific business
function's problems with
analytics
IV
•
•
•
•
•
•
Data Analyst to
Data Scientist
No
<7 years
Traditional/Non-Data
Data Analyst
Structured problem-solving
Clear Technical & case
study interview rounds
Analyze and solve key business
questions using employers'
preferred analytics tools
Early Career Data
Scientist to a
Consultant Data
Scientist
•
•
•
Yes
<5 Years
Data & analysis focused
Data Scientist
•
•
•
•
•
•
Yes
<5 years
Analysis & Statistical
modelling focused
Consultant Data Scientist
Structured problem-solving
Ability to guide the business no how to get value from Data Scienceconnect analytic techniques to business problems and
build the solution
Clear Technical & case study interview rounds
Focus of RISE BDA 2.0 program
1. Professionals, Managers, Executives and Technicians
15
BDA Course Overview
16
BDA Overview of Learning Journey
Orientation
IU 1.0
Business
Essentials
IU 2.0
Digital
Essentials
Instructional Unit / IU 3.0
Business and Data Analytics Core
Part I: Excel, SQL, PowerBI
IU 4.0
Capstone
Part II: Tableau, Python, ML
Career Development Journey: 5 Career Spotlights + 4 Career Buddies
Leadership and Personal Development Journey: Networking + Enrichment Sessions
17
You will develop expertise across the data analytics
problem solving framework in BDA core
Illustrative
Business
Understanding
Data
Understanding
Data
Preparation
Build
Solution
• What is the
question you are
trying to answer?
• What data
sources are
available?
• What are the
trends in data
(hypothesis
testing)?
• What type of
solution will be
required –
retrospective ,
predictive etc. ?
• What is the
business
success criteria?
• What is the
quality of
available data?
• What
calculations
need to be done
to enhance data?
• How to ensure
model quality ,
robustness ?
Communicate
Results
• How to present
results in a
compelling story
for the business?
Deploy
• How to deploy
and automate
the entire data
analytics
workstream?
Iterate
18
Full range of learning outcomes and topics covered
Learning outcomes
Topics covered
1.
1.
Strengthen foundations of digital and
business essentials via structured problem
solving, digital use cases and business case
development directly from BCG’s own
toolkits
2.
2.
Develop expertise across lifecycle of all
things data, from data preparation, data
analytics, data visualization to the
essentials of machine learning
3.
3.
Gain familiarity with the most widely used
data analytics tools like Excel, SQL,
PowerBI, Tableau and Python
4.
Embed and apply all your learning in a
Capstone project, where you will solve a
real business problem for an organization
5.
Prepare for a career in data analytics
through mock technical interviews,
industry projects, career counselling and
mentoring!
4.
5.
Business and Digital Essentials
a. Structured Problem Solving
b. Business case development
c. Business communication
d. Digital and technology landscape
Data Preparation and Analytics
a. Excel foundations
b. SQL foundations and expertise (functional or technical pathway)
c. SQL function specific industry projects and technical test/interview preparation (functional or
technical pathway)
Data Visualization
a. PowerBI foundations
b. Adapt PowerBI skills to Tableau
c. PowerBI function specific industry project
d. PowerBI/Tableau technical test/interview preparation
Statistics and Machine Learning
a. Introduction to Statistics
b. Introduction to Python
c. Implementing statistics and interpreting results in Python
d. Statistics & Python technical test and interview preparation
Machine Learning
a. Foundations of Machine learning with Python (functional or technical pathway)
b. Machine learning industry project and technical test preparation (functional or technical pathway)
19
BDA Course Details
20
BDA 2.0 offers specialist tracks that align with the
typical data analytics job categories
Typical data analytics job categories
Data
analyst
Role: Identify key metrics across org; prepare
reporting dashboards
Skills required: Structured problem solving,
Hands-on knowledge of data analytics tools
Rise 2.0 specializations
Course highlights:
DA track
Role: Support functional leadership with datadriven decision making
Functional
analyst/
Skills required: Structure problem solving,
manager
Functional expertise, Application of data
analytics to functional use cases
• Business & digital foundations
• Advanced data analytics courses
• Preparation for technical interviews and
technical tests for analytics tools
Course highlights:
FA/M track
• Business & digital foundations
• Data analytics foundation
• Function specific analytics projects
21
May be subject to change
RISE 2.0 overall learning journey - BDA
Construct between full-time and part-time is the same
M1: 80 hrs
Build business
fundamentals
(Hard & soft skills)
Orientation
Business
essentials
Course Introductions, setting
expectations, understanding
yourself as a learner
DA
Track
FA
Track
M3:
40 hrs
M2: 80 hrs
Intro to core digital
specialisation skills
Digital
essentials
Digital
Specialisation
intro
Core skills and tools
required for the
respective specialization
Digital Specializations
Learn fundamentals of
digital & technology
Capstone
Real project from industry
that uses all concepts and
skills covered
Synchronous1
61.5 hrs
62.5 hrs
34 hrs
Asynchronous1
16 hrs
14 hrs
0 hrs
Assessment2
2.5 hrs
3.5 hrs
6 hr
Synchronous1
64 hrs
59 hrs
34 hrs
Asynchronous1
16 hrs
14 hrs
0 hrs
Assessment2
0 hrs
7 hrs
6 hr
1. Training hours include live classes, project work, assignments, pre reading and e learning 2. Assessment hours include weekly quizzes and final project presentations
Note: *Estimated breakdown of hours allocated for capstone project work
BCG may adapt the curriculum to make it further relevant for learners as per the latest skill requirements from prospective employers
22
May be subject to change
Module 1: BDA (Data Analyst track)
9 hrs
Orientation
11 hrs
1
Business essentials
Structured Problem
Solving
Topics/
Skills
Tools
1. Program overview
2. Growth mindset
3. Transforming your
leadership
4. Owning your career
5. Your learning style
6. Networking
7. Team building &
Virtual
collaboration
1. Structured problem
solving concepts:
SCQ, Hypothesis Tree
2. Defining the real
problem
3. Ideating creatively
and effectively
4. Formulating
hypotheses
5. Structuring
• DISC assessment
• HireQuotient
(workstyle)
Caseybot Simulation
• Forio Mount Everest
Exercise
simulation
(Structured
• LMS & VC tools
Problem Solving)
Business Communication
10 hrs
2
50 hrs
Digital essentials
Disruptive Technologies
Reshaping our World
Introduction to
BDA
AI & Data Analytics
1. Pyramid Principle
2. Story lining & slide
writing
3. Effective presentations
4. Translating hypotheses
into a clear and
compelling story
5. Delivering the “so what”
in a powerful way
6. Facilitating the right
discussion
1. Disruptive Technologies 1. Introduction to
2. "Now" Tech: Cloud
Artificial
computing, Internet of
Intelligence and
Things and Artificial
Machine Learning
Intelligence
2. Introduction to data
3. "Emerging" Tech:
analytics
Blockchain, AR/ VR,
3. Digital
Metaverse
Transformation
4. "Horizon" Tech: Quantum
simulation: Digital
Computing
initiatives, enablers
and capabilities
4. Enrichment Session
(Self-Reflection)
• PowerPoint
• Digital toolkit (eg Real
BCG use cases and
vignettes, Industrial
example videos)
• Digital Accelerator
Challenge
• Digital toolkit (eg Real
BCG use cases and
vignettes, Industrial
example videos)
Note: *Estimated breakdown of hours allocated for capstone project work
BCG may adapt the curriculum to make it further relevant for learners as per the latest skill requirements from prospective employers
1. Data Analytics with
Excel
2. Data Analytics with
SQL
3. Data Visualization
with PowerBI:
Basic data
management, data
modelling, data
analysis
expressions (DAX),
advanced
visualisation,
creating
dashboards, data
storytelling
4. Career Spotlights:
Career goals,
networking and CV
curation for target
roles
23
May be subject to change
Module 2 and 3: BDA (Data Analyst track)
9.5 hrs
18 hrs
31 hrs
21.5 hrs
40 hrs
Data Visualization with
Tableau
Data Analytics with Python
Part 1
Data Analytics with Python
Part 2
Machine learning with
Python
Capstone
1. Comparison of Power BI and
Tableau
2. Foundations of Tableau Desktop
3. Working with Data in Tableau
4. Advanced Visualizations in
Tableau
1. Python basics
1. Fundamentals of descriptive
2. Data operations
analytics
3. Conditional statements and
2. Distributions, Estimator & Estimates,
functions
Confidence intervals
4. Error Handling and File operations 3. Hypothesis testing
4. Regression analysis
5. Data science overview
6. Data analytics overview
7. Statistical Analysis and Business
Applications
8. Python Environment setup
9. Numpy, Scipy, Pandas, Matplotlib
1. Introduction to Artificial
Intelligence and Machine Learning
2. Data Wrangling and Manipulation
3. Supervised Learning
4. Feature Engineering
5. Supervised Learning Classification
6. Unsupervised Learning
7. Ensemble Learning
8. Recommender Systems
9. Machine Learning projects
Real project from
industry that uses
all concepts and
skills covered
Common challenges / Optional advanced topics / Career panel / Coaching
Guest lectures / Masterclasses (Use cases)
Note: *Estimated breakdown of hours allocated for capstone project work
BCG may adapt the curriculum to make it further relevant for learners as per the latest skill requirements from prospective employers
24
May be subject to change
Module 1: BDA (Functional Analyst track)
9 hrs
Orientation
11 hrs
1
Business essentials
Structured Problem
Solving
Topics/
Skills
Tools
1. Program overview
2. Growth mindset
3. Transforming your
leadership
4. Owning your career
5. Your learning style
6. Networking
7. Team building &
Virtual
collaboration
1. Structured problem
solving concepts:
SCQ, Hypothesis Tree
2. Defining the real
problem
3. Ideating creatively
and effectively
4. Formulating
hypotheses
5. Structuring
• DISC assessment
• HireQuotient
(workstyle)
Caseybot Simulation
• Forio Mount Everest
Exercise
simulation
(Structured
• LMS & VC tools
Problem Solving)
Business Communication
10 hrs
2
50 hrs
Digital essentials
Disruptive Technologies
Reshaping our World
Introduction to
BDA
AI & Data Analytics
1. Pyramid Principle
2. Story lining & slide
writing
3. Effective presentations
4. Translating hypotheses
into a clear and
compelling story
5. Delivering the “so what”
in a powerful way
6. Facilitating the right
discussion
1. Disruptive Technologies 1. Introduction to
2. "Now" Tech: Cloud
Artificial
computing, Internet of
Intelligence and
Things and Artificial
Machine Learning
Intelligence
2. Introduction to data
3. "Emerging" Tech:
analytics
Blockchain, AR/ VR,
3. Digital
Metaverse
Transformation
4. "Horizon" Tech: Quantum
simulation: Digital
Computing
initiatives, enablers
and capabilities
4. Enrichment Session
(Self-Reflection)
• PowerPoint
• Digital toolkit (eg Real
BCG use cases and
vignettes, Industrial
example videos)
• Digital Accelerator
Challenge
• Digital toolkit (eg Real
BCG use cases and
vignettes, Industrial
example videos)
BCG may adapt the curriculum to make it further relevant for learners as per the latest skill requirements from prospective employers
1. Data Analytics with
Excel
2. Data Analytics with
SQL
3. Data Visualization
with PowerBI:
Basic data
management, data
modelling, data
analysis
expressions (DAX),
advanced
visualisation,
creating
dashboards, data
storytelling
4. Career Spotlights:
Career goals,
networking and CV
curation for target
roles
25
May be subject to change
Module 2 and 3: BDA (Functional Analyst track)
7 hrs
19 hrs
26 hrs
28 hrs
40 hrs
Data Visualization with
Tableau
Data Analytics with Python
Part 1
Data Analytics with Python
Part 2
Machine learning with
Python
Capstone
1. Comparison of Power BI and
Tableau
2. Foundations of Tableau Desktop
3. Working with Data in Tableau
4. Advanced Visualizations in
Tableau
1. Python basics
1. Fundamentals of descriptive
2. Data operations
analytics
3. Conditional statements and
2. Distributions, Estimator & Estimates,
functions
Confidence intervals
4. Error Handling and File operations 3. Hypothesis testing
4. Regression analysis
5. Data science overview
6. Data analytics overview
7. Statistical Analysis and Business
Applications
8. Python Environment setup
9. Numpy, Scipy, Pandas, Matplotlib
1. Introduction to Artificial
Intelligence and Machine Learning
2. Data Wrangling and Manipulation
3. Supervised Learning
4. Feature Engineering
5. Supervised Learning Classification
6. Unsupervised Learning
7. Ensemble Learning
8. Recommender Systems
9. Machine Learning projects
Real project from
industry that uses
all concepts and
skills covered
Common challenges / Optional advanced topics / Career panel / Coaching
Guest lectures / Masterclasses (Use cases)
BCG may adapt the curriculum to make it further relevant for learners as per the latest skill requirements from prospective employers
26
May be subject to change
Summary: BDA 2.0 core details – Business and technical core
modules supported by track specific coursework and group projects!
BE/DE
Path Selection
Data essentials
Business
essentials
Core modules
~180 hours1
Digital
essentials
Basic analytics
Excel
foundations
Learning in fastpaced fields
Data preparation
SQL
foundations
SQL industry
project
Data career seminar
& course pathway
briefing
Data visualization
Statistics (Python)
PowerBI foundations
Statistics refresher
PowerBI industry project
Python foundations
Adapting PowerBI
learnings to Tableau
Python group
project
Function specific
PowerBI exercise
(Individual)
Function specific
Python exercise
(Individual)
Machine Learning
Machine learning
foundations
Capstone
Industry
project
Pathway selection
FA/M
specialization
Function specific
Excel exercise
(Individual)
Function specific
Excel exercise
(Individual)
Function specific
machine learning
project (Group)
~20 hours1
DA
specialization
SQL Technical
Test preparation
Tableau group project
~20 hours1
Supporting
material
Technical test prep for
PowerBI and Tableau
Technical test prep
for Python
Mock technical
interview prep
Machine learning
advanced concepts
Mock
test
prep
Industry project
Technical test prep
Repository of mock-technical interview recordings
Links to external trainings and packages for more in-depth, self-learn projects
Library of mini project packages (covering multiple Industries and functions)
1. Excludes time spent for preparation, homework, groupwork, clinics and optional e-learnings
27
4 phases learning cycle
•
•
•
•
E learning modules
Reading materials
Live classes
Assessment quiz
•
•
•
•
Live workshops
Role plays
Practise exercises
Digital simulations
Your learning
model
• Group coaching
• Reflection
• Course feedback
•
•
•
•
Toolkit
Group assignments
Tutorial clinics
Masterclass
28
Your trainers and facilitators for BDA
Nelson Liu
Lead Trainer - RISE,
DigitalBCG Academy
• ACTA Certified Trainer &
Assessor with more than 7
years experience in adult
education
• Specialises in Data
Visualisation, Programming
in Analytics, Data Wrangling
and Machine Learning
• Developed analytics
solutions for various
industry clients in diverse
functional areas
Amitendra Kumar
Consultant Trainer,
Simplilearn
Amit Goyal
Consultant Trainer,
Simplilearn
• Training consultant; ACTA
Certified
• Business Intelligence and
Data Science practitioner
• 14 Years of corporate
training experience
• 11 Years of corporate
training experience
• Specialties in MS Excel,
SQL, Python, Data
Analysis, Machine
Learning & AI
• Specialties in Excel, Power
BI, Tableau, SQL
• Created video recorded and
text content for the
different subjects
29
Career Support
30
INDUSTRY NETWORK
AND PEER MENTORSHIP
SECURE JOB
PLACEMENT
• Meet practitioners from
industries to learn about the
industry specific trends, talent
needs and working experience
• Peer mentorship and network,
and “Find a buddy” program
BOOST
INTERACTIONS
WITH COMPANIES,
AND TURBOCHARGE
APPLICATIONS
BUILD LEARNER
CONFIDENCE
• CV workshop and application
screening review
• Interview workshops
• 1 on 1 Career coaching
• Establish your LinkedIn brand
• Multiply your social network
• Set job hunting rhythm
SET CAREER
GOALS
• Job portal with opportunities
from RISE partner employers
and BCG network
• Connection to recruiters
• Recruiting events with
company presentations,
Q&A, and speed interviews
Reflect on pivot
RISE
Day 1
31
Overview of Career Sessions
During RISE program
Career Spotlight
(Mandatory)
Career Buddies
program
(Highly recommended)
1:1 Coaching
(Voluntary,
max 2 sessions
per learner)
Career Skills
Booster
(Voluntary)
Career
Spotlight #1
Setting career
goal(optional)
Career
Spotlight #2
Utilizing
networking
Career
Spotlight #3
Getting an
interview
Career Buddies #1
CV workshop
Within 6 months after graduation
Career
Spotlight #4
Advancing your
Profile(optional)
Career
Spotlight #5
Acing
interviews
Career
Buddies #2
Interview
workshop
1:1 Coaching
Choosing from the example topics 1) Career goal setting and action plan 2) Personal branding 3) Networking 4) Progressing my career
(e.g. getting a promotion/job transfer/role expansion, finding a suitable role) 5) Refining my resume 6) General interview preparation
7) Specific interview practice OR bringing your own questions to discuss Career goal setting and action plan
Career Skills Booster
4 mentoring sessions on 1) Mindset reset
2) Job searching and networking 3)
Resume refinement 4) Interview prep.
32
RISE BDA 1.0 has already helped many working
professionals transition into data analytics roles
BDA 1.0 graduates hired as:
Business & Integration
Arch Analyst
Timatic Data and Rule Specialist
Regional Data Analyst
Data Analyst
Data Analyst
IT Business Analyst
Technical Solutions
Specialist
Restaurant Operations Analyst
Digital Business Analyst
Senior Analyst, Market
Intelligence
Data Analyst
Business Analyst
Digital Analyst
Intelligence Analyst
Data Scientist
Data Analyst
Product Analytics Lead
Data Analyst
33
About Us
34
BCG is a global management consulting firm
with a strong presence in SG
An $11bn top global
management
consulting firm,
with 21,000
employees in more
than 50 countries
Strong presence in SG
since 1995, partnered
with multinational
conglomerates,
governments & SMEs
Leader in digital
transformation,
DigitalBCG has 7,000+
digital experts with
wide range of
capabilities
DigitalBCG Academy
has trained 15,000+
people in digital,
data & agile skills
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BCG has a heritage built for the future and has been
a leader in ideas and innovation since 1963
Cost
leadership
Position
and portfolio
Deconstruction
and change
1960s
1970s
1980s
1990s
2000s
Experience
curve
Growth-share
matrix
Competitive
environment matrix
Capabilities
competition
Trading up
Capabilities
New
normal
Purpose and
transformation
2010s
2020s
Adaptive advantage
Total Societal Impact
?
Thinking in
new boxes
Competitive
cost structure
Rule of
three and four
Time-based
competition
Deconstruction
and economics
of information
Leadership and
change management
Smart simplicity
Bionic company
Competing on
imagination
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We combine our heritage with cutting edge capabilities
AI & DATA ANALYTICS EXPERTS;
PRODUCT/ SOFTWARE BUILDERS
IT ARCHITECTS & DIGITAL
SOLUTION BUILDERS
Data scientists, and experts with advanced
analytics skills; customized and productized
IT architects, designers, engineers,
agile coaches, and cyber specialists
DIGITAL BUSINESS
BUILDERS
Innovators and
entrepreneurs with startup mindset and skills
DIGITAL
CONSULTANTS
Consultants with passion
for digital, technology,
and capability building
PURPOSE EXPERTS
Creators, artists, writers, innovators
developers, strategists aligned to
unleash the power of purpose
ADDITIONAL
SPECIALTY
SKILLS
Specialist units bringing
specific skill sets to our
digital work, e.g.,
purpose definition,
technology investment,
procurement
37
We have grown continuously ahead of competition with
offices in more than 100 cities in more than 50 countries
14%
CAGR
North
America
Europe, Middle East,
South America and
Africa(EMESA)
AsiaPacific
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2021 IDC MarketScape: BCG is a leader in worldwide business consulting
Key Takeaways
▪
▪
▪
▪
▪
BCG was named a "Leader" in worldwide business consulting
services, having been a pioneer in business strategy since 1963
and continues to help organizations with large-scale
transformations
Buyers worldwide view BCG as excelling at directly improving the
client organization's commercial performance.
BCG is seen to do extremely well at offering an end-to-end
transformation approach and helping clients create a more
effective business with our holistic "OneBCG" approach to the
market – operating as a single integrated, multifunctional team to
bring customized solutions to clients
BCG maintains a commitment to high standards, with effective
management of risks across the enterprise an absolute priority.
Areas of growth for BCG:
▪ Over the past few years, DigitalBCG has been an area of rapid
growth for BCG.
▪ BCG investments have enabled consulting on social impact on
a large scale in the past 10 years.
Download BCG excerpt: Link
Source: "IDC MarketScape: Worldwide Business Consulting Services 2021 Vendor Assessment", by Bjoern Stengel, November 2021, IDC # US47023921
IDC MarketScape vendor analysis model is designed to provide an overview of the competitive fitness of ICT suppliers in a given market. The research methodology utilizes a rigorous scoring methodology based on both qualitative and
quantitative criteria that results in a single graphical illustration of each vendor’s position within a given market. The Capabilities score measures vendor product, go-to-market and business execution in the short-term. The Strategy
score measures alignment of vendor strategies with customer requirements in a 3-5-year timeframe. Vendor market share is represented by the size of the circles. Vendor year-over-year growth rate relative to the given market is
indicated by a plus, neutral or minus next to the vendor name.
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