4. Returning with Big Plans
Big Data - a broad term for data sets so large or complex that they are difficult to
process using traditional data processing applications. Challenges include analysis,
capture, curation, search, sharing, storage, transfer, visualization, and information
privacy.
High-volume, high-velocity and high-variety information assets that demand cost-
effective, innovative forms of information processing for enhanced insight and
decision making
5. Why Big Data?
It was triggered by the need for the right analytics talent. Since they
weren’t readily available to be hired, we made them ourselves. It
quickly became apparent to us that other businesses in Malaysia had
this same need but they just didn’t know how to go about it. That is
where we came in and it just took off from there.
Big Data was going to mean big business, big competitive advantage.
It has become more precious than oil, more precious than gold.
6. The Challenges Faced
In the early stages, endless questions went
through my mind and organisations in
Malaysia as well.
Many were excited because they could see
the potential but the ones who were risk-
adverse needed more than the promise of
what could be.
8. #TEAMCADS
The Center of Applied Data Science (CADS ) is
ASEAN’s first and only one-stop platform and
center of excellence for Data Science in the
ASEAN region to empower the next generation of
Data Professionals.
Committed to delivering the highest standard in
Data Science education, CADS aims to cultivate
and mentor the next generation of Data
Professionals.
They are being nurtured to meet and exceed the
needs of a digitally disrupted world through an
accelerated and rigorous program of best-of-class
mentorship unlike any other presently available in
Southeast Asia.
9. It Starts with The Data Incubator
CADS partnered up with the Data
Incubator, which was founded in
2014 with grants from Cornell Tech,
the computer science school at
Cornell University, and is considered
among the leading data science
incubators in the United States.
10. When Harvard Business
School came to Malaysia
In 2016, CADS was
involved in launching a
customised Big Data
Analytics (BDA)
programme by
Harvard Business
School (HBS)
Executive Education in
Malaysia.
11. Mainstreaming E-
Learning Via Coursera
In 2017, the CADS collaborated
with Coursera, the largest
‘massive open online course’
(MOOC) platform in the world to
offer a host of data science
courses to Malaysians.
Don't Follow the Big Data & Data Science Craze Blindly
All the business organizations, including management consulting firms, banks & financial services, and tech companies, are indeed looking for big data talent. In fact, a recent IDC forecast shows that 2018 will see a six-time growth in the big data & analytics job market. Social media platforms are getting bombarded with blog posts and videos on data science, big data, and analytics. With a lot of hullabaloo going around, students and professionals are going crazy after data science and business analytics programs.
Since data science combines analytics with business acumen, much can be gained by targeting employees with domain expertise, in addition to technical prowess. For many organizations, the best use case for data science to add business value remains marketing and technology platforms with high activity levels.
So, do take caution and self-evaluate yourself. Don't mix enthusiasm/trends with passion. Trends keep changing. Don’t follow the data science (or big data) hype blindly. Besides, passion is not always good enough. You must possess the talent and need to be good at particular tasks. If you don’t possess a strong aptitude, quantitative background, and programming skills, Data Science & Analytics might not be your cup of tea.
