The 10 Leading Data Analytics Course Providers

ics Astudy
conducted by SINTEF in
2014 showed that more of the
world’s data had been collected in
the past two years than the rest of the human
history combined. Data is essential,
ubiquitous, and profitable – except when it is
not. With such unimaginable amounts of
information produced every day by us
humans, the primary question remains –
How to use this information optimally?
Curation is a mix of art and science which
deals with selecting, organizing, and looking
after the sets of information. Knowledge is
power, they say. Then curation is the most
essential weapon of the digital age. Data
Analytics is nothing but curation in a digital
context.
In the business world, data analytics helps
marketers learn about their customers with
target precision, from which movies they
watch on streaming services to their
favourite scoop of chocolate ice cream.
Analytics and data have given us deeper
insights into the consumer, enabling quick
decision making and thereby optimizing the
marketing efforts. It grounds the information
coming from multiple sources, providing a
platform to view them in one place so that
one can see what is working for them and
what is not.
While Big Data is not a novel phenomenon,
it is only recently that we have begun to
grasp the possible power of data-driven
approaches to decision making in terms of
market penetration. Big Data allows one to
gather and analyze more sets of information,
offering marketers the ability to focus on
informed targeting for greater efficiency.
Algorithms analyze billions of fragments of
data to suit an advertiser’s needs. This
proves an invaluable asset to direct efforts,
resources and customer interactions for
maximizing market penetration and other
needs.
The year 2020 has been a year of disruptions
and risks – and for some, successful
management of those risks. The pandemic
and the disruptions caused by it have
completely transformed the way consumers
buy products and services. Much attention
has been diverted to the impressive ways
machine learning and AI help companies by
automating services, making
recommendations and predicting patterns
that lead to greater sales and engagement.
For example, Amazon’s recommendation
algorithm drives a third of its sales. Whereas
YouTube’s algorithm is responsible for 70%
of the content watched on its platform.
What Next?
New Rules
It is an exciting time in the world right now.
How the future will evolve in a world where
both marketers and consumers are
influenced and managed by intelligent, data
and analytics-based software applications, is
something the whole world is trying to
understand.
The marketing teams need a higher level of
digital literacy and a deeper understanding
of how to use data to answer important
questions, like: how to advertise? How to
handle customer relationships? How to look
into after-sales support?
For this, the organizational leaders need to
proactively think about ways and strategies
to enable themselves and their organizations
for an AI-powered and Data Analytics
supported future of marketing.
“The companies that are going to win are
the ones who are using data, not guessing.”
- Neil Hoyne, senior fellow at Wharton
Customer Analytics and chief measurement
strategist at Google. T R
- Aditya Umale
APRIL | 2021
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