Urban Transport Infrastructure November 2018 Urban Transport Infra November 2018 | Page 51

Editorial
Opportunities and Challenges of Data Analytics
for Sustainable Development
We come across the various sets of data every time. Each person creates 1.7
Megabyte data every second.
W
hen we think of data
analytics, accumulation
of data comes in our
mind. We come across
the various sets of data every time.
Each person creates 1.7 Megabyte
data every second. The thing is, if we
analyze or introspect the data
internally as well as externally, we get
information. The processing of data
gives the information required for
growth. The simple data can be
processed but the complex data need
to be mined so as to extract the
needed information required by every
individual. The individual firm or a
company requires data analytics tools
for their growth.
The
sustainability
of
an
organization is made of both
quantitative and qualitative data are
analyzed
effectively
for
the
betterment of their position in the
market. The data itself is raw but if
processed and mined by using the
specific tool, it gets transformed into
rightful information. The statistical
tools, R, advanced excel give insights
on such massive data. The company
sustains if it recognizes its data and
knows how to crack the data to get
WWW.URBANTRANSPORTNEWS.COM
the valuable information from it.
The area of data analytics is
emerging extensively owing to
growing competition in the market.
The data analytics is understood
better if two terms namely Data
Science and Big Data are well
understood. Data Science involves
data preparation and analysis, Big
Data is used to analyze insights
which can lead to better decisions,
and Data Analytics is automation of
insights into the certain data-set as
well as assuming the queries and data
aggregation procedures. The usage of
data analytics for the betterment of
the company cannot be denied. The
companies like Amazon, GE, and
American Express use big data for
gaining insights into their target
market. The Japanese manufacturing
company, Sony has adopted big data
a few years ago. The big data can be
used for search optimization, fraud
detection from customer data,
accurate prediction and better
customer experience.
Data is the lifeblood of decision
making. The analysis of big data is
common in organizations with
consumer profiling,
personalized
51
Dr. Surabhi Singh, Ph. D
Associate Professor
IMS Ghaziabad
services, and predictive analytics
being used for the marketing. The
same methods could be employed to
develop real-time insights into
people’s well-being and to target aid
interventions to vulnerable groups.
The data, new technologies, and new
analytical approaches enable more
agile, efficient and evidence-based
decision-making
and
measure
progress
on
the
Sustainable
Development.
Urban Transport Infrastructure | November 2018