Analytics and Big Data: Emerging trends and their impact on our lives

AuthorKunal Saha
Date01 November 2019
DOIhttp://doi.org/10.1002/pa.1944
Published date01 November 2019
PRACTITIONER PAPER
Analytics and Big Data: Emerging trends and their impact on
our lives
Kunal Saha
Department of Finance, Institute for Financial
Managementand Research,Chennai, University
Correspondence
Kunal Saha, Institute for Financial
Managementand Research, Chennai, University
Email: kunal.saha@ifmr.ac.in
Companies are increasingly turning to Analytics to gain a competitive edge, provid-
ing decision makers with better insights. As they do, firms must resolve unique
demands on their Information Technology resources and processes. This paper
attempts to review the chronology of the adoption of Analytics. Next, it highlights
how various economic sectors have incorporated Analytics and the resulting
changes in the ways businesses interact with their customers. Further, the paper
explores the cutting edge innovations in the Analytics domain. Subsequently, this
paper tries to do an impact analysis on all these developments of our lives. Finally,
the opportunities and threats, and how they may stand to affect our future, are
discussed.
1|INTRODUCTION
Businesses have always strived to improve efficiency by studying their
processes, collecting data on various metrics and analyzing these data
to come up with insights. This process became more technical with the
advent of computers. The more powerful computers became, the
more sophisticated analytical techniques could be employed. This is
where terms like Business Analytics, Data Mining, and Big Data come
into the picture.
Various attempts have been made to define these terms. However,
the definitions usually overlap, and hence, no one definition can claim
to be comprehensive in its own right.
One interpretation of Business Analytics indicates that it is an
umbrella term including data warehousing, business intelligence, and
analytic applications.
Another interpretation may use Business Analyticsto indicate
some level of vertical/horizontal domain knowledge tied with statisti-
cal or predictive Analytics.
More importantly, there are two things worth differentiating:
a. The first is the human aspect of Analyticsthe need to get the
most value out of information. With the increasing complexity of
the world economy, deriving insights from data is getting more
complex. Issues that stop us from getting value out of information
include culture, politics, privacy, and security concerns. What data
to collect and how to share it are questions for which answers are
continuously evolving.
b. The second is the technical aspectthe level of analytical compe-
tence in terms of mathematical theory and technology that can
be used to help provide useful insights. This obviously does change
over time.
The term Big Data is used to refer to large and/or complex data sets.
Although large amount of data provides more statistical power,
higher complexity can lead to wrong conclusions (Breur, 2016). The
complexity is associated with three key concepts: volume, variety,
and velocity. Other concepts incorporated later were veracity and
value (O'Leary, 2013).
The concept of Business Analytics dates back to the late 1950s
when an IBM researcher used the term Business Intelligencein an
article (Luhn, 1958).
Business Intelligence evolved from the decision support
systems, which were introduced in the 1960s, and evolved in use
and scope through the mid1980s. The mid1970s saw the
introduction of Relational Databases, Data Warehouses, and
Management Information Systems. The 1980s brought with it the
rise of material requirements planning and manufacturing resource
planning.
In the 1990s, enterprise resource planning systems came to rep-
resent a larger whole. Online Analytical Processing, Data
Warehousing, and eventually, Business Intelligence rose to
Received: 4 March 2019 Accepted: 7 March 2019
DOI: 10.1002/pa.1944
J Public Affairs. 2019; :e1944.
https://doi.org/10.1002/pa.1944
© 2019 John Wiley & Sons, Ltd.
wileyonlinelibrary.com/journal/pa 1of8
of Madras, India
of Madras, India.
19

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