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Fundamentals of Big Data & Business
Analytics
December 2021 Examination
Question 1.
General Electric – a literal powerhouse of a corporation involved in virtually
every area of industry, has been laying the foundations of what it grandly
calls the Industrial Internet for some time now. But what exactly is it? Here’s
a basic overview of the ideas which they are hoping will transform industry,
and how it’s all built around big data. A simple way to think of the industrial
internet is as a subset of that, which includes all the data-gathering,
communicating and analysis done in industry. In essence, the idea is that all
the separate machines and tools which make an industry possible will be “smart”
– connected, data- enabled and constantly reporting their status to each other
in ways as creative as their engineers and data scientists can devise.
This will increase efficiency by allowing
every aspect of an industrial operation to be monitored and tweaked for optimal
performance and reduce down-time – machinery will break down less often if we
know exactly the best time to replace a worn part. Data is behind this
transformation, specifically the new tools that technology is giving us to
record and analyse every aspect of a machine’s operation. And GE is certainly
not data poor – according to Wikipedia, its 2005 tax return extended across
24,000 pages when printed out. And pioneering is deeply engrained in its
corporate culture – being established by Thomas Edison, as well as being the
first private company in the world to own its own computer system, in the
1960s. So of all the industrial giants of the pre-online world, it isn’t
surprising that they are blazing a trail into the brave new world of big data.
GE generates power at its plants which is used to drive the manufacturing that
goes on in its factories, and its financial divisions enable the multi-million
transactions involved when they are bought and sold. With fingers in this many
pies, it’s clearly in the position to generate, analyse and act on a great deal
of data. Sensors embedded in their power turbines, jet engines and hospital
scanners will collect the data – it’s estimated that one typical gas turbine
will generate 500Gb of data every day. And if that data can be used to improve
efficiency by just 1% across five of their key sectors that they sell to, those
sectors stand to make combined savings of $300 billion. With those kinds of
savings within sight, it isn’t surprising that GE is investing heavily. In 2012
they announced $1 billion was being invested over four years in their
state-of-the-art analytics centre in San Ramon, California, to attract
pioneering data talent to lay the software foundations of the Industrial
Internet.
a) State and explain how this generated data
is leveraged to enable growth in manufacturing sector for GE. Provide example
of 2 business questions using the data and potential analytics approach.
b) What is the end-to-end big data
architecture required in this context? Show it preferably using a diagram/
flowchart. You can explain possible tools which can be leveraged in the
life cycle and the rationale for the tool.
(10 Marks )
Ans 1.
Introduction:
The company has ten industrial and
production facilities in India, and they are all owned and operated by GE. It is obvious that the people of this nation are
aware of both the country's capacity, as well as its challenging circumstances. By making use of industrial information across a
broad spectrum of
Question 2.
Explain how clouds
have increasingly transformed
the adoption of
big data in the
companies. You must mention 3 examples of business cases which could transform
their business. What choices one needs to make to improve cost optimization
while using the cloud-based platform.
(10 Marks)
Ans 2.
Introduction:
A major advantage to the companies
benefiting from technologies that have improved over the years is that they can
experience simpler operation methods and more cost-effective operations. Even though data from every possible supply
available to companies of a wide variety has now become readily available to
them - social media, sensors, business apps, and many more sources. The
availability of data from each source has proven to be a key differentiator for
corporations of
Question 3. Indian
Banking Industry is facing fraud related issues for the past few years. Indian
Banks, especially Public Sector banks are suffering from mounting losses and
rise in NPAs on account of increased level of number of frauds. Loan
sanctioning for new projects, as happened in recent case of Nirav Modi, have
brought sufferings for the industry. Many of the top executives have been
charged for alleged corruption and deceitful intentions in granting loans. This
creates a question mark on corporate governance and ethics in the industry. In
fact, the menace of rising NPA is a global crisis that is responsible for slowdown
in industry. The strength of financial system of any economy can be judged by
its level of production and consumption. The living standard and status of
people can be judged with soundness of financial system; but if financial
system is packed with frauds and high degree of NPAs, it should be a cause of
worry for any nation.
Loan loss- The risk of
increasing NPA and Bad debts in India is increased manifold, due to lack of
appropriate methods of monitoring of loans and not by proper due diligence.
a. State what approach
can help achieve controlling bad debts and NPAs due to loan loss? How can each
BI and BA help solve this problem? (5 Marks)
b. How can predictive
analytics be enabled in this case? Illustrate the solution detail. (5 Marks)
Ans 3.
Introduction
In spite of the fact that it is a fact that the rise in bond prices has
had a devastating effect on the major banks during the current fiscal year, the
problem that really puts the cornerstone on the story is the growing number of
problematic loans. In spite of this, banks
will have to carry on to endure in the long run due to the new RBI regulations,
which was made to encourage lenders to
Ans 3(b).
In the debate regarding the bank capital law, one aspect that has been
devoted to significant discussion has been the potential role that provisions
for losses on bank mortgages may play as a component of a comprehensive
capitalization regulatory issue. The Basel Committee
on Banking
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students, get latest MBA Solved assignments by professionals.
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