Abstract the picture where different methods are adopted to

Abstract

 

Big data analytics plays a
crucial role in many large organizations today due to the substantial amount of
complex data it possesses. It is therefore possible that some aspects of the
data might be lost or not taken account of upon moving it from one destination
to another. This is where big data analytics comes into the picture where
different methods are adopted to ensure the accountability of data to further
increase the accuracy of numbers for the organization.  This paper will focus on the use of big data
analytics and presents new and innovative approaches that could possibly aid in
enhancing the existing feature today.

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Keywords

Big data analytics, Robotics, Automation, Chatbox, Voice
recognition

1.     Introduction

 

Over the past few years, there has been an increasing
number of patrons visiting the library and hence, the increasing need for more
reading or research resources. The patrons who visit the library vary, from
students, homemakers, to the elderly seniors, and all of them each target
differing reading materials. In order to meet these demands, the National
Library Board is constantly in the market procuring resources to add to their
plethora of resources and information.

However, with such vast amount of resources available, it
would not be cost-effective to have those manually sorted out at each regional
branch since it would require too much labour hours. As such, it would be more
viable to incorporate the use of, perhaps, full automation of robotics in this
aspect. Not forgetting the perspective of the patrons, it would be highly
difficult for them to find the exact information they are searching for in the
large pool of resources. Currently, the use of text analytics had been adopted
by the National Library Board known as ‘OneSearch” to aid patrons in their
search via “key phrase extraction” which not only does it increase the accuracy
of search results, but also suggest other related content in the National
Library, Public Libraries, and National Archives. As a regular patron of the
library, despite the many innovations and use of more advanced technology in
many branches, I feel that the use of big data analytics is indeed vital in
ensuring the smooth operation of the library as a whole and is thus something
that can be looked into.

 

 

2.    
Information Systems Management Issue (essentially a
literature review section)

 

Back
in 2013, the National Library Board has already begun looking into
incorporating big data to help manage sort their massive volumes of data in the
system. They had adopted the use of Hadoop framework as part of their big data
analytics. Hadoop framework is an open-source software framework designed for
processing large volumes of data. This was made use of in their depository
system via text analytics on past loans by patrons as well as the books’
bibliography. Information gathered form it benefitted patrons greatly through
better and more relevant book recommendations when searching for their required
information or simply are just browsing. Based on data provided, 89% of fiction
titles and 53% of-non-fiction titles have been recommended as generated by the
system for patrons which in turn, showed an inclination towards fiction books
and hence to cater more inventory towards it.

With
all of these existing big data analytics, what I proposed that the National
Library Board could possibly look into would be their logistical aspect in
operations. Currently, the National Library Board has a shelf-reading robot as
well as an Autosorter which assist backend employees in sorting of books in the
inventory as well as those that patrons just returned. This greatly reduced the
time spent by employees in sorting especially for elderly employees. National
Library Board could perhaps go an extra step by having full automation of
robotics in the sorting department. Innovation could be geared towards having a
coding programmed into the robot, mirroring the code assigned to each shelf as
well as the floor plan of the library, enabling it to place the books on the
respective shelves. This could reduce the need for manpower and thus cost
effective for the organization.

As
of now, patrons can search for their item on computers in the library which
would then lead them to the respective section, shelf, and the serial number of
the book, but, dissatisfaction arises when one patron hogs the computer and
holds up the line of those who needs it. Hence, there could be discussion to
create a voice-automated machine, a Chatbox, situated near the entrance of the
library operated by voice-recognition. Patrons would be able to “converse” with
the machine with regards to an array of enquiries such as searching for a
specific item, checking on current loans, and even renewal of books. This could
in turn enhance agency-patron relationship since there is no need for staffs to
personally call up patrons reminding them of due dates et cetera.

For
the National Library Board, it is a constant issue that patrons do not return
their borrowed items punctually. To tackle this issue, the National Library
Board has activated the use of automatic text messages sent to patrons,
reminding them of the upcoming due date of the borrowed item as well as
outstanding fines, if any. However, this may not be efficient in the event if
there are any hiccups in the system or if patrons simply ignore the text
messages. In such cases, the library could then initiate having the Chatbox
programmed to give patrons a call instead of sending text messages as
reminders. Similarly, this could in turn enhance agency-patron relationship as
well.

 

 

 

3.    
Discussion and Argument

 

The use of big data analytics in the National Library
Board does not only extend to the use in its depository system but used towards
understanding its patrons as well. In an article in GovTech Singapore last
year, computational techniques were used to do just that, and this could be an
aspect as part of future expansion of the big data analytics introduced in the
previous section. Via running data clustering algorithms over 20 million loan
records, the National Library Board can distinguish even the slightest
difference the reading style and patterns of readers which may seem similar on
the surface. Through understanding its patrons, the National Library Board
could further promote the benefits of reading to people of all ages. For instance,
with the help of the current computational techniques, results have shown that
despite the patrons being elderly, the materials targeted by them differs based
on the region they reside in. For those who lead more active lifestyles tend to
want to travel to branches other than the ones nearer to their estate and would
thus lean towards materials catering to their hobbies and interest or towards
learning new skills. However, for those living in more mature estates tend to
borrow materials for young children and hence able to deduce that they are
perhaps looking after grandchildren.

 

From these data collected, National Library Board
could further provide a more personalized experience for the various estates
and this could in turn promote the culture of reading, aligning with the goals
the government has for the people. Today’s millennials are more on social media
and less on reading per se hence this could be a great opportunity to promote
and inculcate good habits of reading especially in the younger generations. For
the older generation, having more of the materials that appeals to them can
serve as an encouragement for them to do so. Moreover, the government has been
active in constructing libraries in majority, if not all estates, to encourage
this motion therefore serve as an option of bonding activity amongst families
across the island.

 

Analyzing it as a nation, inculcating reading in the
people can help to further improve literacy level, increasing the quality of
life of the people, and providing a more learned workforce for the economy. On
a more societal level, reading could connect people on different walks of life
and thus strengthen the cohesiveness of the society.

4.    
Conclusion

 

As seen in an article in Business
Information ASEAN, the National Library Board had started traversing into the
world of big data analytics only in 2013 which indicates that it has just
entered the early stages of research in this field. This would mean that there
is still an abundant of possibilities in this area of big data analytics that
have yet to be explored, giving room for more research to be carried out.

Thorough examination of the current big data
analysis took on by the National Library Board would show that it has indeed
taken a big step towards trying to understand the people better to cater to
their preference. This has been successful on their part with the increase in
number of patrons to the library ever since incorporating the use of big data
analytics. It has also been observed that efforts have been put into
reconstructing the outlook of the library and at the same time inputting of new
technology, presenting patrons with a whole new experience for whilst their
time spent in it.

This is significant since it is the
objective of the government to attract more patrons to the library and the
results shows exactly that. Putting aside the current achievements thus far, it
is also crucial that efforts are put into maintaining this result and
brainstorming on how big data analytics can be further integrated into it. Long
term benefits should be put into consideration where big data analytics is
concerned which is what the National Library Board has done.

Overall, the involvement in this project has
been mainly favourable since big data analytics have generally been helpful in
organizations such as the National Library Board in terms of operations and
logistical aspect. Big data analytics have helped in organizing big data, both
structured and unstructured, ensuring and providing not only cost efficiency
for the agency, but in terms of work efficiency for employees and patrons as
well.