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Technology in Organisation

   

Added on  2022-12-13

13 Pages3748 Words315 Views
Data Science and Big Data
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Technology in
organisation
Technology in Organisation_1

Contents
INTRODUCTION......................................................................................................................3
Question 1: Case study and questions........................................................................................3
Big Data and its role in Arden University..............................................................................3
Key benefits to Arden University gets after adopting Big Data............................................4
Question 2 – Security and Privacy.............................................................................................5
Explain the IT security and data privacy measures that an organisation must implement
along with provisions of GDPR.............................................................................................5
Question 3 Telecommunication and spreadsheets.....................................................................8
A) Describe a cellular network, its principle components and how it works...................8
B) Explain the benefits of a cellular network to a business.............................................9
CONCLUSION........................................................................................................................10
References................................................................................................................................11
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INTRODUCTION
Technology is vital for an organisation as it help in keeping data, maintain records,
smooth functioning of activities, secure information and so on. Along with this, there are
different technologies adopted by companies for managing data and to execute activities as
well. In the present report, there is discussion about role and advantages of big data. In
addition to this, various information privacy measures and IT security systems used by
organisation in order to protect data is elaborated.
Question 1: Case study and questions
Big Data and its role in Arden University
Data is defined as a set of numbers, characters, or a symbols which can be transmitted
and stored as electrical signals & recorded on optical, magnetic or mechanical media by a
computer. In addition to this, Big Data is basically a vast collection of data which grows
exponentially with the passage of time period. It is a wide & composite data collection which
no traditional information processing systems can efficiently store or process. Moreover,
Regular data is basically similar to big data and is far bigger to put it another way, it is a
range of structured, unstructured data and semi structured from companies which can be
mined for knowledge as well as used in advanced analytics projects like machine learning &
predictive modelling (Choi and et. al., 2018).
Importance of Big Data
Regulates effective work of an organization: Big data enables companies to become
more customer-centric. Historical and real-time data can be used to measure consumer
preferences, helping businesses to update and refine their marketing campaigns and become
more attentive to customer desires and needs (Del Vecchio and et. al., 2018). In regards to
chosen institute, managers takes use of big data for regulating operational affairs of the firm.
This helps in regulating effective work being produced in the organisation and also
contributes its valuable contribution towards better productivity of the organisation as a
whole.
Other sectors: Big data is used by health researchers and doctors to categories disease
risk factors and identify diseases and disorders in particular patients. Furthermore, data
derived from electronic health records (EHRs), social media, the internet, and other sources
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offers real-time information on infectious disease risks and outbreaks to healthcare facilities
and government agencies (Ju and et. al., 2018).
Role of Big Data in Arden University
Target student scholarship: Arden University will recognise good students by
giving them a test for which they must score a certain amount of points in order to be
considered for a scholarship. Big data may also be used by institutions to evaluate a student's
previous performance, regardless of the school or college he or she attended. These methods
may help businesses recognise students who are more likely to stick around in college or
university. Furthermore, for the institution's scholarship funds, this solution will have the
highest return on investment.
Seeking attention to those students who needs the most: After the data has been
extensively analysed, it can be used to identify students who will need more attention during
daily school tasks, such as homework, as compared to others who will unquestionably
succeed in their academic careers (Lee and Huh, 2019). These practises, however, raise
ethical questions about whether collecting this form of data on students infringes on their
privacy while also enabling students to be supported in a number of ways.
Reassess curriculum: All of the data collected and stored will help an organisation
create a personalised programme for each student. Big data also allows for specialisation
when a university or college has tens of thousands of students. Blended learning, which
combines online and offline learning, is what institutions are looking for while operating in a
specific marketplace.
Organising customized programs for students: For organising customised
programs inside or outside the university, big data can prove to be an effective tool. It have
its crucial role in arranging effective programs in respect with various university programs
which are organised by the institute itself. It shortens the path for management and avoids
duplication of efforts being produced during the course.
Save on operations: Organizations may also use data analytics to reduce energy
usage and save money. Institutions can build performance models using real-time data from
sensors, metres, and actuators. Models can help with energy use monitoring, forecasting,
assuming, and optimization. They can also identify buildings that are underperforming and
determine what is causing the inefficiencies.
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