Technology in Organization

Technology in organization

Contents
Introduction.................................................................................................................................................3
Main body...................................................................................................................................................3
Case study of Arden University...................................................................................................................3
Identify and discussing Big Data and its role...........................................................................................3
Security and privacy....................................................................................................................................5
IT security and data privacy measures.....................................................................................................5
Key provisions of GDPR.....................................................................................................................7
Telecommunication and spreadsheet...........................................................................................................8
Cellular network......................................................................................................................................8
Components.............................................................................................................................................9
Principles of cellular network................................................................................................................10
Benefits.................................................................................................................................................10
Conclusion.................................................................................................................................................12
References.................................................................................................................................................13

Introduction
The use of technology in the organization is very important as it helps in maintain the
data flow, track processes and maintains employee records. With the use of technology the
operations of the business is done efficiently and effectively with minimum manpower and
reduces the cost of doing business. The term technology refers to the skills, techniques, methods
and process used in the industry for production and involving scientific investigation. It is a
branch of scientific knowledge deal with engineering and applied science (Amini 201.). It is a
use of technical means and there interaction. The study is done on the case of Arden University
of united Kingdom which has dome expansion of its business in Germany. The discussed topic
includes the big data, security and privacy, telecommunication of cellular network.
Main body
Case study of Arden University
Arden University was established in 1990 by resource development international. It is a
private profit teaching firm in the UK which provides various undergraduates and post graduates
program with distance learning.
Identify and discussing Big Data and its role
Big data is a field of analyzing and systematically extracting information from data
sets that are very large or difficult which can be deal by time-honored data-
processing application software. It offers statistical power. The analysis of Big data involves
data capturing , data analysis, data search, sharing, storing, and transferring,
visualization, querying regarding data, updating, information, privacy, and data source.. It is a
collection of huge volume data. The usage of Big Data is ordinary in the companies for
outperforming their peers and colleagues. The use of strategies from analyzed data is taken by
Existing competitors and new entrants for competing, innovating and value capturing. The
organizations get helps from big data in creating new development opportunities by combining
and analyzing industry data that have sufficient information and data about the goods and
services, buyers and suppliers, consumer preferences. Big data is connected with three key
elements: volume, variety, and velocity (Chythra and et.al., 2021).

 Volume - Volume is a characteristic which is measured when dealing with big data. It is
linked to the volume that determines value out of data. The university collects data from a
various of sources, involving social media and information from sensor, business
transactions, or machine-to-machine data.
 Variety- It defines to heterogeneous source and nature of data including structured and
unstructured. The analysis applications involves data in the form of emails, monitoring
devices, photos, videos, PDFs, audio, etc. The variety of unstructured data has issues for
mining and analyzing data, storage (Davies 2018).
 Velocity- It defines to the speed of generating of data. It is related to the speed. The data
flows in various sources like business processes, social media sites, sensors, application
logs, networks and Mobile devices, etc. The data flow is enormous and continuous.
Example of big data in education industry involved the use of big data for modified and
active learning programs, reframing course material, grading system and career prediction.
The use of bid data in banking sector helps in detecting the misuse of credit cards, risk
mitigation, business clarity, and consumer satisfaction alteration (Garnier 2020).
Role of big data
Big data plays a huge role in everything from navigation to healthcare system. It plays a
big role in choice of colleges and universities that are using the big data in interesting ways that
benefits the universities for profit margin and student for attending the school. The use of big
data in universities helps in increasing retention of the students. To maintain the student retention
predictive analytics is used for tracking the progress of students. It also identifies the non-
academic factors in the universities. In many ways the big data is incorporated in higher
education for making the education experience better for students. It also improves the learning
style and benefits target enrollment. The use of big data in universities helps in targeting student
scholarships by identifying quality students who helps in contribution for the betterment of the
institutions. A test is conducted by the universities where students have to score minimum marks
to get the scholarship set by the colleges. An institution uses big data for judging past
performance of a student no matter which school or college he/she was enrolled in. The use of
big data in university creates customized programs for the individual students as all data is