Extra Point Tasks-2-1 (1)
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School
Germanna Community College *
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Course
360
Subject
Information Systems
Date
Dec 6, 2023
Type
docx
Pages
3
Uploaded by CountCloverKangaroo82
Extra Point Task 2
Direction
Extra Points: 10 points available (*They will be added to your test 1 grade. However, note that
total points will NOT exceed 100
, and are NOT transferrable
to another item such as other
tests.)
Required Answer Format: essay format
Folks, achieving the extra points will not be an easy task
. Please, make an effort to develop the
answers.
The details are the key to achieving the full points
. Make the right points. Do not
provide partial sentences.
Good Luck, Folks!
Question
Your Answers
1
What are the major types
of computer software used
in business? How are they
used in business context?
Please, describe each type
of computer software
with
examples. (
3 points)
The major types of computer software used in business are
Hardware, System Software, Application Software, and
Users. Hardware is used to reduce costs by automating
routine tasks, such as record-keeping, accounting, and
payroll. improve customer service or supplier relationships.
develop more effective communication within the business
or with customers. increase business efficiency and staff
productivity. System Software can provide an online
platform for teams to communicate, share information and
work together more effectively. Increased efficiency:
Business applications can streamline processes and
automate mundane tasks, allowing teams to get more
done in less time. Application Software built to facilitate
certain business functions and improve the accuracy,
efficiency, and effectiveness of operations by saving time
and enhancing productivity.
1
2
.
Discuss the components
and associated
relationships presented in
the business intelligence
technology infrastructure
(Figure 6.14)
with
an
example (such as retrieval
of customer data for
marketing). What are the
differences between “data
warehouse” and “data
mart”?
(
4 points)
The main components of business intelligence are data
warehouse, business analytics and business performance
management and user interface. Data warehouse holds
data obtained from internal sources as well as external
sources. The internal sources include various operational
systems.
Data warehouses typically store data from multiple business
units. They centrally integrate data from across the
organization for comprehensive analytics. Data marts have a
single-subject focus and are more decentralized in nature.
They often filter and summarize information from another
existing data warehouse.
Size:
In terms of data size, data marts are generally smaller,
typically encompassing less than 100 GB. In contrast, data
warehouses are much larger, often exceeding 100 GB and
even reaching terabyte-scale or beyond.
Range:
Data marts cater to the specific needs of a single line
of business or department within the organization. On the
other hand, data warehouses are designed to be enterprise-
wide, spanning across multiple functional areas and serving
the data requirements of the entire organization.
Sources:
Data marts draw data from a limited number of
sources, while data warehouses have a more comprehensive
scope, collecting data from a diverse array of sources. Data
warehouses integrate information from numerous operational
systems, applications, and external feeds to offer a holistic
and comprehensive view of the organization's data landscape.
2
3
Discuss common issues of
supply chain management
with several examples
(provide at least two
issues). Additionally, explain
the positive roles of
information systems in
resolving these issues.
Please, ensure that you
discuss each issue and how
information systems can
help resolve them. (
3
points)
One of the common issues with the supply chain is global
supply chain due to the fact of greater complexities and
challenges to manage the global supply chain. Another
issue is inventory challenges due to the marketplaces are
constantly changing. Here are some positive roles in
resolving the issues, enhanced visibility, automation, and
data analytics. Enhanced visibility: Advanced technology,
like supply chain management software and IoT sensors,
provides real-time visibility into inventory levels, shipment
status, and production processes. This visibility enables
better decision-making and timely interventions to address
potential disruptions. Automation: Automation streamlines
routine tasks such as order processing, inventory
management, and demand forecasting. AI-driven
algorithms analyze data, predict demand patterns, and
optimize logistics, resulting in more accurate and efficient
supply chain operations. Data analytics: Technology allows
businesses to collect and analyze vast amounts of data
from various supply chain stages. This data-driven
approach helps identify inefficiencies, bottlenecks, and
opportunities for improvement, allowing for data-backed
decision-making.
3
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