Week 2 Flashcards

1
Q

Information Systems

A

A business function that covers the application of people, technologies and procedures to solve business problems

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2
Q

What are the three layers of information systems

A

Executive Information Systems (EIS

Management Information Systems (MIS) & Decision Support Systems (DSS)

Transaction Processing Systems (TPS)

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3
Q

What is the lowest layer of information system?

A

Transaction Processing System (TPS)

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4
Q

What is the middle layer of information system

A

Management Information Systems (MIS) & Decision Support Systems (DSS)

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5
Q

What is the top layer of information system

A

Executive Information Systems (EIS)

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6
Q

How are information systems classified?

A

Types of decisions supported
Levels of users
Data input

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7
Q

Executive Information Systems (EIS)

A

Top Layer

Specialised Decision Support System

Highest Level

Support high level managers in making strategic decisions

Uses visualisation

Digital dashboard

Does not automate decisions (requires human insight and evaluation)

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8
Q

What type of strategic decisions EIS supports?

A

Unstructured and complex

Long Term

Non-Routine

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9
Q

EIS uses complex models to discover…?

A

Patterns and complex relationships

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10
Q

EIS Data sources

A

Transaction Processing Systems

Data from external sources (competitors market)

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11
Q

Management Information System (MIS)

A

Second layer

Produces routine reports based on data captured by TPS

Supports several functional areas

Assist short term forecasting and assist middle level managers in making tactical decisions

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12
Q

Decision Support System (DSS)

A

Second Layer

Produces special reports based on ad hoc queries

Can utilize external data sources for analytical reporting

Assist short term forecasting and assist middle level managers in making tactical decisions

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13
Q

Transaction Processing System

A

Basic business system that supports operational tasks

Responsible for transactional information

(collect, update, delete, store) transaction information

involves one or more databases

LIFEBLOOD

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14
Q

Transactional Information

A

All information contained within a single business process or unit of work

i.e. withdrawing cash from ATM

making an online reservation

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15
Q

What are well known in a transaction for TPS

A

Input & Outputs

Well defined business rules

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16
Q

How many TPS does an organisation have?

A

Multiple

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17
Q

Decision: TPS

A

Structured (repetitive and routine with specific rules and well defined structures)

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18
Q

Decision: MIS/DSS

A

Semi structured

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19
Q

Decision: EIS

A

Unstructured

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20
Q

Users: TPS

A

Operational managers

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21
Q

Users: MIS/ DSS

A

Middle Managers

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22
Q

Users: EIS

A

Top Managers

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23
Q

Data sources: TPS

A

End Users

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24
Q

Data sources: MIS/DSS

A

TPS Databases

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25
Data sources: EIS
TPS databases and external sources
26
Enterprise Resource Planning
Integrates all departments and functions throughout an organization into a single IT system Employees can make enterprise - wide decisions by viewing enterprise wide information
27
Purpose of ERP
eliminate manual entry for multiple systems allow sharing of information across databases increase quality of information
28
What is at the heart of all ERP systems
A database that collects information from and feeds information into all the ERP systems individual application components/ modules
29
Core ERP Components
Accounting & Finance -> manage accounting data i.e accounts payable Production and materials management -> production planning and forecasting Human Resources -> track employess information
30
Extended ERP components
Business intelligence Supply chain management Customer relationship management E business
31
ERP Approaches
On premise Cloud
32
ERP: On Premise Approach
Resources are internally hosted and maintained by user organisations Hard to intergrate Expensive to implement and maintain Requires continuous upgrades
33
ERP: Cloud Approach
Resources hosted on a third party vendor managed and controlled infrastructure No need to worry about system upgrade and maintenance Less hardware investment Requires continuous upgrades
34
Cloud Computing
Any subscription based or pay per use service in real time over the internet that extends IT's existing capabalities
35
Key Characteristics of Cloud Computing
On demand self service (minimal human interaction) Broad network access (access through thick/thin client platforms) Resource pooling (storage, bandwidth) Rapid elasticity Measured service (resources monitored and controlled)
36
Cloud Computing Service Models
Software as Service (SaaS) Platform as a Service (PaaS) Infrastructure as a Service (IaaS)
37
Software as Service (SaaS)
Cloud vendor manages applications and infrastructure Client uses applications running on vendors cloud i.e. Google Docs
38
Platform as Service (PaaS)
Clients receive capability to deploy own applications onto cloud infrastructure maintained by cloud vendor
39
Infrastructure as Service (IaaS)
Client companies can customise and modify applications
40
Cloud Computing Deployment Models
Public Private Hybrid
41
Public Cloud
General public Owned and managed by 3rd party I.e Amazon, Microsoft Azure, (pay per use
42
Private Cloud
Exclusively for a single organisation Owned and managed by organisation or third party or any such combination can be on or off premise
43
Hybrid Cloud
Composition of two or more distinct cloud infrastructure (private, public)
44
Cloud ERP
Vendor manage IT platform and ERP software Either public or private cloud (operated by service provider)
45
Cloud ERP Benefits
Reduced ERP cost and better support Enhanced system speed and performance More effective system upgrade and enhancement Enhanced ERP mobility
46
Cloud ERP Risks
Cloud transparency and data privacy Data security Vendor lock in Integration to other IS applications
47
Business Intelligence
Systems that provide decision makers with valuable information and knowledge by leveraging a variety of data sources and structure and unstructured knowledge Supported by BI solutions that uses BI tools to provide valuable information and knowledge
48
Product of the process (BI)
Information useful to organisations to formulate knowledge or enable decision
49
The Process (BI)
through which an organisation obtains analysis and distributes information and knowledge
50
Knowledge Management
A BI technology Focuses on creating, sharing and applying knowledge Emphasizes on explicit and tacit knowledge
51
Explicit Knowledge
Knowledge that is recognized and articulated in some form
52
Tacit Knowledge
Knowledge that is difficult to articulate and formalise including insights and intuitions and hunches (
53
Knowledge Discovery BI vs KM
Potential overlap of knowledge discovery between BI and KM BI is data focussed, Knowledge Management is not
54
Data warehouse (DW)
Data warehouse a single local repository for an organisations data obtained from multiple operational systems using tools to transform or load data
55
Characteristics of Data Warehouse
Subject - oriented -> depends on type of company Intergrated -> Where data is fed into one DW from multiple sources Non - volatile - > DW must be loaded as a snapshot of the operational databases Time-variant, each unit of data is stamped with a date and record
56
Data mining
It refers to the process of discovering hidden patterns from data stored in electronic form (from data warehouse( using different data mining techniques
57
Clustering Analysis
Divides information into mutually exclusive groups with common patterns / characteristics
58
Association detection
It reveals the degree to which variables are related and the nature and frequency of these relationships in the information -> Market basket analysis
59
Market Basket Analysis
Items are purchased and analysed to uncover patterns and relationships between items bought together
60
Factors Driving Business Intelligence
Exploding data volumes due to huge data collections Increased complicated decisions -> .increased competitions, multiple industries Need for quick reflexes -> increased pace of change in different market domains; information access must be quick to be able to support decision