Introduction to Information Systems

Basics

Information System

Also known as IS, they are made up of processing, storing/retrieving, analysing, collecting, displaying, transmitting/receiving and organising. Its purpose specifies what data is wanted, who the data is transmitted to, what amount of data to transmit, and so forth

technological_sides

Actor

WORD

Instruction

WORD

Bridge

WORD

Computer side

Automated related actors and instruction (hardware and software respectively)

Human side

Manual related actors and instruction (people and procedures respectively)

ISs give a competitive advantage in a market as businesses employ more software based programs for innovation or efficiency

Software is now integrated into many industries and so is now a requirement, such as spotify in the music industry, xero in accounting, Netflix in film

Software as a Service

Hosted software that end user subscribes to

hype_cycle

Colour psychology

Using colours to intice emotions

Data and information

Data Data データ

Values without context, like the number 3, what do I mean by 3? $3? 3GB? 3 bananas? 3 seconds before I go insane?

Information Informazione 情報

Data with context, like $3, where we know the 3 refers to funds and not to the amount of siberian tigers in my backyard.

Network graphs

Graph showing association between items. Larger circles represent popularity, red circles represent strong correlation between two items

network_graph

Context diagram

As taught by Ricky, shows how entities use an information system and the input and output they put in and receive

Data flow diagram

As Ricky taught you, shows processes that an information system perform and how they come back to the entities

Software ソフトウェア

As Ricky taught you, shows processes that an information system perform and how they come back to the entities

Hardware ハードウェア

As Ricky taught you, shows processes that an information system perform and how they come back to the entities

Database Base di dati データベース

As Ricky taught you, shows processes that an information system perform and how they come back to the entities

Network Rete ネットワーク

Connection between different hardware devices

- IS work by inputs, processing, and outputs

- IT provides near real time intel, making decision making difficult for employees with ever changing information

- However, dashboards allow for better management assisting employees in making better decisions

Tyes of systems

- DSS (Decision Support Systems)
- TPS (Transaction Processing Systems)
- MIS (Management Information Systems)
- ESS (Executive Support Systems)

Internet of things

Wearable technologies

Digital agents

Userfriendly digital assistants

Digital ecosystems

Software that acts as an interface to a system

Sharing society

Social media

network_graph

TPS

* Transaction = Event where data that can be captured is generated. TPS aim to automate the processing of this and use the captured data for other systems such as DSS * TPS systems need maintenance to ensure the systems are collecting accurate data and the hardware & software produces no faults * Batch processing = As RIcky said, when transactions are accumulated and all processed at once at a specific Time * Online Transaction processing (OLTP) = Real time processing online

MIS

* System focused around organising business structures, such as HR management and store inventory * These systems use TPS and organise the data further for efficient management for a business

DSS

* Allows for analysis of large amounts of data to identify trends and links to help make stonger decisions * WHat if analysis = DSS determines the effects of certain actions to estimate the risk factor * Sensitive analysis = Testing how various inputs change the result of a system * GOal seeking = Optimising a system to prioritise certain goals for better aimed decisions

ESS

* ESS systems are made for the executives to aid them in making wise decisions by predicting future variables and present in an easy portal GUI

Digital dashboard

Presents a real time graphical report for efficient communication

Reports

Routine report

report delivered on schedule

Ad hoc report

A form of report that encompases the following
- Drill down report = Reports on very detailed data (forexample, the worker in a certain store in a certain region in a certain country)
- Key indicator report = reports that report on critical activities
- Comparative report = reports that compare the cariables of two entities

Exception report

Report delivered when an anomaly happens (event considered an outlier on the IQR)

Expert systems

* Advanced systems that aid in decision making and analysis. THey are reliable, user friendly and effective * Participants of this system include: Domain experts = Group with the experience that the system is trying to produce Knowledge engineers = Person with experience developing, maintaining and implementing expert systems and using domain experts to mould system effectivelty Knowledge user = Person benefiting from system * an ES will need the following: Knowledge base = Database of domain expert's knowledge including fatual (widely accepted knowledge in domain expert's field) and heuristic (experience in making reliable estimations) knowledge * Knowledge representation is done to exhibit the knowledge in the knowlegde base, usualy through if-then-else statements or even LOGIC (see discrete math)

Functionmal area information system

Inventory Management

Inventory must be controlled to be not too much or too little, so operations personnel decide when and how much to order

Quality Control

Provides information about the quality of incoming in-process, semifinished and finished products

Computer-Integrated Manufacturing is an approach that integrates various automated factory systems. Product Life Cycle Management is a business strategy that enables manufacturers to share product-related data that support product design and development and supply chain operations. Manages the product from its inception through its completion. ENTERPRISE RESOURCE PLANNING SYSTEMS systems_in_business * ERPS are made to help areas where business communication is lacking, managing supply chains and customer relations * ERPS may require extensive business remodelling, are expensive and time consuming to carry out, but offers more efficiency, flexibility for organisation and easier decision making * IS provide competitive advantage by adding task efficiency and cosumer appeal * Customer satisfaction, cost reduction, product quality, productivity are all mea * IS help with responding to pressures of the market, society and technology * Martket pressures include globalisation * IS accounts for changing nature of work (different people beinbg employed like disabled people, where IS help them to be more efficient)

Data and Knowledge Management

Effective information system

IS that provides accurate, timely and relevant information (like Mr. Istifan's integral data)

Why data management

- Protection from data rot
- Cope with big data

Why data management

- user data (data on a user)
- Product data (data on a product) - Real time data (data logging session)

Data governance

ensuring that certain data standards are enforced for an organization, so to make it usable by all authorised to acess it

Database

Collection of organised, stored data, with tables, records and fields (again, Ricky said this) access

Table

Location where data relating to something specifically is stored

Record

Denotes the type of data (like "Student name", "Student DOB")

Field

Data entry under a record

Relationships

Tables can have relationships, that is, ID records appearing in other tables (foreign keys as Ricky taught). Relationships:
- Reduce data redundancy
- Improve data consistency
- Increase data governance
- Improve data quality

Data cube

Big data

Big data collections. They have:
- Volume (amount of data)
- Velocity (data transmission speed)
- Variety (data types, like "Student name")
- Veracity (data that conforms to consistent format
Big data is useful for making analysis

Retailing

Getting right product, to right people, at right time

Reccomendation systems

- Content based Reccomendation: If John accesses data A, and data B is similar to data A, john will be reccomended data B
-Collaborative filtering: Assume John and Jane access data A and Jane accesses data B, data B will be reccomended to John as John and Jane are considered to have similar access patterns

Data warehouse

Central data repository from diverse sources

Data mart

Budget data warehouse for end user's needs

Knowledge Management

Expliciut knowledge

Knowledge that can be easily stored, transferred so forth

Tacit knowledge

Personal experiences difficult to store and transfer

KM Beneift

Efficient product dev

KM disadvantage

Must be continually maintained Tacit knowledge difficult to extract

Knowledge creation

Made when people find new methods to do something

Capture knowledge

Representing knowlegde

Knowledge creation

New knowledge must be placed in context so that it is actionable. This is where tacit qualities (human insights) must be captured along with explicit facts.

Business analytics

Management

Process of reaching goals using resources (labour, money etc)

Manager roles

- interpersonal - information - Decision

Decision

Choicewhich has 3 phases: - Intelligence: defining problem and opportinity - design: Designing model, simulating decisions - Choice: Choosing your destiny

What makes decisions hard

- many alternative options - time pressure - Uncertainty of Information - Need to access remote info

Types of decisions

Structured, semi structures, unstructured

Nature of decisions

Strategic planning: long range goals for growth and resopurce allocation Management control:Effectively using resources Operational control: Efficient and effective execution of tasks

Business intelligence

Information used to make decisions

Business intelligence

Information used to make decisions

BI development

Developing BI for departments helps with management, and often require a data mart

Development of BI supporting infastructure

Setting up data warehouse for whole enterprise, makiong data transfer easier for whole firm

Organizational transformation suppoprt

Changes way company competes

BI for analysis

DSS, Data mining, Multidimentional analysis or Onlina analytical processing