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
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Automated related actors and instruction (hardware and software respectively)
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
Hosted software that end user subscribes to
Using colours to intice emotions
Values without context, like the number 3, what do I mean by 3? $3? 3GB? 3 bananas? 3 seconds before I go insane?
Data with context, like $3, where we know the 3 refers to funds and not to the amount of siberian tigers in my backyard.
Graph showing association between items. Larger circles represent popularity, red circles represent strong correlation between two items
As taught by Ricky, shows how entities use an information system and the input and output they put in and receive
As Ricky taught you, shows processes that an information system perform and how they come back to the entities
As Ricky taught you, shows processes that an information system perform and how they come back to the entities
As Ricky taught you, shows processes that an information system perform and how they come back to the entities
As Ricky taught you, shows processes that an information system perform and how they come back to the entities
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
- DSS (Decision Support Systems)
- TPS (Transaction Processing Systems)
- MIS (Management Information Systems)
- ESS (Executive Support Systems)
Wearable technologies
Userfriendly digital assistants
Software that acts as an interface to a system
Social media
* 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
* 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
* 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 systems are made for the executives to aid them in making wise decisions by predicting future variables and present in an easy portal GUI
Presents a real time graphical report for efficient communication
report delivered on schedule
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
Report delivered when an anomaly happens (event considered an outlier on the IQR)
* 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)
Inventory must be controlled to be not too much or too little, so operations personnel decide when and how much to order
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
* 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
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* 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)
IS that provides accurate, timely and relevant information (like Mr. Istifan's integral data)
- Protection from data rot
- Cope with big data
- user data (data on a user)
- Product data (data on a product)
- Real time data (data logging session)
ensuring that certain data standards are enforced for an organization, so to make it usable by all authorised to acess it
Collection of organised, stored data, with tables, records and fields (again, Ricky said this) access
Location where data relating to something specifically is stored
Denotes the type of data (like "Student name", "Student DOB")
Data entry under a record
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
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
Getting right product, to right people, at right time
- 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
Central data repository from diverse sources
Budget data warehouse for end user's needs
Knowledge that can be easily stored, transferred so forth
Personal experiences difficult to store and transfer
Efficient product dev
Must be continually maintained Tacit knowledge difficult to extract
Made when people find new methods to do something
Representing knowlegde
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.
Process of reaching goals using resources (labour, money etc)
- interpersonal - information - Decision
Choicewhich has 3 phases: - Intelligence: defining problem and opportinity - design: Designing model, simulating decisions - Choice: Choosing your destiny
- many alternative options - time pressure - Uncertainty of Information - Need to access remote info
Structured, semi structures, unstructured
Strategic planning: long range goals for growth and resopurce allocation Management control:Effectively using resources Operational control: Efficient and effective execution of tasks
Information used to make decisions
Information used to make decisions
Developing BI for departments helps with management, and often require a data mart
Setting up data warehouse for whole enterprise, makiong data transfer easier for whole firm
Changes way company competes
DSS, Data mining, Multidimentional analysis or Onlina analytical processing