Week 4
Reflection
This weeks lecture was about enhancing business intelligence using information systems. Within this lecture I learnt ISs are used to gather and analyse information from internal and external sources to help make good business decisions that will help the business in the long run. I learnt what "Big Data" is and how it effects a business through volume, variety, velocity, veracity and value. We also looked at the different types of data that management has to require, soft data which is non-analytical information such as up to date news stories and hard data which is facts and numbers usually produced by organisational databases or other systems. Business intelligence helps when reacting to various threats and opportunities organisations may face such as fierce competition and to help organisations continuously analyse and monitor business processes to get the results to help make adjustments within the business.
We also learnt about databases and the Database Management System, or DBMS for short, this is a program that allows organisations to easily create, store, retrieve, organise and analyse information the business has retrieved. After that we learnt about the advantages of the database approach, how effective it is to a business and the types of documents that would be drawn up.
We learnt about a few other systems such as:
- Decision support systems (DSS), which is a system used to support decision making for recurring problems. This is measured through a what-if analysis which usually a employee at managerial level would complete.
- Expert systems, which is a system that manipulates knowledge rather than information. This system asks a series of questions where the answers are then matched with predefined rules.
- Intelligent agents. This system comes in many different types such as user agents, buyer agents, monitoring and sensing agents, data-mining agents, web crawlers and destructive agents.
The last thing I learnt in the lecture was GIS which is an acronym for geographic information systems. This is a system for creating, managing, analysing and storing geographically referenced information where a user can add information stored in different layers. an example of this could be google earth.
We also learnt about databases and the Database Management System, or DBMS for short, this is a program that allows organisations to easily create, store, retrieve, organise and analyse information the business has retrieved. After that we learnt about the advantages of the database approach, how effective it is to a business and the types of documents that would be drawn up.
We learnt about a few other systems such as:
- Decision support systems (DSS), which is a system used to support decision making for recurring problems. This is measured through a what-if analysis which usually a employee at managerial level would complete.
- Expert systems, which is a system that manipulates knowledge rather than information. This system asks a series of questions where the answers are then matched with predefined rules.
- Intelligent agents. This system comes in many different types such as user agents, buyer agents, monitoring and sensing agents, data-mining agents, web crawlers and destructive agents.
The last thing I learnt in the lecture was GIS which is an acronym for geographic information systems. This is a system for creating, managing, analysing and storing geographically referenced information where a user can add information stored in different layers. an example of this could be google earth.
Teamwork
This week within our groups we asked our company a few questions to the business to get more of an insight on the company and some minor issues they would go through on a day to day basis. We collected a lot of information which we then read over in the seminar and analysed the answers to produce any solutions to these problems. This was just to help us see who was best at what job so we can then start to assign roles for the more serious solutions the business faces.
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