Discuss the role of the following facilities within the context of the provision of information:· Data bases· Client servers· Expert systems and Artificial Intelligence· Data warehousing.

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Computing Solutions CS2

Examine and evaluate information systems within an organisation

Table of Contents

TABLE OF CONTENTS        

TASK 1        

DATA BASES        

CLIENT SERVERS        

EXPERT SYSTEMS AND ARTIFICIAL INTELLIGENCE        

DATA WAREHOUSING        

INTRANET AND INTERNET        

TASK 2        

ACCURACY        

RELEVANCE        

TIMELINESS        

COST        

DATA PROTECTION ACT        

COMPUTER MISUSE ACT        

COPYRIGHT ACT        

INITIAL USER REQUIREMENTS        

USER OPINIONS        

VOLUME OF PROBLEMS        

FINANCIAL GAIN        

SUMMARY        

BIBLIOGRAPHY        

Task 1

Information is a vital resource within an organisation and it is important that the users of this information have instant, appropriate access to it. Information must be shared across the organisation so that everyone can make his or her decisions using it.

1.1

Discuss the role of the following facilities within the context of the provision of information:

  • Data bases
  • Client servers
  • Expert systems and Artificial Intelligence
  • Data warehousing

Give brief details of the role each of the above plays in the provision, distribution or use of information.

Data bases

If we were to look at the BIFHE scenario before any integrated systems are put in place, we would see that each department is probably organising their data in a traditional file environment. This will either involve hardcopy's in filing cabinets, data stored on stand-alone computers, or both. This can cause many problems such as: data redundancy, programme-data dependency, inflexibility, poor data security and an inability to share data between applications and departments.

A properly implemented database system would irradiate many or all of these problems. The data from all departments within the organisation can be brought together and centralised therefore minimising redundant data and maximising accessibility. Users with different levels of access would be able to share information with colleagues and other departments much more efficiently. Essentially, a database makes the provision of information much easier as it can be accessed from anywhere within the organisation and as long as users have the appropriate access levels it no longer needs to be distributed.

Client servers

CENTRALISED SYSTEM

In a centralised system, all the data processing is performed by one central host computer or mainframe, which is accessed by many users through terminals or PC's which carry out virtually no processing.

DISTRIBUTED SYSTEM

In a distributed system, the data processes and interface components are distributed among the computers in a network. For example, the server may hold all the data centrally but each users machine by means of a locally stored interface would carry out all the processing of that data.

The later of these systems is by far the most popular, as it is much more efficient and therefore would be well suited for implementation within BIFHE. This would give every user the power to manipulate and process data and information at their own workstations without having to worry about a busy or congested server holding them up.

Expert systems and Artificial Intelligence

Expert systems are an extension of decision support systems, which would be used by the strategic level Management team in an organisation. They basically capture the knowledge of a human expert decision-maker. It then uses this data to make decisions and learn from the outcomes of those decisions, i.e. experience. The system compares expected outcomes with actual outcomes in much the same way as a human would, and then modifies its knowledge base and rules accordingly.

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These expert systems need to be implemented in conjunction with Artificial Intelligence technology so they can effectively access and process data in a way that simulates the reasoning of an expert. The rule base is searched using an inference engine for one of the following strategies:

  • Forward Chaining

Simply uses the information entered to conduct a search of the rule base and arrive at a conclusion. Forward chaining systems are often called "production" systems. Each of the rules is actually a miniature procedure called a production. It is used primarily for diagnosis, for all other purposes forward chaining is ...

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