The performance of leased data circuit and digitaline II installation services for corporate, global & government (eastern) customers within Pahang area / Mohd Shamsurizal Ab Rahim Halimi
For the information, any organization with large volume of data to transfer will find these services vital to their business. Besides providing privacy, it is also suitable for companies that require facilities for constant contact with their branches. The financial sector along with other multinati...
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Format: | Student Project |
Language: | English |
Published: |
1999
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Online Access: | https://ir.uitm.edu.my/id/eprint/59321/1/59321.pdf https://ir.uitm.edu.my/id/eprint/59321/ |
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Summary: | For the information, any organization with large volume of data to transfer will find these services vital to their business. Besides providing privacy, it is also suitable for companies that require facilities for constant contact with their branches. The financial sector along with other multinational companies will find these services very useful. Therefore, Telekom Malaysia Berhad has designed and put into service called Leased Line. Leased Lines are the reserve of larger corporate clients due to their cost.
Whilst Telekom Malaysia Berhad see Internet access as just one component within a fully integrated solution, this telecommunication company do offer a range of premium connectivity services at commercial-strength bandwidths. The Leased Line connectivity options are designed for business, with an emphasis on performance.
As the result, the customers should subscribe to these products. It is because these Leased Line services provide the customers with the facility to transmit and receive data between computers and terminals over dedicated and private lines. Beside that, these Leased Line services also allow the customers to create their own configuration to meet their business communication need. All information relayed is at the complete discretion of the user, giving the customers total control over their network. These Leased Lines can handle large volumes of data efficiently |
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