The problems encountered by today's business world often require solutions that involve the transfer of large volumes of critical information (data). This information can be gathered from one system and transported to many others (distribution), or it can be gathered from multiple systems and then sent to one (collection). With the added complexity of an ever-increasing number of users, often separated by thousands of miles, the ability to quickly and efficiently transfer data from one location to another becomes a difficult problem to solve.
The problem is further compounded by a corporation's enterprise, which often consists of a mixture of different computers, running different operating systems, connected through different communications links.
The task of collecting and distributing information can pose problems when you must distribute data across multiple platforms and protocols over complicated networks. Some of the more traditional problems associated with data transfer include:
Transferring data stored in different formats on different platforms can often pose a problem. Difficulties arise when data cannot be transferred from one platform to another or if the integrity of the data is lost due to the incompatibilities between platforms.
The distribution of large amounts of data across a network can often impact other network users by swamping the network with data.
The inability to determine the optimum route by which to transfer data through a large and often complex network can lead to inefficiency, resulting in lost time and effort.
Mission-critical data must get through. Transfers must complete successfully, and users must be aware of the success of those transfers. Data transfer products must be reliable and informative…most are not.
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