The Greatest Myths About Integration
Many companies are discovering that they have an increasing need to get data integration working in their company. Making a data integration project succeed requires a lot of work from an IT department in terms of setting up the system, running it, and maintaining the system. The more that a member of an IT team tries to define an integration process, the more that time and expense comes into play as a potential setback.
Using an in-house team of data programmers has been a typical solution to the issues created with data integration. Using such a method has a number drawbacks, however; the two largest ones are the issues of mistakes by the coding team and the testing time required to develop such a system. The problems of hiring programmers continue when you factor in how hard it is to manage and adapt the team to fit varying levels of data integration and the problem of having to keep them on board for the long term. The long term success of this kind of solution is not good.
The best solution to these kinds of problems has been to instead develop a modern version of the data integration system, which will be able to be controlled by an analyst without the need for heavy computer skills. From both a business and an IT end, this is a much better solution. Each of these teams will be able to spend their time and effort dealing with other issues. One especially important task that your teams can start working on are the kinds of data processing that comes prior to any actual data integration. Data integration that has been pushed into the modern age will be better equipped to deal with a world that requires ever stronger business intelligence, data storage, and other related concepts.
Part of the benefit of switching to the more modern system of data integration is to allow you to feel confident that all the systems you need are quickly integrated into the overall whole. The kinds of systems that will be integrated include all of your business applications, databases you operate on your own, and simple business files and records. For many modern companies, there are records that must be managed, and these records frequently reach well over a million in quantity. For this reason, it is absolutely essential that your data integration system stays out of the way of the data that must move around in real time.
Research is vital to successful data integration. Time and money can be saved when you have picked the right kind of vendor.
Using an in-house team of data programmers has been a typical solution to the issues created with data integration. Using such a method has a number drawbacks, however; the two largest ones are the issues of mistakes by the coding team and the testing time required to develop such a system. The problems of hiring programmers continue when you factor in how hard it is to manage and adapt the team to fit varying levels of data integration and the problem of having to keep them on board for the long term. The long term success of this kind of solution is not good.
The best solution to these kinds of problems has been to instead develop a modern version of the data integration system, which will be able to be controlled by an analyst without the need for heavy computer skills. From both a business and an IT end, this is a much better solution. Each of these teams will be able to spend their time and effort dealing with other issues. One especially important task that your teams can start working on are the kinds of data processing that comes prior to any actual data integration. Data integration that has been pushed into the modern age will be better equipped to deal with a world that requires ever stronger business intelligence, data storage, and other related concepts.
Part of the benefit of switching to the more modern system of data integration is to allow you to feel confident that all the systems you need are quickly integrated into the overall whole. The kinds of systems that will be integrated include all of your business applications, databases you operate on your own, and simple business files and records. For many modern companies, there are records that must be managed, and these records frequently reach well over a million in quantity. For this reason, it is absolutely essential that your data integration system stays out of the way of the data that must move around in real time.
Research is vital to successful data integration. Time and money can be saved when you have picked the right kind of vendor.
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