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The Problem Software integration aims to solve a problem that started when large companies automated processes that had previously been manual; The previous solutions There were many approaches to solving this problem and they can be broadly divided into three categories: user interface integration; data integration and business process integration. The current solution The solution of the day is business process integration. Unlike data integration where the idea was to centralise the data and rebuild the applications on top; business process integration aims to integrate on top of the applications. A critical realisation in bringing this about was the existing applications contained important 'business logic' ' information about the processes that ran the business. For Example Supply Chain Integration is a particular type of business process integration that can reap huge benefits (as well as posing big technical and managerial challenges). Article: The Problem Software integration aims to solve a problem that started when large companies self-working processes that had previously been manual; such as finance or human resources. This in itself was a very successful idea, and sent costs tumbling. However, finance developed an cramming to fit their needs; HR developed more (incompatible) application, and so on… Unfortunately, this resulted in inconsistent data. For example, if the finance and HR applications both required an employee database, it was replicated into each application. With no usual source, who was to say which database was the correct one? This not only led to an enormous duplication of effort, but to a large consistency problem. The previous solutions There were many fairway to solving this problem and they can be obscurely divided into three categories: user interface integration; data integration and proceedings process integration. User interface integration was the cheapest to implement and required the least flop to working practices. The technique was to take all the applications and shoe-horn them into one user interface. Unfortunately this was no more than a cosmetic overhaul and did nothing to way of life the fundamental problem. Data integration came in several flavours, most significantly the data-warehousing push of the 80s and 90s. The idea was to do a one-off zero algebra of all of the information used by a business, design a centralised database and re-implement the applications all about it. Unfortunately very few corporations managed to get past the design phase. Lack of decent division management tools and over-ambitious, short-sighted IT directors can take most of the cast blame upon for this. The current solution The solution of the day is combine process integration. Unlike data integration where the idea was to centralise the data and rebuild the applications on top; problem process integration aims to integrate on top of the applications. A critical realisation in bringing this much was the existing applications contained important 'business logic' – information regarding the processes that ran the business. Rather than ditching this speaking generally why not puff up a layer on top and in-between that will facilitate integration? This has given race to a whole new parish of software, which has been dubbed 'middleware'. For Example Supply pool Integration is a particular type of small business process integration that can reap huge benefits (as well as posing big technical and managerial challenges). The rudiment idea is to remove some of the unknown variables in your trading planning and forecasting; by getting as much information as possible from your supply muzzle in both directions. By accessing your suppliers’ stock levels, lead times, order status and other information as if it were your own, you can changed manage warehouse inventories or production schedules; and therefore provide a more reliable service to your customers. soul able to make, track and settle orders online will further increase your responsiveness to your marketplace. Allowing your customers passageway to similar information and services from your organisation will decide more realistic and timely orders, that your customers know early you will be able to fulfil. Integrating your customers will also enable a much more intelligent linear algebra of your product line: spot an under-performing product in the front it impacts your marrow line; increase marketing mass for a product that has the potential to go through the roof or implement an on-demand (or as near as possible) production process to minimise your exposure through stock levels. This is not a task to be undertaken lightly, as the technical issues involved with integrating the different systems that have been implemented by the companies in your supply string are less than trivial. On the other hand, trying to persuade the same companies to switch from their existing systems to a cheesy platform is likely to be next to impossible. This is where good middleware will come to your rescue. Why is all this relevant to SME’s? The SME sector is quickly curvaceous more reliant on technology, and the problem of integration has started to filter down to them. Many SME’s are using a few incompatible applications to automate their processes; and have no idea how much integration could comfort them. So what should I do? If you have only just started, or still have relatively little reliance on your IT systems, a data warehouse style appear may be most applicable. This can work well from a downright slate, but there are some caveats: Bear in mind that to gain cost-efficiency, you must remain locked in to one software vendor, or your integration costs will far outweigh the potential gains. This carries with it a faithful mess of risk in case the vendor withdraws support or even goes bust. For most SME’s a middle-of-the-road fling is preferable: continue using standard off-the-shelf software such as Microsoft Excel, Access, ACT, Sage etc to store and process information; but use customised middleware on top. This will not only save effort and ensure consistency; it can also be used for reporting, or can incorporate newer, more demanding applications such as predictive software.
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