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The sales of e commerce software solutions are increasing tremendously due to growing trend of businesses going online. These software help businesses handle transactions, manage inventory and collect information. Thus more companies are now creating e commerce software solutions in addition to independent systems like systems for accounting (Leuning, 2000). One of the important trends seen in the market is the integration of data analysis tools with e commerce software.

This help business in analyzing their data as these tools perform data mining to identify patterns and trends such online consumer buying preferences and this assists companies make better decisions (Wong, 2000). Previously e commerce systems were two tiered systems with client interface and backend server. However this is not flexible as client manages the business logic and the front end interface giving excessive load to clients. Therefore there the e commerce software solutions now being developed are based on three tier architecture in which a middle tier is added in between the front end browser and back end database servers.

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The middle tier is usually the application server (also known as middle ware) that performs all the business logic, reducing the load on clients. Thus it is more flexible, secure and scalable. (Calcagno, 2002) In today’s market the growth depends on factors like how well the applications are integrated, the level of security they provide and the number of users they can server without compromising on performance. This calls for need of efficient E-Commerce software that provide all these functionalities. Challenges One of the foremost challenges faced by the e commerce is the level of security provided by e commerce software solutions.

There is a risk of hackers attacking your website for the purpose of data theft. They steal customer information to sell it to other companies or commit credit frauds. Therefore there is a need for secure software packages that ensure that all transactions are carried out safely to protect customer data and money (Alhadeff, 2006). However it must be ensured that providing security does not requires compromising on performance. Another challenge is the competition from other e businesses. For this the companies need to attract as many online users as possible and minimize the switch over rate.

To do this they need software that provides friendly and convenient service to the customers. The shopping cart software especially must be designed to cater the needs of the users and provide them with a unique service (Article Base, 2008). The rapidly changing market for e commerce standards and tool is another issue that e businesses face. There present software solutions become outdated quickly. Also the companies do not understand their requirements clearly which results in vendors developing incorrect solutions for them which does not ultimately serve the business purpose. This leads to not only wastage of money but loosing customers.

Besides that the present e commerce software solutions must fulfill as many requirements of the business as possible and should be flexible and customizable according to the changing needs of the company. Moreover the software must provide customers with real time access of data. Conclusion To compete in the highly competitive and internet revolutionized environment, online businesses must strive to provide unique services to customers. For this they need software that are secure, reliable and available to provide high level of customer satisfaction.

References

Article base. February 2nd 2009. Ecommerce Software-turning Challenges to Opportunities. February 2009, from http://www. articlesbase. com/ecommerce-articles/ecommerce-softwareturning-challenges-to-opportunities-750880. html Enrich Luening. February 1st 2000. E commerce growth fuels B2B market, study says. February 2009 from http://news. cnet. com/E-commerce-growth-fuels-B2B-market%2C-study-says/2100 1017_3-236363. html? tag=mncol Jeff Smith. April 9th, 2008. Data Mining Tools, Understanding Data Mining. February, 2009 from http://www. articlesbase. com/databases-articles/data-mining-tools-understanding-data-mining-382636. html

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