E Commerce

Download Data Warehousing And Business Intelligence For e-Commerce by Alan R. Simon PDF

By Alan R. Simon

You go surfing to shop for a camera. quickly, you have got a costlier digital camera than meant, in addition to additional batteries, charger, and photographs software-all on the prompting of the retailer.Happy together with your purchases? The shop definitely is, and when you are too, you either will be stated to be the beneficiaries of "customer intimacy" accomplished during the transformation of information amassed in this stopover at or kept from earlier visits into actual enterprise intelligence that may be exercised in genuine time.Data Warehousing and company Intelligence for e-Commerce is a pragmatic exploration of the technological recommendations wherein conventional information warehousing is delivered to endure in this and different much less modest e-commerce purposes, resembling these at paintings in B2B, G2C, B2G, and B2E types. The authors study the middle applied sciences and advertisement items in use this present day, supplying a nuts-and-bolts realizing of the way you could install patron and product info in ways in which meet the original standards of the net marketplace-particularly while you are a part of a brick-and-mortar corporation with particular on-line aspirations. In so doing, they construct a robust case for funding in and competitive improvement of those techniques, that are more likely to separate winners from losers as e-commerce grows and matures. * contains the most recent from winning facts warehousing experts whose paintings has inspired the field's new specialize in e-commerce.* provides details that's written for either specialists and practitioners in businesses of all sizes.* Emphasizes the targeted wishes and possibilities of conventional brick-and-mortar companies which are going surfing or partaking in B2B provide chains or e-marketplaces.* Explains how long-standing assumptions approximately facts warehousing need to be rethought in mild of rising enterprise versions that rely on client intimacy.* offers suggestion on protecting facts caliber and integrity in environments marked by way of wide buyer self-input.* Advocates cautious making plans that may support either previous economic climate and new financial system businesses enhance long-lived and winning e-commerce strategies.* specializes in facts warehousing for rising e-commerce parts akin to e-government and B2E environments.

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Additional info for Data Warehousing And Business Intelligence For e-Commerce (The Morgan Kaufmann Series in Data Management Systems) (The Morgan Kaufmann Series in Data Management Systems)

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With the explosion of personal computers and minicomputers during the 1980s, corporate data assets were increasingly dispersed among hundreds or even thousands of different platforms throughout the enterprise. , location transparency, platform transparency, and data format transparency) and treat these physically dispersed stores of data as if they were really a single, logically centralized, and homogeneous database. For example, a single query could be executed against the DDBMS layer that would, using its own directory and metadata (a database term for “data about data”) information, determine that three different databases would need to be accessed at execution time to merge and organize the requested information and present the combined results back to the user or requesting application.

Doing so extends far beyond the simple-to-understand B2C e-retailing example illustrated above; innovative ways of applying current and next-generation data warehousing and business intelligence to e-commerce are applicable to B2B environments (see Chapter 4), as well as the C2C and C2B variations of B2C that we’ll discuss in Chapter 3. And, as we’ll discuss later, it’s essential to ensure that business processes are modernized and kept in concert with their underlying technology. Therefore, implementing the models and architectures we’ll discuss throughout this book must be done as part of an overall end-to-end business strategy that encompasses both ecommerce and traditional channels and the necessary touch points throughout those respective sets of processes.

A direct relationship exists between time-to-results and amount of functionality. That is, the need to deliver results extremely quickly will result in reduced functionality (or at least less functionality than if more time had been available). The consequence of “Internet time” driving functionality has been the challenges discussed above: demarcation between e-commerce and data warehousing, as well as the lack of an up-front consolidated strategy covering integration between Internet and non-Internet channels.

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