By Mark Gaynor
ISBN-10: 0471456519
ISBN-13: 9780471456513
- This first-ever valuation consultant indicates how you can decide on and deal with network-based prone to make sure greatest go back on investment
- Explains find out how to deal with the prices and tradeoffs among disbursed and centralized administration structures
- Shows how you can stay away from risking an excessive amount of for too little go back because of unpredictable total industry conditions
- Covers network-based providers equivalent to net entry, software administration, internet hosting, voice and knowledge prone, and the hot breed of SOAP/XML net services
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Additional info for Network services investment guide : maximizing ROI in uncertain times
Example text
It is likely that every proposed service will meet the needs of a certain market. Furthermore, the big centralized managed service providers will use resources more efficiently. It is when market uncertainty is high that user innovation has the greatest value because the larger number of experiments increases this value. This illustrates the link between market uncertainty and the value of end-2-end architecture. The creators of the Internet believed in the end-2-end argument, and the basic Internet network- and transport-layer protocols IP, TCP, and UDP are examples of its application.
Webbased applications are very diverse, from traditional Internet services, such as email, to a new breed of services enabled by the interactive nature of modern Web pages. From taxes to maps to banking, Web-based applications are trying to find the right business models. Some useful services such as travel directions and maps (MapQuest) are popular and provide a tremendous service, as Scott Bradner pointed out in a Network World column [2]. It is unfortunate that these companies do not yet have a business model that can generate revenue for well-received services.
How questions like this are answered affects the amount of experimentation that occurs and thus the value of the most successful of them. A greater number of experiments indicate a greater expected value. In general, services with distributed management structures allow more experimentation while centralized managed services imply less, as explained further in this chapter. While general services are predictable in many instances, the particular architecture, feature set, and implementation that are widely adopted are often not predictable.