Datasheet

Advanced uses of MOSS 2007 include the following:
 Integrating data from back-end business databases in lists and libraries
being used by teams and departments.
 Creating executive dashboards that display the company’s progress on
key performance metrics.
 Converting all manual forms to browser-based electronic forms.
If you want to read about specific companies that have successfully imple-
mented SharePoint, you can visit the Office Solutions Showcase at www.
microsoft.com/office/showcase.
Choosing SharePoint projects
Deciding where to start with SharePoint is daunting. Most people go with
what’s easy only to find themselves quickly overwhelmed by too many “easy”
projects. Instead of going with whatever jumps out at you, I suggest you sit
down and make a list of candidate projects. A candidate project is any problem
that you think you can solve by using SharePoint. Identifying SharePoint’s role
in your existing information systems environment is a good place to start.
Specifically, you can look for holes in the IS environment or situations where
you need to create links between different kinds of information. For example,
any time you encounter a spreadsheet that’s being used by multiple people,
you probably have a good use for SharePoint.
After you create a list of candidate projects, I suggest you do the following:
 Identify the reward level of candidate projects on a scale of 0–100. You
can define reward based on your organization’s values, such as expo-
sure, usefulness, impact, and profile of the project.
 Assign the risk level of candidate projects on a scale of 0–100. Identify
risks, such as difficulty, obstacles, political issues, and probability of
success.
 Plot the values for reward and risk level on a chart with the numerical
values you assign.
You can make your approach to creating the reward and risk values as scien-
tific as you want. You can best guess the values or come up with an approach
that assigns weights to the underlying characteristics of reward and risk. You
can even use financial analysis, such as internal rate of return and net pre-
sent value, to assist with your analysis.
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