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As BI deployments have evolved and matured over the years, both IT and the business increasingly recognize a joint goal: to reduce the number of disparate BI tools so that business users have access to one version of the truth and IT can better support a smaller number of tools With XI Release 2, Business Objects offers a complete toolset that serves one of the broadest ranges of users needs, all on a common platform 3 discusses the different user segments in a BI implementation and how you may tailor your solution, training, and promotion efforts to each of these user segments With BI standardization, the goal is not to create a one size fits all solution Instead, it s to ensure that for each BI segment, there is only one standard tool that shares a common server, security, and metadata environment: for example, one ad hoc query tool for power users, one dashboard interface for executives, one production reporting tool for IT developers With a smaller number of tools to support, IT reaps enormous cost savings in terms of reduced software licensing and maintenance fees, lower hardware costs, and lower support costs, while still improving service levels For the business, it reduces their training time and ensures one version of the truth Even when companies implement a data warehouse to achieve a single version of truth, if different BI tools access the same data in the data warehouse, measures can be recalculated and represented in each BI tool in a slightly different way Although BI standardization is crucial for an enterprise solution, there are often insurmountable obstacles to achieving standardization First, many companies still allow individual business units to purchase BI solutions themselves; such solutions are not necessarily purchased by a central IT or purchasing department Second, when IT fails to partner with the business and views itself as the gatekeeper to data access rather than an enabler, the business must take matters into its own hands At risk for IT is control and, for some, job protection; at risk for the business is competitiveness and eventually viability Ideally, both stakeholders share a common goal, and I would suspect that those who don t.

The output from the program is shown here:

13822 Cam Synthesis Using Optimal Control Theory (Sec 135)

Inside Inside Inside Inside MyClass() MyClass(int) MyClass(double) MyClass(int, int)

2:

8:

13823 Cam Synthesis Using the Convolution Operator (Sec 136) 450 13824 Polydyne Cams 450 13825 Summary of Conclusions

t1x: t2x: t3x: t4x:

will ultimately fail, causing IT to be outsourced or the business to go bankrupt Finally, standardization takes a high degree of executive sponsorship, as standardization often means some users will need to make sacrifices, either in terms of shutting down other BI applications or in giving up customized or specialized functionality that may be important to a few but not to the enterprise as a whole With so many barriers to standardization, I was pleasantly surprised to find in a TDWI survey I co-authored, Enterprise Business Intelligence: Strategies and Technologies for Deploying BI on an Enterprise Scale, a relatively high success rate: 58 percent consider their standardization efforts highly to very highly successful (based on 594 respondents from a mixture of company sizes and geographic locations) A third of organizations surveyed say they plan to standardize on an integrated suite of BI tools within two years, and another 24 percent have already standardized

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MyClass( ) is overloaded four ways, each constructing an object differently The proper constructor is called based upon the arguments specified when new is executed By overloading a class constructor, you give the user of your class flexibility in the way objects are constructed One of the most common reasons that constructors are overloaded is to allow one object to initialize another For example, here is an enhanced version of the Stack class developed earlier that allows one stack to be constructed from another:

.

How you measure success is determined, in part, by the goals you wish to achieve On an intangible level, you know your implementation is successful when People have heard of BusinessObjects (or the name of your BI project/application) The business sees IT as a partner and not as a gatekeeper who holds the key to corporate data Users feel empowered to get to the information they need to do their jobs Business and financial analysts feel they spend less time collecting data and more time analyzing data, using it to make informed decisions It s a paradox that a tool that allows quantitative measurement of business goals is seldom measured itself In some respects, this is true of many IT projects in which the measure of success is simply whether the application is delivered on time and on budget As part of the annual OLAP Survey (wwwsurveycom/olap/), Nigel Pendse has surveyed customers each year to determine what benefits they obtained (or failed to achieve) by deploying a BI solution and whether or not those benefits were quantified As shown in Figure 2-1, the most proven and quantified benefits are the least tangible: faster, more accurate reporting and better business decisions The number of companies quantifying these benefits has also increased from 2002 to 2005 The more tangible benefits of saving headcount, increasing revenues, and so on are suspected but not formally measured The chart in Figure 2-1 uses the following weighting: