Gaining Data Warehouse Success in Visual Studio .NET

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Gaining Data Warehouse Success
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resulted in multimillion-dollar results, it is more likely for a business to see bene ts from many small decisions The data warehouse provides the keys that unlock the data s value There are several common expectations regarding what a data warehouse should be able to do Many organizations fall short of meeting these expectations, so it is worth taking some time to understand these expectations and what needs to be in place in order to achieve them
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The Promises of Data Warehousing
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Since its inception, data warehousing has offered the promise of helping to improve your business A data warehouse is expected to provide both of the following: A single version of the truth The capability to access all data whenever it is needed Unfortunately, many organizations have invested millions of dollars in data warehousing without realizing either of these goals There are many reasons for these struggles and failures, many of which are addressed in this book First, it is worth looking a little more closely at these expectations The idea of having a single version of the truth is appealing because so much time and energy is wasted in chasing down discrepancies It is reasonable to want to trust report results so that decisions based upon those reports are sound A data warehouse can indeed provide a single repository for all of your data, but that alone is not enough to ensure that all reports will be consistent Clean, trusted data from the data warehouse is often pulled out, further manipulated, possibly loaded into yet another database, and nally presented on reports The use of different formulae for calculations, and the criteria used to include or exclude data from the result set, can cause signi cant differences in what is shown on a report The effort of loading data into a data warehouse is not enough to ful ll the promise of a single version of the truth This requires organizational discipline and a commitment to data management, which is discussed in detail in 8 The second big promise of data warehousing is that any data that is desired will be available at your ngertips whenever it is needed Indeed, a data warehouse can make data more accessible to many different types of users across an organization, but it is too expensive to load all of the company s data into a data warehouse The audience and business impact of some data is not signi cant enough to justify the expense of including it in the data warehouse An organization must determine what data is needed to help the business decision-making processes Then, the most useful data can be loaded
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Part I
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The Essentials of Data Warehousing
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into the data warehouse over a period of time, perhaps even a number of years Often this is viewed as the nal goal: The data is available in the data warehouse However, data in a database does not automatically mean that it is accessible to the business community The data must be made available through reports, dashboards, or analysis tools that are combined with appropriate education about how to leverage the data as part of the day-to-day decision-making processes While sound database design and the use of technology are important, many other factors need to be addressed in order to achieve success In the next section, you ll learn about the most common roadblocks to this success, and how to remove them
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Keys to Success
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There are several key factors for success in building a data warehouse These factors are relevant regardless of the industry or size of company, and have remained constant over the years As mentioned earlier, some organizations have invested millions of dollars to obtain the best of everything, and yet struggle to deliver any value to the business Conversely, some organizations have built a data warehouse with little more than bailing wire and an abacus and have achieved great success While technology and tools certainly play a role in building a data warehouse, they are clearly not the primary factors for success or failure
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