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The Essentials of Data Warehousing
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Many different tools can be used to build a data warehouse environment, ranging from the programming language used for other application development to the purchase of specialized technologies to cleanse, transform, and load the database Some organizations support multiple data access tools, which may include a basic report writer, multiple business intelligence tools, and perhaps a tool to perform statistical analysis Another category of costs that vary greatly are the people There are costs for the IT team members to design and build the data warehouse There are also costs associated with the business people who are active participants on the project team The amount of time and effort required depends upon the scope of the project and the state of the data itself If data is well de ned, understood and accurate, then less time will be needed to investigate and correct data quality problems The worse the data is today, the more effort is needed to get it into shape to be useful tomorrow There will be effort from both IT and the business to understand data problems and gure out what to do to correct them Once a data warehouse has been released for use, there are ongoing costs to ensure that proper support and education are provided Without this continued support, many data warehouses fail Ensure that the organization plans for these ongoing maintenance and enhancement expenses Usually, these are offset by the success of the data warehouse 4 explains the different roles for both business and IT project team members 9 discusses the tools and technologies that may be used 10 explores what is involved in preparing the data to be loaded into the data warehouse 12 provides insight into what is needed to support the data warehouse once it is put into production
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Question: How long will it take
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It depends You must rst de ne the business problem you are trying to address This will help de ne what are you trying to build There is a dramatic difference between the time required to build a data warehouse from scratch versus building a few new reports to deliver via a new dashboard using a tool that you have already been using Variables that can have a big impact on how long it takes include the following: How many different business groups are to be supported How many different data sources will be included Is the data well de ned and well understood by the business Is the data well structured and documented from a systems perspective How easy is it to integrate the data from these different sources Is this the rst data warehouse project
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2
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The Executive s FAQ for Data Warehousing
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How much experience does your staff have in building a data warehouse Will critical subject matter experts (from both the business and IT) be available when needed Will they have time to actively participate in the project How quickly can you make decisions needed to design and build the data warehouse Sample topics requiring decisions include de ning the formulas for business measures and how to handle anomalies in the source system data
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Answer
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In order to provide a glimpse into how long it may take, let s look at building a data warehouse from scratch After having worked on hundreds of different data warehouse projects, I ve found that there are clear breakpoints for estimating efforts The rst part of a project gathers true business requirements through conversations with real business users, and develops the dimensional model that will meet those business needs This helps both to clarify what is actually needed and to gain a good understanding of the data This effort should include exploring possible sources of data to populate the database The dimensional model provides the vision for what the data needs to look like to support the business reporting and analyses that need to be done Based upon years of experience, it typically takes six to eight weeks to gather requirements, and another six to eight weeks to develop a comprehensive dimensional model, the rst time The number of different groups that will participate in providing requirements, and their availability, determines the time needed to gather and document the requirements The number of data sources, the sheer number of data elements, and the complexity of the data de ne the time needed to complete the dimensional model Generally, these can be completed in three to four months Although you may use some external resources to accomplish this process, it is critical to have your internal resources intimately involved Many people are surprised at the length of time described here In order to develop a sound, sustainable data warehouse, it is critical the requirements and design be done thoroughly When the rst project builds a solid foundation, then subsequent projects are likely to take less time and re-work is minimized Once the requirements have been collected and the data has been modeled, you should have suf cient information to be able to estimate the effort required to build the data warehouse and develop the business intelligence solution This can range from a matter of weeks for small projects that start with solid reliable data to many months for larger, more complex data The effort to build a robust data warehouse and business intelligence solution is quite different from starting with a sketch of a dashboard that
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