By Brian Larson
Maximize the company Intelligence instruments in Microsoft SQL Server 2008
Manage, learn, and distribute firm facts with support from this specialist source. Delivering company Intelligence with Microsoft SQL Server 2008 covers the complete BI lifecycle and explains tips to construct powerful info integration, reporting, and research options. Real-world examples illustrate all the strong BI features of SQL Server 2008. this is often your one-stop advisor for remodeling disparate facts into actionable perception for clients all through your organization.
Understand the ambitions and advantages of industrial intelligence
- Design and create relational facts marts and OLAP cubes
- Manage research providers databases utilizing BI improvement Studio
- Cleanse facts and populate info marts with SQL Server Integration Services
Take good thing about the flexibleness of the Unified Dimensional Model
- Manipulate and study information utilizing MDX scripts and queries
- Use facts mining to spot information styles, correlations, and clustering
- Develop and distribute interactive reviews with SQL Server 2008 Reporting Services
- Integrate enterprise intelligence into firm purposes utilizing ADOMD.NET and the document Viewer Control
Read or Download Delivering Business Intelligence with Microsoft SQL Server 2008 PDF
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Additional info for Delivering Business Intelligence with Microsoft SQL Server 2008
April is a member of the month dimension. The total sales at this intersection are $16,737. A measure value that exists at an intersection of all of the dimensions is called a detail, or leaf-level, value. In Figure 4-1, total sales for the Loon with Baby figurine by John in April is an example of a leaf-level value. This is a leaf-level value because members ( John, April, and Loon with Baby) are specified for each dimension (salesperson, month, and product). To determine the total sales by John in April, we need to add together John’s total sales of each individual product in April.
Let’s look at each of these types of data and see how they are stored in the data mart. Measures The measure forms the basis of everything we do with business intelligence. In fact, without measures, there would be no business intelligence. As we learned in Chapter 1, the measures are the whole reason for pursuing business intelligence. They are the basic building blocks for effective decision making. Definition A measure is a numeric quantity expressing some aspect of the organization’s performance.
In other cases, we know where to look, but it is not practical to search through all of the detailed information. Instead, we want to start at an upper level, find a number that looks interesting, and then drill to more detail. We want to follow the data that catches our attention to see where it leads. This is data-led discovery: The information we find determines where we want to go next. The developer of this type of solution cannot know everywhere the report user may want to go. Instead, the developer must provide an interactive environment that enables the user to navigate at will.
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