Applied Microsoft Business Intelligence by Patrick LeBlanc

By Patrick LeBlanc

Utilized Microsoft company Intelligence indicates you the way to leverage the total set of Microsoft tools—including Microsoft workplace and SQL Server—to greater research enterprise info. This ebook presents top practices for construction entire BI ideas utilizing the complete Microsoft toolset. you are going to methods to successfully use SQL Server research and Reporting prone, besides Excel, SharePoint, and different instruments to supply powerful and cohesive options for the company. assurance comprises BI structure, facts queries, semantic types, multidimensional modeling, information research and visualization, functionality tracking, info mining, and extra, that will help you discover ways to practice useful company research and reporting. Written through an writer crew that features a key member of the BI product crew at Microsoft, this helpful reference offers professional guide for better use of the Microsoft BI toolset.

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As a best practice yes, but typically no. The goal of most deployments is to improve performance and to present data in ways that resonate with consumers. Security and availability are usually an afterthought, often not occurring until it’s too late. Fortunately, when building a Microsoft business intelligence delivery solution, you have several options available to economically implement a solution that addresses all three. When implementing Microsoft business intelligence in an enterprise-wide manner, you should consider using SharePoint as the preferred method for delivery due to its collaborative nature and centralized delivery methodology.

Indd 11:14:10:AM 04/22/2015 Page 23 23 24 Part I ■ Overview of the Microsoft Business Intelligence Toolset End users may also manage other internal data sources, such as SharePoint lists or third-party applications that came with database backed during installation. In the case of the latter, the hosting department does not even realize what they have installed. In some cases these are common back ends, and others may require custom drivers to access the data. Using External Data Sources The data may also come from an external source via a web service, an OData feed, or even a hosted RDBMS (SQL Server or Oracle).

More specifically you consider: ■ What are the data requirements? ■ Is there a need for a data warehouse or a semantic model? ■ What are the hardware needs? Without adequate knowledge, these questions could result in the development of a solution that does not meet the needs or goals of an organization. Even worse, they may create a solution that meets the requirements, but cannot physically support an organization because of poorly sized hardware. Who’s the Audience? Identifying the audience should be the starting point, because if you do not have an intended group of end-users, what is the purpose of the project in the first place?

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