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Software Solutions

Dynamic & Adhoc Reporting

SQL Server Reporting Services is a comprehensive, server-based solution that enables the creation, management, and delivery of both traditional, paper-oriented reports and interactive, web-based reports. An integrated part of the Microsoft Business Intelligence framework, Reporting Services combines the data management capabilities of SQL Server and Microsoft Windows Server with familiar and powerful Microsoft Office System applications to deliver real-time information to support daily operations and drive decisions.

SQL Server 2005 Reporting Services extends the Microsoft Business Intelligence (BI) platform to reach the
information worker who needs access to business data. Reporting Services is a server-based enterprise reporting environment, managed via web services. Reports can be delivered in a variety of formats, with a range of interactivity and printing options. Complex analyses can reach a broad audience through the distribution of reports as a data source for downstream business intelligence.

An integrated component of SQL Server 2005, Reporting Services provides:
● A high performance engine for processing and formatting reports.
● A complete set of tools for creating, managing, and viewing reports.
● An extensible architecture and open interfaces for embedding reports or integrating reporting solutions in diverse IT environments.

Dynamic Reporting
Businesses can use Reporting Services for their operational reporting or business intelligence applications. Using Reporting Services, corporate IT staff can design a variety of reports and deploy them to individuals throughout the enterprise, using a combination of e-mail distribution and publishing on a corporate portal.

Ad Hoc reporting.
SQL Server 2005 Reporting Services includes Report Builder, an ad hoc reporting tool that enables business users to create their own reports and explore corporate data. Report Builder incorporates a user-friendly business query model that enables users to build reports without deep technical understanding of the underlying data sources.
 

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