Pro SQL Server 2008 Analytics Delivering Sales And Marketing by Brian Paulen, Jeff Finken

By Brian Paulen, Jeff Finken

Pro SQL Server 2008 Analytics offers every thing you want to recognize to improve refined and visually attractive revenues and advertising dashboards utilizing SQL Server 2008 and to combine these dashboards with SharePoint, PerformancePoint, and different key Microsoft applied sciences.

The e-book starts off by means of addressing the numerous misconceptions that encompass using key functionality signs (KPIs) and giving a short evaluation of the company intelligence (BI) and reporting instruments that may be mixed at the Microsoft platform that can assist you generate the consequences that you simply need.

The concentration of the e-book is that will help you enforce a profitable company intelligence venture of your individual. The textual content discusses some of the required undertaking making plans elements, offers overviews and examples linked to Microsoft's BI instruments, and provides specific examples of winning dashboard implementations.

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Extra resources for Pro SQL Server 2008 Analytics Delivering Sales And Marketing Dashboards

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An example with clear refresh and source information CHAPTER 2 ■ SEVEN KEYS TO SUCCESSFUL REPORTING PROJECTS Key 5: Proactively Reviewing Data Quality Conduct a proactive, thorough review of the quality of the underlying data. By ensuring the data is of good quality and up to date, you can avoid confusion about report accuracy and ensure that your project does not fail due to business stakeholders’ inability to trust the data. In many instances, data quality can be reviewed within the lines of business applications themselves.

They also need to be aligned with those users’ regular activities, as shown by the example in Figure 2-3. This example shows how a user can open a specific CRM account and find detailed, contextually relevant information inside the Account window. Users of ERP or accounting applications often use quick views or lists to manage information or metrics that are important. Similarly, users of CRM applications benefit from analytics that are embedded in various places throughout the tool that provide information at a glance.

The key questions that will be reviewed at this stage follow: Is the metric definition not only unambiguous but also clear to people not on the core team? Quite a bit of focus has been placed on developing metrics that cannot be construed differently by different audiences. This review provides the opportunity to do a final check and validate that not only is the definition clear but that any member of the organization will be able to have an understanding of the metric when they interact with it even if they aren’t intimately aware of the precise definition.

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