By Cindi Howson
The definitive reference for construction actionable enterprise intelligence—completely revised for SAP BusinessObjects BI 4.0.
Unleash the entire power of industrial intelligence with fact-based judgements, aligned to enterprise pursuits, utilizing studies and dashboards that lead from perception to motion. SAP BusinessObjects BI 4.0: the total Reference bargains thoroughly up-to-date insurance of the newest BI platform.
Find out how you can paintings with the recent details layout device to create universes that entry a number of facts resources and SAP BW. See the best way to translate complicated company questions into hugely effective internet Intelligence queries and post your effects to the BI Launchpad. the way to create dashboards from facts sourced via a universe or spreadsheet. crucial suggestions for universe designers, record and dashboard authors, and enterprise analysts are totally defined and illustrated through screenshots, diagrams, and step by step instructions.
- Establish and evolve BI goals
- Maximize your BI investments by way of providing the precise module to the correct user
- Create powerful universes with the knowledge layout software, leveraging a number of facts resources, derived tables, mixture know-how, and parameters
- Develop a safety plan that's scalable and versatile Design
- Web Intelligence studies from uncomplicated to advanced
- Create refined calculations and complex formatting to spotlight severe company trends
- Build robust dashboards to embed in PowerPoint or the BI Launchpad
- Use Explorer to visually navigate huge information units and discover patterns
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Extra info for Business Objects XI : the complete reference
In its simplest terms, a dashboard is a collection of information, similar to a dashboard in your car. It might include • A map that color codes where sales are performing well or poorly • A gauge chart that shows if expenses are over/under budget • A trend line that tracks stock outs Chapter 1: Introduction to Business Intelligence Data Mining Data mining is a particular kind of analysis that discovers patterns in data using specific algorithms such as decision trees, neural networks, clustering, and so on.
As shown in Figure 2-1, the most proven and quantified benefits are the least tangible: faster, more accurate reporting and better business decisions. The number of companies quantifying these benefits has also increased from 2002 to 2005. The more tangible benefits of saving headcount, increasing revenues, and so on are suspected but not formally measured. The chart in Figure 2-1 uses the following weighting: Level of Benefit Reported Weighting Proven and quantified 10 Proven but not measured 8 Formally claimed but not verified 5 Informally suspected 3 Not achieved –2 Got worse/more expensive –6 Don’t know 0 PART I will ultimately fail, causing IT to be outsourced or the business to go bankrupt.
Enjoy the journey! 2 CHAPTER Goals of Deploying BusinessObjects XI W hether you are first implementing BusinessObjects XI or expanding an existing implementation, it’s important to be clear about the goals of your deployment. You may be implementing BusinessObjects XI as part of an IT effort or as part of a specific business initiative. The goals of these two groups can be quite different. The goals may be driven by the following: • IT to reduce infrastructure costs, limit custom report development, or replace a legacy reporting system • A business unit to provide access to data to manage and measure the day-to-day business activities • The corporation as part of a larger enterprise performance management initiative, as a strategic tool that provides competitive advantage The goals of different stakeholders may collide and impede progress or merge to make the implementation more successful.