SAP Crystal Presentation Design

Turn ordinary spreadsheets into extraordinary, interactive presentations

Wow your audience with impressive Flash-based interactive presentations that go beyond static tables, charts, and graphs. Use our point-and-click presentation software to transform rows of spreadsheet data – including number-intensive financials – into eye-catching data visualizations.

  • Build professional, interactive presentations in minutes with an intuitive, friendly design tool
  • Inform, engage and persuade your audience with eye-catching visualizations
  • Run what-if scenarios to instantly demonstrate the impact of business decisions
  • Use familiar Microsoft Office and Adobe tools to create and share presentations
  • Jumpstart presentations using prebuilt templates and data visualization designs
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    • Get Started with SAP Crystal Presentation Design software: Download Your Free Copy and Unlock the Power of Data Visualization. SAP Crystal Presentation Design is a point-and-click data visualization tool for creating interactive, dashboard presentations from Microsoft Excel spreadsheets. Formerly known as Xcelsius Present, the software is now SAP Crystal Presentation Design. Begin turning your Excel spreadsheets into professional, interactive visual dashboard presentations with the click of a button. Business users can quickly embed existing spreadsheet data into the design work space and use visual components to build rich data presentations – no programming skills are necessary. Let’s take a look at how it works. In this demonstration, you’ll see how to: use the design work space, transform data into interactive charts, and leverage pre-built design components to explore what-if scenarios. Use the Design Work Space. There are five major panels – or areas – within the work space of the designer. The canvas is where your dashboards take shape. The component browser is where you select charts, maps, and other visual elements. The properties panel is where you edit the attributes of a selected component. The object browser provides quick access to existing dashboard components. The embedded spreadsheet is where your Excel data sits. We’ll begin by importing an existing spreadsheet as our information source. The embeded spreadsheet can be used in three ways – as a data source, as the calculation engine, and to support what-if scenarios, such as predicting trends based on changes in key performance indicators. This spreadsheet shows worldwide sales volume with metrics for regional orders and revenue. Data cells in the spreadsheet are linked, enabling interactivity with the software. For example, the revenue column is a result of multiplying two other columns. We’ll use this data to build interactive charts. Transform Data into Interactive Charts. We want to highlight key information for a worldwide sales manager, so we’re going to add some visual elements to the canvas. Whenever a visual element is added, it must be connected to data cells in the spreadsheet, using the properties panel. Once on the canvas, the chart properties can be adjusted to yield the desired look and behavior. To modify the pie chart, we click on it to activate its property box. We can add a title and delete the subtitle, which isn’t required in this scenario. Next we’ll set the data values for the cost of sales across the four sales regions. Then we’ll select the four regions as our range to connect the data to the pie chart. We’ll follow a similar sequence for the bar chart, but this time working with net revenue. We’ll select a single series of data to display in this chart. Adding multiple series is possible too, and enables you to chart different values, but in this case we’ll be showing only one value - net revenue. We’ll select the data range for net revenue across our four regions. We complete this step by naming the regions. Leverage pre-built design components to explore what-if scenarios. To take this visualization beyond simple charting, our next step will be to add a what-if scenario. In the spreadsheet, all the average order values, for each region, are derived from a single worldwide average in cell C2. We can attach a dial to this worldwide average and enable users to adjust the value, which will recalculate all of the downstream dependent numbers, s
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