Digging for Data

Test run: BusinessObjects Explorer at SAP.info (photo: SAP.info)

SAP BusinessObjects Explorer, by accessing SAP NetWeaver Business Warehouse Accelerator, (SAP NetWeaver BW Accelerator) enables information workers to search through mountains of business data fast – and present the results clearly and appealingly. The software is due to be released this summer. It is designed to help users get results quickly and easily – even if they have no prior knowledge of data analysis. Furthermore, organizations can deploy it across numerous enterprise areas.

The version of SAP BusinessObjects Explorer presented at SAPPHIRE 2009 is aimed at companies already using SAP NetWeaver Business Warehouse. With this combination, all data is stored in the data processing system’s working memory – currently a state-of-the-art capability in business intelligence applications. With this in-memory database, all data can be accessed in a targeted way. Because complex data modeling isn’t required, companies save time and money. The data sources and metadata are indexed on a script basis.

As visitors to SAPPHIRE in Orlando already learned, it’s possible to analyze datasets with up to a billion records. In other words, query performance is up to 100 times faster than with conventional BI applications.

Create meaningful graphics from a seemingly infinite number of data records

Software and hardware in a single package

SAP BusinessObjects Explorer is designed to help IT departments particularly at organizations in which SAP users tend to put together their own reports. Plans are in place to produce special packages combining hardware and SAP BusinessObjects Explorer software – and partnerships have already been forged with Hewlett-Packard, Dell, and Fujitsu. The solution will also be available through the Best-Run Now initiative from SAP.

Downloadable demo version

Users are welcome to test the capabilities of SAP BusinessObjects Explorer themselves. A plug-in for Microsoft Excel can be downloaded from https://create.ondemand.com/polestar, and then existing data – for example, from an XLS file – can be analyzed. Our screenshots show the results the SAP.info editorial team achieved using test data. Through on-demand access, the data is subsequently analyzed and can also be exported, with data formats or visualization in PNG as options.

Video instructions are available here.

Data chart achieved using test data