Data Analysis Software and Tools

Powerful data visualization software allow users to quickly slice and dice data to conduct in-depth analysis.

Data analysis tools and software are typically used to sort through enterprise data in order to identify patterns and establish relationships. Similar to "data mining," data analysis techniques can help virtually any business gain greater insight into organizational, industry, and customer trends.

The WebFOCUS business intelligence (BI) platform combines all the functionality of query tools, reporting tools, and online analytical processing (OLAP) into a single powerful solution with one common interface so business analysts can perform analysis, slice and dice the data, and see business processes in a new way. WebFOCUS makes data part of an organization's natural culture by giving developers the premier design environments for automated ad hoc and parameter-driven reporting, and giving everyone else the ability to receive and retrieve data in any format and perform data analysis using whatever device or application is part of the daily working life.

The OLAP features built into WebFOCUS allow users to analyze data in an almost unlimited number of ways. Satisfying the broadest range of analytical needs, BI application developers can enable any report with advanced data-analysis functionality, so end users can dynamically interact with the information in the report. WebFOCUS also supports the dynamic creation of Excel spreadsheets and PivotTables so that Excel power users can analyze their corporate data in a tool with which they are already familiar.

Users can also generate ad hoc queries from any enterprise data using nothing more than a browser – quickly and efficiently satisfying their individual information needs in real time. With WebFOCUS' intuitive, drag-and-drop graphical interface all levels of end users can rapidly select required columns and specify sorts in their reports. And the tree-style structure logically organizes database columns into folders so users – especially those working with large databases – can quickly locate data.

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