OSX Business Data Analysis Suite
Interactive Data Analysis Tool, Business Data Package, Win & Mac OSX Suite, V11.2017
OFFER PRICE: € 875.00
OSX Business Data Analysis Suite Features:
The OSX Business Data analysis Suite (OSX) is highly extensive software package used to sort through enterprise data in order to identify patterns and establish relationships. OSX provides data analysis techniques that can help virtually any business gain greater insight into organizational, industry, and customer trends.
The OSX business intelligence 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. OSX makes data part of an organisation’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 is part of the daily working life.
The OLAP features built into OSX allow users to analyze data in an almost unlimited number of ways. Satisfying the broadest range of analytical need. The OSX business intelligence application can enable any report with advanced data-analysis functionality, so end users can dynamically interact with the information in the report. OSX 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 OSX’ 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.