Able to access almost any open standards data source (such as POJO and others), InetSoft's BI server can also access Excel spreadsheets, (file extensions .xls) or other flat files like .csv (comma separated value) and XML files.
Excel is great for KPI calculations and serves as an easy ad hoc database for many departments. They can drive weekly or even daily performance management reporting from PowerPoint slides or macro-driven workbooks. But when you're ready to graduate to a proper Web-based dashboard platform with security-controlled shareability and accessibility from almost any device anywhere, then InetSoft's BI application can meet that need.
Or you may have a custom-built application, a Web service, or a system that does have open-standards based connectivity to its data store, and all you have are .csv or XML files and need to have simple or advanced dashboards and reporting. For InetSoft's BI application, connecting to a .csv file is the same as connecting to a spreadsheet. And with XML file, you can leverage the InetSoft API to build a custom connector to read your XML tags.
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A key strength of InetSoft's business intelligence software is its depth of support for data mashups. Data from that spreadsheet sitting on your laptop, or the spreadmart on your LAN drive can be combined with almost any other data source found in your enterprise including: relational databases (via JDBC), multidimensional databases, XML, SOAP, Java beans (POJO), EJB beans, OLAP cubes, Hadoop/HIVE, SAP, PeopleSoft, Siebel CRM, Google AdWords & Analytics, JDE, salesforce.com and more.
In addition, InetSoft has innovated unique capabilities for enterprise mashups. You do not have to be a BI analyst to create your own mashups. Simply import your file and drag and drop similar fields to combine disparate tables and fields that were not previously mapped in a data model. Whatever dashboards or reports you make from them are now shareable inside the enterprise BI space.
Style Intelligence can give you the advanced data visualization types to be used on multi-dimensional data that Excel cannot. From bubble charts to heatmaps to radar plots, point and click visual anaylsis is the way to detect patterns and outliers and discover useful findings from mountains of data, especially big data. No other BI application provides more visualization types.
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