Datawatch has released new version of Monarch Business Intelligence Enterprise Server, which it claims to provide an alternative to database-oriented BI offerings.
The company said that the Monarch BI Enterprise Server enables organisations to create the functional equivalent of a data warehouse at a fraction of the cost. It also allows companies to store and transform existing business documents and reports such as those created from ERP, CRM, accounting or mainframe applications into on-demand browser-based or Microsoft Excel spreadsheet tables, summaries and charts for online analysis.
According to Datawatch, the new version of Monarch BI Enterprise Server features customisable user interface scheme and enhanced Excel exporting capabilities. It also allows the storage of unaltered, original reports as a compressed archive side-by-side with working reports to help create a document compliant environment.
In addition, the ES Extended Annotation, ES Report Search modules, ES Spreadsheet, ES Report and ES Collaboration come in the base version of Monarch BI Enterprise Server V5. Optional modules of V5 include ES PDF, ES Style, ES TotalView, Datawatch Dashboards, ES Cube and ES Notify.
Monarch BI Enterprise Server V5 comes with support for platforms including Windows Server 2003 32 bit and Windows Server 2008 32/64 bit; SQL Server 2005 and 2008; Oracle 10g and 11g; Websphere 6.1 and 7.0; Tomcat 5.5 and 6.0; and IE 6-8.
John Kitchen, senior vice president and CMO of Datawatch, said: “Organisations today need easy-to-use, cost- effective BI tools that give them the power to solve daily operational issues without building expensive data marts, using complex data access query tools, or burdening the IT department with requests for custom reports.
“Monarch BI Enterprise Server is a pragmatic way to provide everyone from executives to front-line employees quick and easy access to key business information without spending a fortune on implementation, administration, support and training. It’s like getting 80% of the functionality of a data warehouse at 20% of the cost and five percent of the effort.
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