Magnitude Software Introduces Noetix Generator for Tableau

New Noetix Generator automates and simplifies access to data within Oracle E-Business Suite for operational and strategic reporting

AUSTIN, Texas – December 22, 2015 – Magnitude Software, a leading provider of Enterprise Information Management (EIM) software, today introduced Noetix Generator for Tableau, a solution that greatly expedites the ability of Tableau users to perform their own analysis and reporting on data within Oracle E-Business Suite (EBS).

“Noetix is the industry expert at delivering simplified mappings of the data structures within Oracle EBS in the form of business views and analytics models,” said Jay Shipley, senior director of Engineering at Magnitude Software.  “Noetix Generator unlocks the power of Tableau, providing simple, intuitive access to rich business metadata for operational and strategic reporting.”

Enterprise applications such as Oracle EBS are designed for efficient transactions, not for easy business reporting.  Business Intelligence (BI) vendors strive to facilitate user-driven reporting from enterprise applications by providing generic report templates, the goal being to help jumpstart the reporting process.  However, these vendors’ tools still require a significant amount of manual effort to map the technical metadata to business terminology in order to make sense to users who are trying to find their data.

Noetix quickly and cost-effectively translates the data access complexities into familiar, easy-to-use business views, providing the ideal reporting foundation for any BI initiative.  For real-time operational reporting, Noetix Generator for Tableau enables direct access to Oracle EBS data in the transaction system with NoetixViews, providing users with the most complete and up-to-date real-time information.  For strategic reporting needs, Noetix Generator for Tableau provides access to the information in the packaged data warehouse using Noetix® Analytics.  Historical trending information is immediately available, along with summarized, pre-aggregated metrics allowing for complex strategic analysis.

Key features for Tableau administrators include:

  • Standardized, business-friendly access to Oracle EBS data via the Noetix Connector for Tableau.
  • Secure connectivity to Oracle EBS data through users’ existing accounts via the Noetix ODBC driver.
  • Simplified administration of multiple business intelligence tools with minimal IT involvement.

Key features for Tableau users include:

  • Simplified self-service access to Oracle EBS data.
  • Business-friendly names for view and table columns.
  • Pre-defined joins and view relationships and hierarchies.

Noetix Generator for Tableau joins the Noetix Generator family of products including Noetix Generator for QlikView, Noetix® Generator for SAP® BusinessObjects, Noetix® Generator for IBM® Cognos® BI, Noetix® Generator for Oracle® BI, Noetix® Generator for Oracle® Discoverer, Noetix® Generator for Microsoft® Business Intelligence, and Noetix Generator for IBI WebFOCUS.  Each of these products is designed to enable users to more easily and effectively access their business intelligence data and create custom reports without IT assistance.

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About Magnitude Software
Magnitude Software is a leading provider of Enterprise Information Management software driving real business results for more than 600 active enterprise customers with over 200,000 users in 100 countries. Magnitude Software offers a family of award-winning applications, from business intelligence and data warehousing to master data management, reporting and analytics. At the core of Magnitude’s business is a passionate focus on customer success and a vision to accelerate and automate the end-to-end process of integrating, managing and analyzing information to support business decision making, while reducing operational cost and risk. For more information, please visit www.magnitudesoftware.com.

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Contact: Rebecca Haas, REVOLUTION Public Relations for Magnitude Software, (503) 380-8292 rebecca@revolutionpr.com