[By NBC-1TV H. J Yook]Sparta Systems, Inc., an industry pioneer and leader in enterprise quality management solutions, today announced the availability of TrackWise Analytics, an enterprise business intelligence (BI) solution that helps redefine the benchmark for quality systems. The solution introduces real-time analytics and ad hoc reporting capabilities to the core quality management functionality of Sparta‘s flagship product, TrackWise. TrackWise Analytics is released as part of TrackWise 8.5, the latest version of the Company’s market leading enterprise quality management software (EQMS), which also touts advancements in search, querying and web services integration.

In today's demanding market, businesses must be able to leverage quality system data to raise awareness of quality among executive management, improve operational visibility and empower faster and more informed decisions. The advanced, real-time data analysis capabilities of TrackWise Analytics enable organizations to turn quality data into insight and action. As a result, they are able to quickly identify emerging trends and implement proactive quality management strategies that address the cost of poor quality.

The new TrackWise Analytics solution empowers users with easy to use drag-and-drop reporting and charting capabilities which deliver real-time intelligence and reduced dependence on technical staff for report creation. Fully embedded in TrackWise, TrackWise Analytics eliminates the need for integration and data migration, lowering a company's total cost of ownership.

“Our team was given the opportunity to beta test TrackWise Analytics and we were extremely impressed with the solution‘s functionality. The technology’s ease of use and key features made it possible for us to identify and respond to quality trends more quickly,” said Robert Davenport, Director of Quality Operations at Par Pharmaceutical Companies, Inc. “Our TrackWise users were able to easily analyze business data, and create tailored reports to meet various organizational needs. This resulted in a quicker generation of routine quality metrics, reduced data analysis times for investigations and quality decisions, and enhanced management visibility of quality trends.”