(1888PressRelease)
December 30, 2008 - This newest version of the popular software management application, DataDrill 3.6.1, focuses on allowing customers to quickly create and deploy a measurement process based on best practices.
Peter Baxter, President and Product Manager, says “DataDrill delivers quantitative project data to software managers faster and more efficiently, especially in organizations that plan to expand or change their processes.” DataDrill 3.6.1 directly assists software project managers with their critical management activities – estimation, planning, metrics and measurement, analysis and reporting.
Additionally, says Baxter, “This release reaches far ahead of the deployment expansions occurring within our DataDrill customer base – our users are rapidly broadening and deepening the scope DataDrill’s usage. To support this, we have added numerous features to make the installation, configuration and operation easier and more manageable.”
• Quickly Create and Use Best Practices Indicators in DataDrill Library
• Populate New Projects Using Tailorable Templates
• Create Project Targets through Estimation API or Planning Wizard
• Synchronize Changes to Best Practices with Projects
• Exchange and Share Indicators with Other Sites
• Support Large-Scale Deployments and Enterprise Infrastructure
About Distributive Management and DataDrill
Distributive Management is the leading provider of performance management and measurement solutions for use in projects and across the enterprise. DataDrill enables companies to more easily and more effectively implement measurement in support of project management, performance reporting, process improvement and initiatives like CMMI. DataDrill is being used in a wide range of industries, including defense, software/IT, technology, telecommunications, banking, and insurance. Distributive DataDrill’s clients include Arbitron, Boeing, BAE Systems, Booz Allen Hamilton, GEICO, GE, Hewlett Packard, Lockheed Martin, NASA, Northrop Grumman, Rockwell Automation, Raytheon, SAIC, and Spansion. Find more information about Distributive Management and DataDrill at, check out website.
###
