Quantitative Management

“Enhancement of organization’s R&D capabilities, achievement of project objectives and employee performances can be answered exactly only through quantitative statistics and analysis of R&D.”
  • Automatic summary of quantitative data on project progress, task, workload, documents, changes, defects, needs, review, and risks allows project operation state to be clear
  • Flexiblely defined of project quantitative KPI, develop of quantitative targets, automatically aggregated results to show deviations intuitively and generate process capability baseline (PCB)
  • Flexible definition of project portfolio dimensions, custom-define health indicator, automatically push of the exception information , healthy state shows visually in one page
  • Automatic summary of an individual’s objective job data in a time period, quantitative data on work involvement, task quality, document quality and problem solving, etc.
  • The Company can flexibly define statistic report templates, and calculate complex correlation automatically to form statistic statements that conform to its requirements
  • Automatic summary of processing time of each step identifies optimizing points of flow and reduces flow waiting time
  • Fully open data list structure allows users to flexibly extract and collect business data to form correlative statistic statements
  • Online meets CMMIL3 organization level requirements, and continual operation meets CMMIL4 quantitative management level
  • Quantitative summary of defect data allows objective appraisal of current product quality, and supports product launching policy
  • Quantitative summary of objective data of technical review supports review expert management and avoids incompetent personnel
  • Quantitative summary of risks and problem data promotes pre-alarming capability
  • Quantitative summary of objective data of market demands promotes speed of responses to clients’ needs
  • Quantitative summary of document quality data enhances quality level of staged delivery, ensuring timely formation of organization’s intellectual assets
  • Quantitatively summarize task data and analyze job completion efficiency and result quality to achieve faster, better and cheaper operation
  • Quantitative summary of workload data identifies resource bottleneck and avoid uneven busy/idle state
  • Statistics based on resource use state fully demonstrates busy/idle state of resources

Fully quantitative summary of all R&D businesses

The engine property of RDM statements allows users to flexibly define statistic charts of different types (histogram, pie chart, line chart, bar chart, etc.) for different business objects (task, workload, document, defect, review, change, risk, issue, etc.), thus supporting fully quantitative management of R&D businesses.

Support quantitative management of R&D to help the organization promote CMMI

RDM has helped nearly 20 enterprises successfully promote CMMIL3-L4 and obtain corresponding certificates of capability maturity grade, and released enterprises from a lot of Excel statistic statements and strenuous data collection and summary. RDM can also achieve automatic data summary to form corresponding organization capability data baseline.

Statistic data can be exported as Excel file, and open data list design allows users to flexibly define items to form personal statements

All RDM data can be exported as Excel file, and users can flexibly define Excel calculation formulae, and perform secondary processing of data to form required charts; at the same time, RDM opens all data list design so that users can completely perform secondary R&D of statistic charts based on the Company’s business needs.