The most important R&D performance metrics
Engineering utilization, productivity and throughput are among the most important metrics for measuring R&D performance. If you want to improve your R&D capability, focus on these three metrics.
Productivity and utilization directly determine throughput, and throughput is the most important of all R&D performance metrics. It measures the rate at which an R&D team develops production-ready products. The higher the productivity and utilization, the higher the R&D throughput. Higher throughput means the R&D team churns out more products in a given period of time. That usually translates to revenue and profits— assuming the rest of the enterprise pulls its weight. Big assumption, right?
To read the full article, click here
Related Semiconductor IP
- NFC wireless interface supporting ISO14443 A and B with EEPROM on SMIC 180nm
- DDR5 MRDIMM PHY and Controller
- RVA23, Multi-cluster, Hypervisor and Android
- HBM4E PHY and controller
- LZ4/Snappy Data Compressor
Related Blogs
- SSD Interfaces and Performance Effects
- Firmware as the performance differentiator for SSD controllers
- Throughput, not productivity, is what matters
- R&D predictability: The path to profitability
Latest Blogs
- lowRISC Tackles Post-Quantum Cryptography Challenges through Research Collaborations
- How to Solve the Size, Weight, Power and Cooling Challenge in Radar & Radio Frequency Modulation Classification
- Programmable Hardware Delivers 10,000X Improvement in Verification Speed over Software for Forward Error Correction
- The Integrated Design Challenge: Developing Chip, Software, and System in Unison
- Introducing Mi-V RV32 v4.0 Soft Processor: Enhanced RISC-V Power