TeamAmp: How does TeamAmp benchmark?

                                                 TeamAmp uses a two-stage machine learning algorithm to benchmark the data collected during a review against prior knowledge and prior data.                                         ...

TeamAmp: How many projects and reviews are in the benchmarking model?

The benchmarking model uses all data from all projects and reviews analysed by TeamAmp over the last 8 years. The current model contains 77,000 data points gather across 63 projects and 117 reviews....

TeamAmp: What is the region and industry breakup of the data in the benchmarking model?

All the data in the benchmarking model is from Australian based projects with the following distribution across industries:...

TeamAmp: Is there enough data in the benchmarking model to give an accurate result?

Yes, the benchmarking database contains enough data to provide an accurate result. However more important to accuracy is the quality of the data. When using machine learning (Bayesian statistical model) the quality of the data is paramount to be able to “train” the algorithm to learn from each new data set introduced. When your data set is benchmark...