All good analysis start with good data. Although it is a given, you can’t imagine how many analysis need to be rerun because of non-curated data being used as a feed to the analysis pipeline.
Effective, good data means starting from raw data that is quality controlled, double checked and formatted into the best fitting database architecture.
All analysis benefit from this approach, especially techniques like machine learning that are extremely dependent on this database architecture. Because you will want to know upfront: Can the data be continuously added to improve my analysis? Will updates be logged? Which data is available for which algorithm? Do parameters and features join the database? Etc… BISC Global offers this expertise as it is vital to what we do, everyday.
