Artificial Intelligence (AI) and Data Science provide decision-making tools that give an enterprise its competitive advantage. However, the results from these tools become unreliable, even dangerous, if the underlying data id unreliable. It is therefore vital to assure that the data has the quality that is expected of it.
We help enterprises define their data, its syntax, its test criteria, its test processes and its audit procedures. Once equipped with these data quality assurance processes, enterprises can safely rely on results from their AI and Big Data tools.