How Data Quality Impacts Manufacturing 4.0
A Manufacturing Use-Case
At a time when major advances in machine learning (ML), artificial intelligence (AI) and internet of things (IoT) are being promoted in the industry, many manufacturers continue to struggle to incorporate advanced analytics into their business processes. Critical to the success of any data analytics initiative is having clean data. The data must be accurately labeled, free of duplicate records, and blended to generate the correct results. This is key to becoming a truly data driven enterprise.