handling dirty data
AI can be Effective in Handling Dirty Data In Supply Chain
Dirty data holds the potential of breaking a well-established project. Truth be told, dirty data goes far beyond duplicate, incomplete, and illicit data. This is the reason why 80% of the job of data scientists include cleaning the dirty data. Business organizations and industries strive to formulate effective riddance of dirty data that accumulate daily. No matter how much effort is put to clean the erroneous data, granules of it are always left behind which too can cause unwanted troubles.
Technology:
- Information Technology > Artificial Intelligence (1.00)
- Information Technology > Data Science > Data Quality > Data Cleaning (0.53)