Master data cleaning
Don’t let dirty data hold you back. Our data cleaning services save you time, money, and frustration by ensuring your AI projects are always built on a strong foundation.
Data cleaning can be a goal on its own, or it can be a prerequisite for further analysis of data. Most AI projects require data cleaning as the first step in order to get reliable results. If a data model does not exist, AI can help in generating a reliable model based on the data itself.
- Master Data management is done according to client assignment. Examples of actions / methods are
- Combining of data from multiple sources, e.g. several company internal data sources or external data sources
- Grouping based on classification
- Finding of duplicates
- Data clustering
- Data harmonization and unification e.g. units of measure Inch / cm, code unification or language harmonization
- Correcting spelling errors
- Imputing missing values