Data cleansing solutions
Data cleansing is the process of uncovering and correcting inconsistent records from a table, a set, or database. This is used mainly in databases to identify imperfect, incorrect, erroneous and irrelevant parts of the data and then modifying, replacing or deleting the incorrect data.
After the Data cleansing process, a data set would be in line with other similar ones in the system. The irregularities that are identified or removed may have been initially caused by different dictionary definitions of similar units, may have been caused by human errors, or may have gone corrupted in communication or storage.
Data cleansing process
The real process of data cleansing will involve correcting typographical errors or correcting values against a known list of entities.
High quality data needs to pass through a set of quality checks. Those include:
Uniqueness of the data
Data cleansing process is an important feature attached to data analysis during which the information obtained is examined, and erroneous data are corrected. Data cleaning is usually done during the data entry stage.
Market Research Data cleansing specialists :
Informatics Outsourcing's Data cleansing Specialists will ensure that your dirty data is cleansed and ready to be analyzed for business decisions. We have worked with customers in North America and Europe to carry out advanced statistical analysis on market research data and instrumental data.
Outsource Market Research Data Cleaning Services:
We have well trained software professionals and statisticians to carry out complicated tasks in data analysis. To know more about out Market Research Data Cleaning services, CONTACT US with your requirements.