The database mining at Metinc consists of:-
A quality control team refreshes data every three months so that the database mining team works with fresh records. This internal set up enables the database mining team to function at optimum quality, using fewer resources making it a cost effective solution for business.
After the records have been refreshed data is then categorically assembled for the analytics department to assess. Latest developments, identification of new trends in the market and assessing pockets of future requirements based on current metrics. This strategical assessment using AI enables shorter wait time for projects to commence work.
Data segregation is an in-house process of segregating data in terms of turnover, geography and company size that enables quick turnaround time for the clients.
A holistic approach where the database is refreshed, analysed and segregated is now ready for processing for clients specific requirements.