Quality is a major issue when it comes to data and continuous quality improvement is one of the most talked about and implemented management practises today. Most businesses are looking to improve the quality of their data and this is being done by means of data mining and data cleansing services. Data cleansing deals with scrubbing of data to be rid of the errors and inconsistencies in the data being used which are usually a result of using multiple data sources, problems in data entry and invalid data. Scrubbing can help in improving the quality of the data available by leaps and bounds and mining such data is bound to give better results when it comes to quality. Data mining is one of the latest key techniques that are being employed to cleanse data and glean proper information out of it. Datainox offers data mining and data cleansing solutions that are customized to your business needs and we are unmatched when it comes to quality and turn-around times. Read on to learn more.
We provide the following services under the purview of our data mining and cleansing services.
Incorrect contact information can result in loss in communication channels between customers and businesses. Whether it is a phone number, email ID or the physical address, it needs to be correct for your business to be able to contact customers and we help you in this regard by undertaking to identify and correct the mistakes in the address data in your database.
Repeat information not only leads to wastage of space, it also means having to make multiple updates/corrections. Identifying and removing duplicate entries ensures that your data base is free of redundant information and is up-to date. This is essential for marketing campaigns.
When outsourcing transcription services, the company can make more resourceful use of its manpower by diverting it to other activities – all in the interest of the company.
Validating that data present in the database confirms to its type and also ensuring that it isn’t compromised is essential to ensure that applications do not malfunction.
Converting case (lower to upper and vice versa), correcting the gender related information or adding new information to an already existing data as part of data cleansing is also taken up.