Written by Yedu 17 Dec Category:
Data is an integral part of any data analytics. Regarding the data collection many things could go wrong be its arrangement, format, spelling error, duplication and extra spaces. Now if data analytics is to be done the data should be in correct format with minimal errors. This is achieved by various data cleansing techniques. So, it’s important to understand the process of data cleaning and the tools which are associated with it. The manual part of it is a difficult part while much of it can be done by software.
Written by Yedu 02 Jun Category:
Businesses understand how important information is to their progress. But only clean and complete information that is relevant to the business will help them progress. Rest of it is junk which will not only occupy system storage but also slow down the processes unnecessarily. The process of cleaning the information is usually outsourced to experienced offshore data services providers that use the latest technologies and proven methods to cleanse the raw information. Customer information is a critical database which has to be maintained properly by all businesses.
Written by Yedu 14 Apr Category:
Data management is an important business process which is usually outsourced due to convenience and cost-effectiveness. Data entry is the most outsourced offshore data services since it is quite cumbersome and requires long time and effort for efficient completion. Whether the data entry services are a one-time or ongoing process, outsourcing is definitely a great way to manage data more efficiently. Data cleansing is another popularly outsourced job where data has to be accurate and complete for the business to use it efficiently.
Written by Yedu 17 Mar Category:
Your Business relies on a database which is a storehouse of all information that is needed to the growth of your enterprise. But if there is inaccurate or irrelevant data present in this database, then this will affect your business drastically. Data accuracy is critical because this information forms the basis of many important management decisions including marketing strategies and pricing. The process of identifying such incorrect data and then removing or cleaning them from the database is called Data Cleansing.