tyson
02-04-2012, 04:29 AM
Data Cleansing Solution (http://www.enventureonline.com/) is a two step process including detection and then correction of errors in a data set. Data can provide the lifeblood of your business. Clean, accurate customer and prospect data is the prerequisite to any sales, marketing and customer management strategy and can deliver a range of benefits for businesses. Good data quality can reduce wastage. Data cleansing can data match rates when appending additional intelligence to your database.
Documentation is the key to good data quality and if the data is organized properly, it helps in the tasks like checking, validating or correcting of data, improvise their efficiency and further reduces the time and expenditure involved in data cleaning. A haphazard or unplanned activity for data cleaning often ends up in mess and is not productive. Therefore, accountability, transparency and audit-ability are essential elements in the process of data cleaning. Data cleansing emphasizes data precision, granularity and meaning and is concerned with how the content is integrated into business applications as well as how it is passed along from one business process to another. Without clean, standardized and enriched data, companies cannot realize the full value of their business applications. And when items are described differently, inadequately, or incorrectly, it has significant negative impact on the organization. The idea of Data Cleansing is centralized to the improvement of overall quality of data and to make them "fit for use". However, the process cannot be ignored as it is important to eliminate the bad records of data.
Documentation is the key to good data quality and if the data is organized properly, it helps in the tasks like checking, validating or correcting of data, improvise their efficiency and further reduces the time and expenditure involved in data cleaning. A haphazard or unplanned activity for data cleaning often ends up in mess and is not productive. Therefore, accountability, transparency and audit-ability are essential elements in the process of data cleaning. Data cleansing emphasizes data precision, granularity and meaning and is concerned with how the content is integrated into business applications as well as how it is passed along from one business process to another. Without clean, standardized and enriched data, companies cannot realize the full value of their business applications. And when items are described differently, inadequately, or incorrectly, it has significant negative impact on the organization. The idea of Data Cleansing is centralized to the improvement of overall quality of data and to make them "fit for use". However, the process cannot be ignored as it is important to eliminate the bad records of data.