Data Cleansing Strategies, Enabling Reliable Insights from Big Data

Abstract

Large amount of data available for the organization for which by which the same can influence its business decision. As large amount of data has been collected from distinguish resources and as the data has not been filtered which ultimately affect the accuracy of prediction result. Therefore, data cleansing offers the best quality by which the organization will be in great position to make its decision and the data is absolutely ready for analyzation. As the business is getting bigger and bigger therefore everyone organization data is also enlarged with the passage of time and conventional methods are just futile exercise. However, with the concept of data cleansing the large data can be accurately analyzed as well as shall remove the anomalies etc. Data cleansing is the process of identifying the errors, detecting the errors and make them correct as each department and organization gets fail which they do not have correct data and if the you don’t have the correct data you would be not in a position to make a correct data base decision. Thus, most of the originations loses their business position. However, data cleansing is a bit long process and can take sufficient time but is very essential for big data to be correctly analyzed and all the possible anomalies be removed by applying this method.