Most of the business decisions are taken frequently, due to lack of information and the data that is not trusted, or where there is no access to needed information. Cloud is data and network intensive. The heart disease data with high volume, variety and velocity get generated from different data sources. It provides an ideal solution to analyze the colossal data. Data cleansing is provided as Iaas, Saas in cloud. An empirical analysis is made on different data cleansing tools and the proposed framework minimizes the adverse effect of inconsistency, in accuracy and optimizes quality, reliability, integrity. © 2017 Elsevier B.V., All rights reserved.