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Relevance of Data Audit for company's data assessing

Data Auditing is done to identify, locate, describe and assess a company's or organization's management of their research data assets. The process involves data profiling and assessing the impact of faulty data quality and faulty data audit in the company's performance and profits. Data profiling is done to examine the available data from an existing data source and helps to collect statistics and information about that data. The data auditing is an examination of the company's financial statements by internal or external auditors.

Data auditing determines the fiscal accuracy and responsibility of the company's. Data cleansing or data scrubbing or data cleaning is done to detect or correct inaccurate record from the company's record set while auditing. It also validates the changes and might need normalization. A data set gains similar consistency with other data sets in the system after cleansing.

During data audit, the comparison of two different data sets to find matches to answer a specific question is known as Data matching. The data migration services are are useful to shift data between the various storage systems. It also helps to assess, plan and execute a migration project from one end to the other. This application saves time, cost, application downtime, and loss of productivity during data migration.

Data deduplication, also known as intelligent compression or single-instance storage, is a technique to reduce storage requirements by removing redundant data, which is replaced with a pointer to the unique data copy. One unique instance of the data is stored on storage media after data deduplication during the audit.

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