Data audit is the method of performing a thorough data audit to gauge how the data is correctly fit for a given goal. This requires evaluating the data top quality and assessment the effect of bad quality data around the overall performance and profitability of your company. This also involves ensuring that the organization is using the information correctly, has the right balance of data, and is able to utilize it in a manner that meets the objectives in the business. This kind of also consists of making sure that every data applied to the business is secure, accurate, and up-to-date.
The info audit is usually divided into two broad categories — data quality audit and info management review. In info quality exam, the focus is definitely on determining the current state of data quality and figuring out areas where improvement is needed. Data quality audits usually matter the entire process development needs of information acquisition, data cleansing, data maintenance, and data examination. Generally, through this type of review companies apply specialized tools to perform the detailed analysis of the company.
In data audit, the objective of the audit is to check whether the measures taken to gather, sort, and assess data are appropriate for getting together with the specific applications or requirements. Poor quality info sources may result to incorrect conclusions, inaccurate and imperfect information, and bad business decisions. Poor quality info may also impact the decision making procedure for the company, which in turn will have a bad effect on the profitability and the products and services. Consequently , data auditors need to check the entire process from collection of data to analyzing the information to the using the data.
