![]() It should be an essential part of how your organization handles its data for several reasons.įirst, data profiling helps cover the basics with your data, verifying that the information in your tables matches the descriptions. By ensuring that you run a diagnosis and examine the data that you have, you can proactively create a plan to fix many of your data problems and clean up your data warehouse before they can affect your organization.ĭata profiling helps you discover, understand and organize your data. Data that isn’t formatted right, standardized or correctly integrated with the rest of the database can cause delays and problems that lead to missed opportunities, confused customers and bad decisions.ĭata profiling helps you to get ahead of these issues. The amount of data is only one side of the equation – data quality is important, too. In the industrial world, the Internet of Things introduces a multitude of devices generating data, while organizations can access data from biometrics and human-generated sources like email and electronic medical records. Corporate data warehouses must interact with increasingly diverse and intimidatingly large sets of data from different sources like blogs, social media and emerging big data technologies like Hadoop. ![]() The need for data profiling is only going to grow. This knowledge is then used to improve data quality as an important part of monitoring and improving the health of these newer, bigger data sets. Data profiling is an often-visual assessment that uses a toolbox of business rules and analytical algorithms to discover, understand and potentially expose inconsistencies in your data. In our increasingly connected world, the amount of data – and the sources of this data – continue to rise.
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