Category: Data Governance & Quality

No one wants to deal with a data audit. You haven’t invested so much time into putting everything together just to have someone else come in and start raising questions. Hopefully, an audit will never happen to you. Still, the possibility that an audit could happen tomorrow is there, and this post is about what a data analytics internal audit is and how to prepare for it.

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A data audit helps you assess the accuracy and quality of your organization’s data. For many organizations, data is the most valuable asset because it can be deployed in so many ways. Organizations can use their data to improve existing processes or services, make important business decisions, or even predict future revenue. And of course, it’s of great value for the marketing team.

However, when your organization doesn’t adhere to standards or processes related to data accumulation and storage, you might end up with poor-quality data. By regularly conducting a data quality audit, you make sure the quality of your data stays high. Even if the quality decreases at some point, you can take immediate action to fix or improve problematic processes.

This article will help you understand how to get started with a data quality audit. First, let’s discuss the importance of a data quality audit.

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Data governance has to do with people, processes, and technology. Those three elements have a big influence on the data you capture and the quality of that data. Data governance helps you define standards and processes so you can guarantee the highest data quality.

This post will explain the benefits of data governance and provide you with seven practices you should consider when implementing your data governance strategy.

Continue reading “What Are Data Governance Best Practices? 7 You Need”