How to Conduct a Data Audit

Data auditing is a method which helps to identify gaps in your data structures and improve the quality of your data. It can be accomplished in a number of ways by identifying relevant individuals, examining data sources and formats and analyzing data sets to identify duplicates or errors and conducting a technical review of current data processes and technologies.

Identifying Data Sources

An audit of data sources must begin by identifying them within an company. This should include internal information like CRM or databases, as well as external data sources, such as customer feedback or social media data. The goal is to develop an inventory that includes all relevant information. This will give you an idea of the data your company has and how it’s distributed and whether or not the data identified is compliant and accessible.

Mapping Data Flow

Once you’ve a good understanding of the data your company has, it is crucial to understand how it moves around. This is commonly referred to as “data mapping” and involves identifying the various data streams, the people who access them, and the length of time they are kept. This will assist you in identifying any possible security issues that could be present.

If you’ve got an overview of your data, then it’s time to improve. The most frequent changes involve rectifying inconsistencies and eliminating duplicates. This can be accomplished manually or using automated tools.

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