Data audit is a technique to ensure that data is stored securely. It involves examining the sources, creation and format of data sets in order to determine their value and utility for specific purposes. Many institutions and organisations including academics as well as funding agencies, are promoting and implement data audit protocols.
In a business setting, it’s common for relevant customer experience (CX) and marketing data to be siloed across departments, or even within individuals. Sales might have a database containing important customer contact details, IT may store website performance and security metrics, and marketing could use click-through data to create digital marketing campaigns.
It is essential to conduct a CX data audit to gather the data and use it to inform decision-making. It ensures that all systems are equipped with the most recent data, and reduces the chance of costly errors or breaches that can harm the reputation of the brand or cause financial losses.
To conduct a complete CX data audit the first step is to discover and classify your personal identifiable information (PII). This can be accomplished using an array of automated software tools that can identify what PII your company holds and the location it is stored. It can be automatically identified in order to categorize it and make it easier to manage and manage.
It is also possible to develop workflows to ensure that only highly qualified individuals handle sensitive data. This reduces risk and ensures that best practices are consistently followed. This is often known as’seeding which is an effective way to improve security of data while maintaining flexibility across the organization.