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When you develop a data security architecture and strategy for your organization, your main objective is to protect the organization’s data.

To do that, you first need to identify all threats and vulnerabilities associated with that data and inform the business about the security risks you identified. Next, you need to introduce appropriate countermeasures to manage those risks based on the risk appetite of the organization. To do that successfully, you need data security controls and you need to have a firm grasp on what the primary objective of data security control is. Today, I want to help by answering these questions in this post.

First, we’ll cover the definition of data security controls, what their main goal is, and why understanding security control objectives are important. Then, we’ll review the seven main security control types and their primary objectives. Following that, we’ll dive into security control categories that allow us to further define these controls. Let’s start by first defining data security controls.

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Data management helps you and your organization capture data in a structured and organized way. Also, data management helps improve data quality and makes the data easier to discover. Correct data management implementation brings many advantages to your organization, allowing you and your team to make more informed decisions and improve inefficient processes. But what does data management include?

Data management tackles topics such as data collection and data processing. Let’s take a deeper look at data management. In this article, you’ll find out some of the most important data management best practices and pitfalls.

Continue reading “What Does Data Management Include? Introductory Guide”

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.

Continue reading “How to Perform a Data Quality Audit, Step by Step”