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.
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Did you know that Facebook stores over 1000 terabytes of data generated by users every day? That’s a huge amount of data, and I’m only talking about one application! And hundreds of quintillion bytes of data are generated every day in total.
With so much data being generated, it becomes difficult to process data to make it efficiently available to the end user. And that’s why the data pipeline is used.
So, what is a data pipeline? Because we are talking about a huge amount of data, I will be talking about the data pipeline with respect to Hadoop.
Continue reading “What Is a Data Pipeline in Hadoop? Where and How to Start”
Does your business need to gain better data insights? Would you like to collect, organize, and activate data from any source, be it online, offline, mobile, and more? Then you need a data management platform, or DMP.
Let’s start with a brief introduction to DMPs. Data management platforms allow you to organize, collect, and activate audience data from any source. Through this, a DMP will add value to your business by providing insights about your customers.
Today, you can buy a DMP from a number of vendors. However, the cost usually ranges from $80K to over $1M for large implementations.
But don’t fret—you have another option. You can build one yourself.
In this post, I’m going to explain how a data management platform works, features of a DMP, and the architecture for building a DMP.
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As a company grows, their data keeps increasing. Merely storing it in a database won’t do you any good. Your testers may face problems while trying to access any test data from a huge database. To help your business thrive, you must adopt a sound test data management (TDM) strategy. And to do that, you need to understand how test data management works.
TDM can be challenging for a QA team as there are so many factors to consider. So in this post, we’re going to discuss how test data management works. This detailed guide will tell you what TDM is and other relevant details. We’ll check out different TDM techniques and challenges and discover how to overcome them using best practices.
So, let’s dive into the details.
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Technology has driven globalization. And the combination of globalization and technology lets you capture much more data about your products, services, and customers.
However, with this increased amount of data comes great responsibility. Every organization holds personally identifying information and must protect this data accordingly.
Losing data can have a huge impact on your organization. The primary impact includes distorted delivery of products and services, financial implications, and loss of sales. However, there’s also a secondary impact. This may include decreased productivity, slow customer service, loss of customers, and reputation damage.
Let’s look at what data security is, why it’s worth your time and money, and what the different levels of data security are.
Continue reading “Why Is Data Security Important? A Helpful Explainer”
For any company, big or small, data is valuable. But data in today’s world often isn’t safe. This is because cybersecurity threats are increasing day by day. Malware are evolving. Hackers are finding new ways to break through firewalls and encryption. To deal with this, data security compliance regulations are evolving as well. New rules are being proposed that will keep your data safe. But keeping up with the new rules and implementing them is not an easy task, is it?
In this post, we’re going to discuss what data security compliance is. We’ll get to know the importance and types of data security compliance. We’ll also learn some best practices that will help you to keep your data safe.
So, let’s take a deep dive.
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Data preparation is an important aspect of data management. It helps your organization by combining data from multiple raw sources into one valuable, high-quality dataset. Data preparation is an essential step toward improving processes and making informed, data-driven decisions.
This article will help you understand what data preparation is and when to use it. Also, this article will explain four simple data preparation steps to get you started.
Let’s first learn the basics of data preparation.
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Are you wondering how does a data management platform work? Well, you’re in the right place! At its core, a data management platform (DMP) is a complex piece of software that’s able to handle large amounts of data and incorporate many different components.
A data management platform is believed to be the holy grail for a business. Why? It holds all the valuable data an organization needs to operate and innovate. The organization’s leaders make important decisions based on this data.
In short, a data management platform helps you and your organization capture, integrate, and report data. (By data reporting, I mean creating reports or exporting data.)
This post will help you understand what a data management platform is and how to implement one. First of all, let’s discuss how a data management platform works.
Continue reading “How Does a Data Management Platform Work? A Detailed Look”