What Is a Data Quality Audit? Ensuring Your Data Integrity

What Is a Data Quality Audit? Ensuring Your Data Integrity

Companies maintain huge volumes of data. This data may contain codes, test data, and financial information as well as a customer database. However, maintaining this data can be costly. This is because for storing huge data you have to get the services of a data center. The worst case being you may have many pieces of unused data like former customer information, for example. You may also have archived audit reports, which are no longer of any use. But how do you check what kind of data is useful and what isn’t? The answer is by carrying out a data quality audit.

In this post, we’ll discuss what a data quality audit is. We’ll also explore the process and importance of a data quality audit. Additionally, we’ll learn about the tools you can use for this job and how the process will ensure your data integrity. So, let’s get started.

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secuirty camera on a fence

What Is Data Security Management? An Introductory Guide

Have you ever wondered what data security management is and what it does? Why do you need it in the first place? If you have, you’re in the right place.

This post is about data security management and helping you find the answers to these questions. If you need a firm grasp on the concepts of data security management or maybe you’re wondering about its responsibilities, this post has you covered. I’ll also give you a few tips to start your journey. Let’s start with data security at the most fundamental level.

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one way sign

What Is Data Compliance for Small Business?

Here’s a common scenario for most businesses.

A potential customer visits your website, and instantly you have data about their browser and site interactions. At some point, that potential customer decides to share some information with you. For example, they give you their name and email address in order to receive your newsletter. Their personal information is now in your system. Next, the customer emails or calls about services or price levels. Your system saves these messages, too.

Now, let’s say the customer decides to buy a product and gives you their credit card details. From there, you expand your product offerings and email your customer to offer them discounts. And finally (it’s sad, but it happens), your customer might cancel their purchase of your product.

These are all things that you might do during the acquisition, retention, and management of a customer.

All of this sounds pretty reasonable as part of business operations, right? Generally, yes. But ask yourself these questions:

  • Are you actually using everything you collected? Or are you collecting it just in case?
  • Can any of the data you’re collecting be used to identify a specific person?
  • If a customer asks what data you have about them, can you give them a list?
  • Is anything you collected protected by law?
  • If a customer wants to end their relationship with you and asks that all their data be deleted, can you do it? Are you actually required to do so?

If you struggled to answer these questions, don’t worry! They aren’t always easy questions to answer. By the end of this post, you’ll know exactly what you need to do to ensure proper data compliance in your small business. We’ll achieve that by answering these four questions:

  1. What is data compliance, and why do you need it?
  2. What are some major standards involved in data compliance?
  3. What’s unique about data compliance for small businesses?
  4. What are the right practices to put in place to improve data compliance in your small business?

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why audit a data center

Why Audit a Data Center? 5 Checks to Ask About

Data is highly valuable. Your organization possesses not only your data, but also your customers’ as well. Any kind of data theft or misuse may lead to huge monetary loss. In the worst case, your customers may sue you, or your organization may face bankruptcy.

So, if the data grows beyond your storage capacity, where should you store it? Let’s rephrase the question. How can you store the data securely?

The answer is data centers. But how can you be sure a data center will keep your data safe? Also, how will you know whether the data center facility is right for your storage needs? You carry out audits.

At any time, you can carry out an audit to check a data center’s performance. You can check the compliance standards and whether the facility is ready to operate. Sometimes, customers themselves carry out auditing activities. Other times, they hire a third party for auditing.

In this post, you’ll find out some important auditing activities to carry out before choosing a data center. You’ll learn what to ask while auditing the data center, so you’ll know whether the facility will keep your data safe. You’ll also find out whether the data center is certified and how its staffers would handle power outages or natural disasters. Learning all these details is an important part of finding out how to DevOps your data.

Let’s get started.

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How Has Big Data Improved the Audit Process?

How Has Big Data Improved the Audit Process?

As information systems advance, data generation increases. There was a time humans owned and generated data. But for the past few years, the technology trends have been changing. With these changes, the definition of data has broadened. For instance, it’s not necessary for data to have a structure, like having the same data type or organization pattern. In other words, the data may contain different data types that are randomly arranged. Machines can generate information as well. Data can also exist outside the corporate boundaries. Data is growing as time goes by. We’re using the term “big data” to describe this portfolio of data. So, while thinking about how this data can be managed for better reporting, you may wonder, how does big data come into the picture?

In this post, we’ll discuss how big data has improved the audit process. But before that, we’ll get to know what big data is.

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What is test data management in software testing?

What Is Test Data Management in Software Testing?

Testers have quite a lot of responsibilities. Often, when a tester thinks that they’ve covered all the test case scenarios, a regression defect appears. Usually, it appears at a late testing phase or when some new code changes are pushed in the application—the worst case being when the tester from the client side catches these defects in the production environment. Problems like this arise when a proper test data management (TDM) strategy isn’t in place. Managing data is, in fact, the hardest part of the software development life cycle (SDLC).

In this post, we’re going to learn about TDM in detail. We’ll get to know what test data and test data management are. Also, we’ll check out why TDM is important and the challenges that come along with it. Let’s dive into the details.

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What Is Data Management and Why Is It Important?

Digitalization is happening at an even faster pace these days. This means there’s more data than ever before. Organizations can capture all this data to optimize their businesses. In theory, every business can capture data. For example, a hospital captures data about its patients and their diseases, treatments, and much more. A pharmacy can collect sales data and customer data. Any type of data collection is possible!

If your organization doesn’t manage data properly, then the collected data will be scattered and hard to analyze. These problems can be especially tricky if you’re trying to DevOps your data.

To prevent disorganized, inaccurate data, it’s important to learn about data management and its importance. We’ll also discuss common data problems and how to solve them.

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chess game with pawns knocked over

What Is Test Data Management Strategy? A Complete Explanation

As systems become more isolated and autonomous, teams diverge from having shared, centrally managed test data. Legacy test data, which many teams use, can cause problems when it changes without team members’ knowledge. You may get lots of advantages using these more independent systems, but you now have to deal with the pain when your older test data management strategy doesn’t hold up. You need a new way to manage our test data and to make your problems visible.

In this post, you’ll learn how to strategize to conquer test data, just as a general strategizes to conquer a territory. You’ll find out the key elements to a test data management strategy, including what tools to use and how to measure success. We’ll also cover some tactics you can apply to ensure a  strong strategy. Consider this an Art of War for test data management.

I hope this post gives you the confidence to implement your own strategy successfully. Let’s get started!

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