Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: 3 Huge Reasons that Data Integrity is Absolutely Essential
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > 3 Huge Reasons that Data Integrity is Absolutely Essential
Big DataExclusive

3 Huge Reasons that Data Integrity is Absolutely Essential

Data integrity is very important when it comes to running any organization, so it should be prioritized at all costs.

Annie Qureshi
Annie Qureshi
7 Min Read
data integrity
Shutterstock Photo License - By Syda Productions
SHARE

Everyone knows about the importance of data security. However, your data integrity practices are just as vital. But what exactly is data integrity? How can data integrity be damaged? And why does data integrity matter? In this post, we will run you through the key things you need to know about these fundamental questions about the integrity of your data.

Contents
What is data integrity?1. Error free2. Uniformly formatted3. Accurate logging systems4. Backup your dataHow can data integrity be compromised?Why is data integrity important?1. Secure your data2. Ensure consistency3. Improve decision makingConclusion

What is data integrity?

Data integrity is best thought of as a process designed to ensure the data you hold remains both accurate and consistent. It should also remain this way throughout its entire lifecycle. Without a process to ensure this, using the data you hold to plan for the future can fast become problematic. Indeed, without data integrity, decision-making can be as good as guesswork.

Most businesses think about data security when they hear the words represented by GDPR or new blockchain technology. However, maintaining data integrity can also be a requirement in law. And regardless of any legal requirements. From aviation to education and healthcare to urban planning, most major industries just aren’t going to be able to function without understanding how to implement effective data integrity practices.

3 key components of high-quality data integrity that you should establish include:

More Read

The Benefits of Brevity
Who Gets the Call When Your Analytics Process Crashes?
4 Organizations Making Meaningful Differences for Diversity in Tech
New Cloud Inventory Solutions Address U.S. Supply Chain Vulnerabilities
Are Cryptocurrencies Disrupting the Economy in 2018?

1. Error free

To begin with, you need protocols in place to ensure the data you input is free from any errors. Any protocol will also need to take account of different formats to ensure information collected on paper is just as accurate as anything collected digitally. This can be achieved through input validation, inbuilt flagging systems online, or simple review. Automated processes can be established to double-check the data.

2. Uniformly formatted

Data can be accessed most efficiently when it is properly formatted, consistent, and easily searchable. Ideally, a secure version should be stored in its original format so that no matter where it is used, original accuracy can be returned to if anything becomes compromised after continual changes in different settings.

3. Accurate logging systems

As well as tracking the date and time of events, the author of any changes to the data you hold should be automatically logged. Ideally, this should be automated and happen at the moment an event or change occurs. If there are manual inputs required for any stage of a logging process, this should happen at the moment of change.

4. Backup your data

It is vital to have a backup of your data. Depending on your needs, this can take place overnight or more frequently. This process can also be fully automated so need not clutter your thoughts once in place. When you keep two copies of the data. And both begin life in exactly the same form. It becomes much less likely that you’ll ever lose or compromise your data.

How can data integrity be compromised?

With 1.7mb of data generated on average per person every second in 2020. And 90% of all the world’s data having been created in the last 2 years. There are innumerable ways that the quality of data businesses use can be compromised, be it through inaccuracy or damage. It could happen physically in transit or virtually when shared across networks.

Data can simply become corrupted without ever being moved either through malicious attack or simple hardware failure. Even with careful preparation and the best of intentions, system changes and software upgrades can cause issues in terms of data integrity. However, once data is damaged, corrupted, or compromised, it’s not got the same value to your business.

For that reason, even though it’s likely some data will be damaged or compromised in some way, it’s vital to ensure you know when it has. With good data integrity practices in place, this is much easier.

Why is data integrity important?

As you can see from the key components of data integrity practices, it is vital to ensure quality and traceability. However, perhaps even more so, it is important because it ensures recoverability. With proper data integrity management in place, you can also take a step back and retrieve your data in its original format. In this way, you can ensure the security and accuracy of all of your business data.

Here, we outline 3 of the key reasons that you should make good data management practices an integral part of your business strategy:

1. Secure your data

When your data can be recovered, easily searched, traced back to its origin, and easily connected with other resources, reusability and maintenance become easy.

2. Ensure consistency

With standardized, well-governed, and connected data, it’s easy to ensure quality outputs consistently.

3. Improve decision making

If you are confident, you’re working with high-quality data, you can be sure you’re making decisions on the best available data to you. Indeed, you’ll be able to make more detailed insights and drive ad performance.

Conclusion

Whilst often overlooked, data integrity is vital to ensure you are able to make the most of your data. You can also stay on the right side of legislation, keep your own data secure, and are able to easily produce quality outputs from the data you hold.

TAGGED:data integritydata qualitydata security
Share This Article
Facebook Pinterest LinkedIn
Share
ByAnnie Qureshi
Follow:
Annie is a passionate writer and serial entrepreneur. She embraces ecommerce opportunities that go beyond profit, giving back to non-profits with a portion of the revenue she generates. She is significantly more productive when she has a cause that reaches beyond her pocketbook.

Follow us on Facebook

Latest News

big data analytics in transporation
Turning Data Into Decisions: How Analytics Improves Transportation Strategy
Analytics Big Data Exclusive
AI and fund manager software
AI And The Acceleration Of Information Flows From Fund Managers To Investors
Artificial Intelligence Exclusive
sales and data analytics
How Data Analytics Improves Lead Management and Sales Results
Analytics Big Data Exclusive
ai in marketing
How AI and Smart Platforms Improve Email Marketing
Artificial Intelligence Exclusive Marketing

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Jack Bauer and Enforcing Data Governance Policies

14 Min Read

Data Quality Project Selection

6 Min Read

Enhancing IT Support to the Counter Terror Effort: Design Criteria

10 Min Read

Big Data

6 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?