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We’ve been avid users of the Voxco platform now for over 20 years. It gives us the flexibility to routinely enhance our survey toolkit and provides our clients with a more robust dataset and story to tell their clients.
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Take a peek at our powerful survey features to design surveys that scale discoveries.
Explore Voxco
Need to map Voxco’s features & offerings? We can help!
Get exclusive insights into research trends and best practices from top experts! Access Voxco’s ‘State of Research Report 2024 edition’.
We’ve been avid users of the Voxco platform now for over 20 years. It gives us the flexibility to routinely enhance our survey toolkit and provides our clients with a more robust dataset and story to tell their clients.
Steve Male
VP Innovation & Strategic Partnerships, The Logit Group
Explore Regional Offices
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We’ve been avid users of the Voxco platform now for over 20 years. It gives us the flexibility to routinely enhance our survey toolkit and provides our clients with a more robust dataset and story to tell their clients.
Steve Male
VP Innovation & Strategic Partnerships, The Logit Group
Explore Regional Offices
Exclusive Step by Step guide to Descriptive Research
Get ready to uncover the how, when, what, and where questions in a research problem
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If you have ever lost data on your computer, it can be devastating! You may need to start from scratch or worse, you may never get the files back and will lose valuable data. It’s not always easy to get back what you’ve lost, so it’s important to take precautionary measures to keep the data safe. That’s why data redundancy is important in today’s digital world.
Get ready to uncover the how, when, what, and where questions in a research problem
Data redundancy is the process of storing data in more than one location. The goal is to make sure that there are no single points of failure in the system. It’s a common practice in many businesses. It is like having an extra copy of the data on hand. Having an extra copy of the data will protect the organization’s information in case of data loss. This makes sure that all files can be accessed as needed.
According to a report, 94 percent of organizations that suffer severe data loss aren’t able to recover. This practice ensures that no matter what happens to one database, there will still be a backup copy safely stored somewhere else. That’s important because with data redundancy organizations can protect data against many forms of data loss.
Data redundancy can occur intentionally or accidentally.
Intentional data redundancy occurs when organizations have more than one copy of the data. The same data is retained across several locations within the organization This may be useful if a drive fails or there is a server outage that prevents access to data. In case of Intentional data redundancy, organizations should be able to secure the data and maintain its consistency.
Accidental redundancy can occur when copying large amounts of data to an additional location. After performing an online backup or uploading important files to a cloud storage system, there may be copies of data on both locations. In case of accidental redundancy, duplicate data can lead to data inconsistencies.
Conducting exploratory research seems tricky but an effective guide can help.
There’s a common misconception that data redundancy is equivalent to backup. This isn’t true. When we talk about data redundancy, it means when two or more copies of a file are kept in two separate locations or systems. This type of storage method allows for quick access to all files even if one of the systems fails. If organizations have redundant data on hand, employees may be able to keep working with minimal interruption despite a hardware failure.
Backup, on the other hand, involves keeping multiple copies of files for safekeeping, in case something goes wrong with the computer system. While both methods protect against different types of risks (hardware failure, malware/virus), they also achieve their goals in very different ways.
To successfully eliminate some levels of data redundancy, you must understand what types exist in the business, how they can cause problems if left unchecked, and how organizations can eliminate them. Following are a few key sources of data redundancy that companies should consider when trying to cut down on their use:
In the end, as technology continues to improve our access to data, there’s always going to be a trade-off. Data redundancy is an important method of data storage and to protect the data. This ensures that if a single piece of hardware or software fails, there are still backups to restore the information from.
Although intentional data redundancy can help businesses, it’s important for businesses to watch out for accidental data redundancy. Eliminating as much of this as possible is an excellent way to increase efficiency and reduce potential problems in the business.
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