Data redundancy occurs when the same piece of data is stored in two or more separate locations and is a common occurrence in numerous businesses. As more companies are moving away indigenous siloed data to using a central repository to keep information, they room finding that their database is filled v inconsistent duplicates of the exact same entry. Return it deserve to be daunting to mediate — or even advantage from — duplicate data entries, understanding just how to reduce and track data redundancy successfully can help mitigate permanent inconsistency concerns for her business. 

How does data redundancy occur?

Sometimes data redundancy happens by accident while various other times it is intentional. Inadvertently data redundancy can be the result of a complicated process or inefficient coding while intentional data redundancy deserve to be used to defend data and also ensure consistency — just by leveraging the multiple incidents of data for catastrophe recovery and also quality checks.

You are watching: Exists when the same data are stored unnecessarily at different places.

If data redundancy is intentional, it’s vital to have actually a main field or space for the data. This allows you to conveniently update all documents of redundant data as soon as necessary. As soon as data redundancy no purposeful, it deserve to lead come a selection of issues which we’ll comment on below.

Download What is Data Redundancy? now. View now

Understanding database matches file-based data redundancy 

Data redundancy can be found in a database, which is an arranged collection the structured data it is stored by a computer system or the cloud. A retailer may have actually a database to monitor the assets they stock. If the same product gets entered twice by mistake, data redundancy take away place. 

The exact same retailer might keep customer documents in a file storage system. If a client purchases indigenous the company much more than once, their name might be gotten in multiple times. Duplicate entries of the customer surname is taken into consideration redundant data.

Regardless of even if it is data redundancy wake up in a database or in a record storage system, it deserve to be problematic. Fortunately, data replication can assist prevent data redundancy by storing the very same data in many locations. Through data replication, companies have the right to ensure consistency and also receive the details they need at any kind of time. 

Top 4 advantages of data redundancy 

Although data redundancy sounds favor a an adverse event, over there are many organizations the can advantage from this procedure when it’s intentionally built into everyday operations. 

1. Alternate data back-up method

Backing up data involves developing compressed and encrypted execution of data and also storing it in a computer system system or the cloud. Data redundancy offers an extra layer of protection and reinforces the back-up by replicating data to second system. It’s regularly an advantage when companies incorporate data redundancy right into their disaster recovery plans. 

2. Better data security 

Data security relates come protecting data, in a database or a document storage system, from unwanted tasks such as cyberattacks or data breaches. Having actually the very same data save on computer in two or much more separate places can protect an company in the event of a cyberattack or breach — an event which can an outcome in shed time and also money, as well as a damaged reputation. 

3. Faster data access and updates

When data is redundant, employees enjoy fast accessibility and fast updates because the necessary information is accessible on lot of systems. This is particularly important for customer service-based organizations whose customers intend promptness and efficiency. 

4. Enhanced data reliability 

Data the is reputable is complete and also accurate. Organizations have the right to use data redundancy to twin check data and also confirm the correct and completed in complete — a necessity when interacting with customers, vendors, internal staff, and also others. 

Watch out for data redundancy disadvantages

Although there are noteworthy benefits of intended data redundancy, there are also several significant drawbacks when organizations are unaware the its presence. 

Possible data inconsistency

Data redundancy occurs once the same item of data exist in many places, conversely, data inconsistency is once the exact same data exist in different formats in lot of tables. Unfortunately, data redundancy can cause data inconsistency, i m sorry can administer a agency with unreliable and/or meaningless information. 

Increase in data corruption

Data corruption is when data becomes damaged together a result of errors in writing, reading, storage, or processing. When the exact same data areas are recurring in a database or record storage system, data corruption arises. If a document gets corrupted, for example, and also an employee tries to open up it, lock may obtain an error message and also not be able to complete your task. 

Increase in database size

Data redundancy may rise the size and also complexity of a database — make it more of a difficulty to maintain. A bigger database can also lead come longer load times and a good deal of headaches and also frustrations for employees together they’ll must spend much more time completing day-to-day tasks. 

Increase in cost

When much more data is developed due to data redundancy, storage expenses suddenly increase. This can be a serious worry for organizations who room trying come keep costs low in order to rise profits and also meet their goals. In addition, implementing a database system can become an ext expensive. 

How to minimize data redundancy 

Fortunately, that is possible to minimize unintentional cases of data redundancy that frequently lead come operational and also financial problems. 

Master data

Master data is a solitary source the common company data that is shared across several applications or systems. Although understand data walk not minimize the cases of data redundancy, it allows companies to job-related around and accept a particular level that data redundancy. This is because the use of grasp data ensures that in the occasion a data item changes, an organization only needs to upgrade one piece of data. In this case, redundancy data is consistently updated and provides the exact same information.

See more: Peak By Roland Smith Chapter Summary And Study Guide, Chapter One & Two Summary

"}" data-sheets-userformat=""2":6723,"3":"1":0,"4":,"9":0,"12":0,"14":,"15":"Arial"">


Database normalization 

Database normalization is the procedure of successfully organizing data in a database so that redundant data is eliminated. This process can ensure that every one of a that company data looks and also reads an in similar way across every records. By implementing data normalization, an organization standardizes data fields such as customer names, addresses, and also phone numbers. 

Normalizing data requires organizing the columns and also tables that a database to make sure their dependencies are enforced correctly. The “normal form” refers to the set of rules or normalizing data, and a database is known as “normalized” if it’s cost-free of delete, update, and insert anomalies. 

When it involves normalizing data, each agency has their own unique set of criteria. Therefore, what one organization believes to be “normal,” may not it is in “normal” for another organization. For instance, one agency may desire to normalize the state or district field through two digits, while an additional may favor the complete name. Regardless, database normalization deserve to be the vital to reducing data redundancy across any company. 

Efficient data redundancy use cases

Efficient data redundancy is possible. Plenty of organizations choose home development companies, actual estate agencies, and companies focused on client interactions have customer relationship administration (CRM) systems. 

When a CRM device is incorporated with an additional business software like an bookkeeping software that combines customer and also financial data, redundant hands-on data is eliminated, leading to an ext insightful reports and also improved customer service. 

Database management systems are also used in a range of organizations. They get direction from a database administrator (DBA) and permit the system to load, retrieve, or change existing data native the systems. Database management systems adhere come the rules of normalization, i m sorry reduces data redundancy. 

Hospitals, parenting homes, and other medical care entities usage database monitoring systems to create reports that administer useful details for physicians and also other employees. When data redundancy is efficient and does not result in data inconsistency, this systems can alert health care providers of rises in denial case rates, exactly how successful a particular medication is, and other crucial pieces of information.

"}" data-sheets-userformat=""2":6723,"3":"1":0,"4":,"9":0,"12":0,"14":,"15":"Arial"">


Reducing data redundancy through data management

Although data redundancy in a database or file storage system can benefit an organization once it’s intentional, this process can likewise be detrimental once done by accident. Companies deserve to alleviate the headache that often comes v data redundancy v Data Fabric. Data Fabric allows you come collect, govern, transform, and share data with internal stakeholders while allowing automated data quality. Try Data fabric today to minimize data redundancy issues.