Disadvantages of Data Duplication
- Inaccurate reporting: Proper reporting necessitates precise and duplicate-free data. This is hampered by duplicate data. Reports produced from redundant data are less trustworthy and unsuitable for decision-making.
- Lack of Personalization: For every business, tailoring experiences for individual customers is crucial. You risk losing clients to other businesses if you don’t take action. Duplicate records can undermine your faith in your data, which will make personalization challenging to use in your company.
- Storage Costs: Depending on the type of data you keep, duplicate records may need a lot of space, which might raise storage expenses. Imagine you get an email attachment of one megabyte that was sent by one hundred employees of your organization. 100 MB of storage space will be needed to hold 100 instances of the attachment.
- Increases Bandwidth Requirements: Large amounts of network bandwidth are needed when replicating data across several servers. Data transfers between servers might put a load on your network and can raise operating expenses.
What is Data Duplication?
Data duplication is a computational technique that removes multiple copies of data that repeat. If the method is successfully used, storage utilization may be increased, which might save capital cost because less storage media would be needed overall to fulfill storage capacity requirements.