Fortunately, there is a solution, and it’s called data deduplication.
If you want to reap the benefits of clean data sets, read on as we take a look at what is data duplication and why it’s important.
What is data deduplication?
First up, what is data austria phone number data deduplication? Data deduplication is the practice of eliminating duplicate data sets. It is also known as data dedupe for short.
Duplicate data can be created in numerous ways. One of the most significant is through backups. Regular and strict backups will invariably result in duplicated data sets.
File sharing, inaccurate customer inputs, team entry mistakes, and importing/exporting errors are all opportunities for data duplication.
Why data deduplication is important
Now that you are familiar with the basics of what data duplication is and how it works, let’s explore its importance.
The are becoming enormous. Clean, usable data can be the make or break factor that separates competitive organizations from those that fall by the wayside.
This alone is one overarching reason by data deduplication is so vital in today’s business environment. Here are some of the specific impacts that duplicated data can have on an organization in which data deduping can reverse.
Duplicate data drains productivity
that the average employee what are the b2b buyers preferences today? spends 2.5 hours every day looking for data. This equates to about 30% of the workday.
It doesn’t take much to see that this is an appalling waste of time. If data is not easily accessible to employees, this will impact a company’s bottom line over time. Data duplication makes hard-to-access data even more time consuming to find, because employees may need to check multiple versions of data to ensure that what they have found is accurate and up to date.
Duplicate data confuses customers
When sales and germany cell number marketing teams are accessing duplicated data, this can spill over to the customer experience.
One example of this is if a sales agent requests customers to re-enter data, or bases their interaction with customers on outdated data.