SOCIAL DATA VERIFIER/SOCIAL DATA VALIDATOR - GET ACCURATE DATA EVERY TIME.

It’s the process of identifying and removing or fixing ‘bad’ data. This is usually inaccurate, unreliable, or unfinished data from databases or tables.

The data then needs restoring, removing, or remodelling. Sometimes, if the data is dirty or crude, it needs removing completely.

Data cleaning can be done either interactively with data cleansing tools or as batch processing through scripting.

After it has been cleaned, the data needs to match up with other related datasets in operation.

“Get hands on in identifying and removing or fixing ‘bad’ data. This is usually inaccurate, unreliable, or unfinished data from databases or tables”

What Is Data Validation?

What Are The Benefits?

Cleaning data helps you perform your analysis faster.

This is because having clean data means you avoid multiple errors, and your results will be more accurate.

Efficient data = Efficient staff.

Ensuring efficiency within your business is something we take great pride in offering through this amazing solution.

Although you may be very eager to get results, if the data isn’t clean, the results won’t be accurate.

That means when you present the work, the outcome may not be true.

Therefore, getting used to cleaning data means that you adopt the practice of slowing down and fixing data before presenting it.

Leaving less room for mistakes

As data validation takes up so much time, you will soon learn to be more accurate with the data entered in the first place.

Of course, data cleaning will still be needed for other reasons, but doing it gets you used to being more precise in the first place.

Although it isn’t spoken about as often as it should be, data validation is an essential part of a data scientist’s job.

Especially as more industries than ever are adopting some sort of cloud storage. As the use of data storage grows, the more likely there is to be a problem.

If the data stored is not clean – i.e,the wrong name is next to the wrong number – agents run the risk of making mistakes when contacting clients.

This means that as a professional in the IT industry, it’s your job to make sure things run smoothly in this area. And a huge part of that involves data cleaning.