What's dirty data and how to fight against it?

Dirty Data consists on data which does not represent the reality.
More than half of the users give false data on the internet.
Hocelot against dirty data.

What's Dirty Data?

Hocelot against Dirty Data: its veracity, a key difference

Data has turned into an enormous potential tool for results optimizing, but how do we distinguish between truthful and fraudulent data?

Big Data platforms often don’t take Dirty Data into account. In other words, incorrect, incomplete, inexact, outdated or duplicated data in databases.

That’s why Hocelot, a 100% Spanish capital based company specialized on real people’s information verification in real time, helps companies verifying that information through Data Standardization & Enhancement. Thanks to it, we’re able to correct, normalize, organize or discard that dirty data which is provided by users to companies’ databases.

How to fight against Dirty Data?

Companies  face a serious problem when they go for Big Data, as not all of the gathered data is truthful. According to our own studies more than half of the users provide at least one “false field” in the information they give to companies. Furthermore, it is estimated that 25% of companies’ data might be dirty data“, says Antonio Camacho, Hocelot‘s Founder.

Dirty Data is, thus, a new challenge which companies must face in order to reduce identity fraud losses risks“.

Big Data, which consist on managing and analyzing millions of data, has volume, velocity and variety concepts as core pillars. These platforms focused their attention on analyzing and managing a higher volume and variety of data at a really high speed, which is getting higher as time goes by.

However, Dirty Data ads 2 new variables: veracity and value.

Data veracity has turned into a matter of trust for companies, which must know the reason that take users into giving false data.

Hocelot has developed their Data Standardization & Enhancement service against Dirty Data. It allows to analyze a myriad, focusing on 3 fields: personal matters (age, educational background, job searches, etc.), financial (income, saving capability, etc.) and home related (rental income, house estimated value, etc.).

What’s Dirty Data?

Data has turned into an enormous potential tool for results optimizing, but how do we distinguish between truthful and fraudulent data?

Big Data platforms often don’t take Dirty Data into account. In other words, incorrect, incomplete, inexact, outdated or duplicated data in databases.

That’s why Hocelot, a 100% Spanish capital based company specialized on real people’s information verification in real time, helps companies verifying that information through Data Standardization & Enhancement. Thanks to it, we’re able to correct, normalize, organize or discard that dirty data which is provided by users to companies’ databases.

How to fight against Dirty Data?

Companies  face a serious problem when they go for Big Data, as not all of the gathered data is truthful. According to our own studies more than half of the users provide at least one “false field” in the information they give to companies. Furthermore, it is estimated that 25% of companies’ data might be dirty data“, says Antonio Camacho, Hocelot‘s Founder.

Dirty Data is, thus, a new challenge which companies must face in order to reduce identity fraud losses risks“.

Data veracity, a key difference

Big Data, which consist on managing and analyzing millions of data, has volume, velocity and variety concepts as core pillars. These platforms focused their attention on analyzing and managing a higher volume and variety of data at a really high speed, which is getting higher as time goes by.

However, Dirty Data ads 2 new variables: veracity and value.

Data veracity has turned into a matter of trust for companies, which must know the reason that take users into giving false data.

That’s why, Hocelot has developed their Data Standardization & Enhancement service which allows to analyze a myriad, focusing on 3 fields: personal matters (age, educational background, job searches, etc.), financial (income, saving capability, etc.) and home related (rental income, house estimated value, etc.).

Thanks to our Standardization & Enhancement service, we are capable of realizing a further analysis for each user, as we analyze a myriad of personal and professional data. Among them are: birthdate, an important issue if we take into account that 23% of users admits having faked their data ocasionally.

“Gracias a nuestro servicio de Standarization & Enhacement, somos capaces de realizar un análisis más exhaustivo de cada usuario, ya que analizamos infinidad de datos personales y profesionales. Entre ellos, la fecha de nacimiento, un factor importante si tenemos en cuenta que un 23% de los usuarios asegura que lo falsea de forma ocasional.”

About Hocelot

Hocelot is a 100% Spanish capital based company specialized on real people’s information verification in real time. It’s about objective and useful data, which gives value, in order to optimize any business

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