Data Quality and Data Quality

The Tinsa Group, a leader in real estate valuation, consulting and smart data in Europe and Latin America, now includes two companies specializing in the data sector in its group: DataCentric and the recently incorporated DEYDE .

The data companies within the group are now joining forces with a joint value proposition that complements the supply of reputable data with data quality processes. This will enable the implementation of a single, well-synchronised global data strategy that optimises process costs.

This guarantees the client access to the best sociodemographic, real estate or contact data on amazon photo editing market, and the best solution for standardizing, cleaning and providing a unique view of their customer data . The value proposition is realized with:

More than 1.8 billion standardized records from around the world

More than 15 million email and mobile phones with permission
B2B information on more than 3.5 million businesses

 

e-commerce specific services

More than 3,200 sociodemographic and behavioral indicators

A joint collaboration of two specialists with more than 20 years of experience each and who already work with some of the main companies at national and international level.

DATACENTRIC
DataCentric has been supplying the most valuable “fuel” for business decision making since 1994: data.

Our passion for data has led us to build the DataCentric Data Lake. A complex information 1000 mobile phone numbers based on Big Data techniques, connected to the Internet and the most relevant public and private Data Sets on consumers, companies and territories. In this way, we develop vertical solutions and APIs to be able to take action and make better decisions in real time.

DEYDE
DEYDE Calidad de Datos is a Spanish multinational company founded in 2001 with the aim of providing quality to Zahrnují Ochranu Produktu Před  location, identification and contact data that companies have about their clients. It offers name standardization, standardization and coding of postal addresses, identification of duplicates and enrichment of postal addresses with economic and geographic data.

Through its own development system, MyDataQ, a technological solution that combines high-quality logic with constantly updated master data, resulting in reliable and always successful automated database processing.

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