The Tinsa group, leader in real estate valuation, advice and smart data in Europe and Latin America now has in its group two companies specialized in the data sector, DataCentric and the recently incorporated DEYDE .
Now the data companies belonging to the group join forces with a joint value proposition that complements the provision of reputable data with data quality processes. This will allow the activation of a single global data strategy, well synchronized and optimizing the costs of the process.
This Guarantees the Client Access
To the best sociodemographic, real estate or contact data on the market, and to the best solution for the standardization, cleaning and unique danish mobile phone numbers vision of their client data. The value proposition is specified with:
Over 1.8 billion normalized records from around the world. More than 15 million emails and mobiles with permission. B2B information on more than 3.5 million businesses. 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 a national and international level.
Our Passion for Data Has Led Us to Build the Data-Centric Data Lake
A complex information system based on Big Data techniques, connected to the Internet and the most relevant Data Sets, both public and private, on consumers, companies and territories. Thus, we develop solutions and vertical APIs to be able to act and make better decisions in real-time.
After that, DEYDE Data Quality is a Spanish multinational company. That was born in 2001 with the aim of providing quality to the location, identification. Contact data that companies have of their clients. It offers name normalization, standardization. And encoding 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 data masters. Resulting in reliable and always successful automated database processing.