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Learn how clean, high quality data can make your sales and marketing pipeline more effective
Authoritative data refreshed every week
Directors, Shareholders and Key Managers
Corporate Web Sites including e-commerce
Social data flows form several sources
Analysed in near real time
70.000 news item analysed every day
Complex and ever-changing data
The most reliable quality data is like a picture of a starry sky.
When you take the photograph it captures the reality of the moment but after only a fraction of a second that reality has changed. The position of the stars above the horizon, their brightness, the clouds in the sky ..... Data changes constantly – as you read these lines there are new businesses being founded, changing their sites, activity, directors, ...
That's why we monitor more than 200,000 significant changes in the core data every week.
Industry Code (ATECO/NACE/SIC)
Local Branch details
General purpose email
Emails by functions
Number of employees
Participation to tenders
EU Research Projects
EU Cohesion Fund Projects
Operators of Public Services
Content Management Systems
Directorships in other companies
Shares in other companies
There's no such thing as perfect data. But we come close.
Atoka triangulates data from several sources, in order to at least double check it's quality.
Our goal is to provide you with the best data on the market.
The Register of Companies, envisaged by the Civil Code, was fully implemented by the Law 580/1993 concerning the reorganisation of the Chambers of Commerce and by the subsequent implementing Regulations, and its operation is entrusted to the Chambers of Commerce. The data indicated in Atoka as "Cerved source" originates from Cerved Group S.p.A., one of the official distributors for the Register of Companies of the Chambers of Commerce. These data are corrected, supplemented and enhanced by the daily work of Cerved analysts.
The data that we indicate with the tag "Web source", such as website and social media addresses as well as keywords, originate from public sources (websites, social media channels, etc) scanned by automated programs that use algorithms very similar to those of common search engines (e.g. Google, Bing, Yahoo, etc). This data is then corrected, supplemented and enhanced by Atoka's editorial team and by its users.
THE DATA INFRASTRUCTURE: MACHINE LEARNING, SEMANTICS & BIG DATA
Atoka uses Big Data technologies and it applies a series of data transformation processes based on Machine Learning techniques. The stream represented in this image above is a simplified overview of the complex data curation process performed by Atoka on billions of different data points coming from various data sources.
The world of business data behind Atoka starts from a complex system of large-scale crawling of the Italian Corporate Web. In a nutshell, this system allows us to:
If you which to know more about the underlying technology, you can read this post (in italian ) by Michele Barbera.