The greater availability of data moves along three lines. In the first, the private sector actors use the data, self-produced, as pre-organized blocks of information collected by vertical applications. In the second, a Data Warehouse is implemented, the data are self-produced and acquired from external sources. A third business model concerns companies that use data with different characteristics not easily combined each other, the self-produced part is minimal, a Data Lake is built. The trend is to have digital assets substantially generated and managed outside the company, thanks also to the growing impact of technology. The data integration, from the Small to the Open to get to the Big ones, has a decisive implication for the quality of services, paying attention to the privacy.
This approach shows a dramatically increase in the availability of data which does not always lead to the definition of new sources. Opportunities also arise for the assessment of quality: in business statistics; in statistical-computer methodologies for the construction of multidimensional and composite indicators; in dissemination methods of information obtained both within companies and externally.
These guidelines offer an occasion to approach the correct evaluation of the provided service quality, both for the relevance that the indicators derived from such data play in the evaluation of company policies, and for the impact on the economic and social aspects and development of a country.