Transforming data into information
Digital transformation is a mandatory challenge for companies that want to be competitive in today's globalized environment, remaining attractive to customers, they require to anticipate to their needs, and devise new ways of doing things and not going after trends that other companies mark.
There are several elements that act as axes of transformation: people, technology, adaptability and answer, innovation, creativity, business culture, but especially, the data.
The information and knowledge extracted from the data constitute a key factor of success and the fundamental raw material for:
(a) Search for new sources of income
(b) Development of new products and services
(c) Process optimization
(d) Costs minimized
(e) Improved employee workflow and increased productivity
(f) Knowledge of customers and improvement of their experience
(g) Customer acquisition, retention and loyalty
(h) Detection of consumption trends and new patterns of behavior
ChainMaker incorporates processes of continuous improvement for its load crowlers, making them increasingly generic and generating new ontologies allowing to incorporate more data sources, with less structuring, in more languages and greater capacity of integration with data previously Stored.
ChainMaker accumulates data from each movement, operation, or access; and transforms this data into relevant information, finding a big volume of tracks with the purpose to determine patterns of behavior, inferences of offers, demands and potential channels of relation between eCosystem´s members, facilitating and stimulating in this way new business transactions between them.