CRISTIAN RICAURTE
DATA SOURCE
in retail we would find 3 well differentiated data sources. This would be the scheme.
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- Back-office or data repositories, very widespread in organizations. Normally they are concentrated in the ERP, transactional and operational data, and in the DataWarehouse with analytical and historical information.
- Front-office or relationship systems with customers or users. It is, in all likelihood, the part that has evolved the most: think of hotel reservation systems, CRMs to segment customers, loyalty systems or corporate intranets as examples of their
evolution. Web-based systems, languages and services have improved their functionalities, modified purchasing habits and created new lines of business. Most of these systems have been developed from structured data, with powerful managers who have been able to interact with the repositories of the Back-office and feed the DataWarehouse with new indicators. But from here we must include two fundamental changes and determinants in recent years: the emergence of connectivity (ultra-connectivity in practice) with the variety of mobile devices and the explosion of social networks. The first change has meant the arrival of computing in the cloud (data cloud) that has dragged the other systems back and front office - to an orderly migration, and that in turn has also allowed new forms of work, new forms In the second place, the impulse of social networks, the leap to 2.0, has meant a change in the relations between clients, users, organizations, groups ... We will not enter into that subject so studied. At the data level, it has meant a source, almost unexpected, of unstructured or semi-structured information that increasingly takes center stage. Maybe social networks are not the ideal place for business; but they have become the perfect vehicle to inform, comment, advise or prescribe.
I recommend you visit this social media counter to be able to evaluate the amount of
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information that circulates. - The third source of data is the same point of sale. But I do not speak clearly of the transactions generated by the collection boxes; they are assumed already integrated in the back-office of each center and in the global of each corporation.
He aquí una de las grandes revoluciones que están llegando: el internet de las cosas [the internet of things] Todos los dispositivos, sensores o controladores transmiten datos, que recogidos, procesados y refinados pueden dar mucha información. Imaginemos los datos generados por códigos QR, RFID etc; realidad aumentada, dispositivos para neuromarketing, gafas o relojes inteligentes… Todo un universo por explorar (y explotar) Pero es que además estos dispositivos se podrán “relacionar” con otros dispositivos, interactuar, ser activados o desactivados por otros… Y para eso se utilizarán los canales ya desarrollados; internet, cloud y movilidad. Aquí entramos en un territorio mucho más complejo e inexplorado. ¿Cómo responder a la gran cantidad de dispositivos que existen en el punto de venta? ¿Cuáles serán más importantes? ¿Cómo afectarán a las métricas tradicionales? ¿Deberemos utilizar nuevas? ¿Mediremos igual la rentabilidad?
La complejidad, velocidad y volatilidad de este tipo de datos son los retos fundamentales a los que debe responder los sistemas Big Data. Selección, filtro y calidad de estos datos serán sin duda un negocio: análisis con grandes volúmenes de datos, diferentes y complejos. Tecnología y negocio: las dos caras de la misma moneda.
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