In any medium to large-sized company, regardless of the type of industry it belongs to, talking about Big Data is no longer a trend but a fact; it has become a requirement. Professionals who are in the different decision-making levels increasingly need to dig and explore the mass of information that allows us to sell more.
The goal must not be forgotten: No matter which industry the company belongs to, we all want to sell more. That is the reason for Big Data and all the subprocesses involved. This is no longer a subsystem of the IT department, but the correct interdisciplinary mix between various professionals to achieve the aforementioned objective.
It would be useless to have the best servers to process information if these routines do not become direct work orders to improve sales and are executed by all the departments involved.
Indeed, specialized groups of IT professionals are up to date with the jargon and dynamics, however, sales, marketing, logistics and other key subdisciplines in business are not clear. From here, we seek to land concepts that will help these non-IT professionals to bring them to reality.
Within a company of relative size, we find departments and dependencies that could be structured more or less like this:
In Marketing: Channels, Category Development , Business Intelligence, Price morocco phone number Revenue Management , Etc. For Commercial we would have: Distribution , Commercial Logistics , Key Accounts , Wholesalers , Etc.
I assure you that within each of these management departments and, in turn, each of their dependencies , there are infinite information needs , which, on the one hand, not even the professionals who make up these departments know exist, and on the other hand, the appropriate method of monetizing this information has not been developed internally.
The vast majority of medium-sized companies and above have databases for managing their operations and a limited integration of their processes to address day-to-day operations. However, the novelty of Big Data is that it offers specific and integrated solutions that constitute the appropriate way to “Monetize Information.”
When we dig into the Macro concept of “Big Data” we can structure three fundamental subprocesses.
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Technical subprocesses: The hardware and software involved go through the effective storage, processing and subsequent service. Due to the immense volumes of information, most of these processes must be done in real time, including the ability to respond or deliver the information service. This is easy to write and read, but from a technical point of view it is very challenging, especially due to the scale and cost of the same.
Analytical subprocesses: In this phase of processing, human beings are still key and fundamental, since in the end we must not forget the objective: Sell more and those who buy are human beings.