The words “big data” have been in vogue throughout 2013. Have business leaders, and especially marketing managers, understood Algeria Mobile Number List all the implications? Big data, in concrete terms, is the fact that economic activity produces, in millions of places, continuous flows of quantified data. And the figures, many of the company’s trades are familiar with them. Producing (correct) figures is even an end in itself for accountants, for example, and all the professions responsible for reporting on the past. But for the leader, it is the future that must be drawn. And the decisions he will make – invest in such and such a project, hire such a profile, set up in such and such a place – are of a qualitative nature.

Algeria Mobile Number ListWhat, then, is the role of figures and statistics for the manager? It is a role of servants, that of helping the decision. Because the manager, like the pilot of an airplane (and as worn as the comparison is!), Lacks direct contact with his market, and almost as much, with his employees. He needs dashboards, dials, counters, which record the situation as objectively as possible in order to report it to him. At this stage of our reflection, the challenge of big data is the same as that of traditional statistical studies: extracting meaning from the production of figures. And yet, the landscape has radically changed: it has gone from desert to ocean.

Today The Need Of Participants In Training On Multivariate

The leaders of the 1960s or 1970s were singularly lacking in data (as were the aviators of the previous generation). The pollsters and accountants were their eyes and ears. “Helping with the decision” was to manage to produce figures on an elusive reality. Researchers or product managers could spend days, weeks, extracting the substance from large cross-tabular listings … Today the need of participants in training on multivariate data analysis or statistics has changed. For at least two years now, their popular demand has been: help us to survive the waves of numbers. It is basically a new discipline, even if it reuses a lot of knowledge from traditional statistics.


It is a question of classifying, labeling, mastering thousands of variables. It’s about visualizing them in the most meaningful way, even when there are millions of data points. It is a question of rendering harmless the aberrant data which slips into these breaking waves and risks damaging all the constructions. It is a question of appreciating the biases which exclude these “data” collected for certain purposes, questions that the analyst asks them for other purposes. It is a question of mentally integrating the standard error which surrounds any figure, because of the uncertainties which marked its construction. It is a question of modeling the past and anticipating the future in an objective way… whereas it would always be possible, in the abundance of data, to find some which go in the direction of the wind.

Recommendation Of Our Expert

This rapidly emerging data science is both qualitative and quantitative. Taming it already brings an asset to professionals who want to help in the decision. Creating a brand is a delicate exercise that requires a clever mix of pragmatism and imagination. You have to be pragmatic so as not to disperse, take into account constraints, respond to a need and make yourself known for one and the same ambition: to sell. And because a brand is an infinite territory of expression, it must be given a positioning, an identity that sets it apart, an imagination that makes people dream. A business is a successful idea

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