Big Data and the telecommunications market have long presented strategic alliances that have undoubtedly become (and/or will become) vital for the future of one of the sectors that is currently most affected by customer demands and the need to to have elements that allow companies to significantly outperform increasing competition. These issues are especially relevant in the case of mobile telephone operators , companies that are limited to an increasingly open field and fertile ground for already very high competitiveness , but still with a significant operating margin to accommodate companies. recently created . That's right, the telecommunications market is highly competitive but still offers interesting opportunities.
For all this, it is easy to understand why the telecommunications sector has been betting in a clear and seamless way, for some years now, on Big Data and the added value that data analysis brings to the operations of its model. business, operations undoubtedly closely linked to dealing with data and obtaining sensitive information through them. Big_Data-4 The importance of Big Data in the India Part Time Job Seekers Phone Number List telecommunications sector To understand, in all its dimension, the importance of Big Data for companies in the telecommunications sector, it is necessary to talk about the types of data that are most sensitive for these organizations , which, as we will see, have very defining characteristics of their own. Companies in the telecom sector mainly use two types of data: Static data : This is the data we normally refer to when talking about Big Data; They provide more or less static information on consumption habits, consumer preferences and other information that allows the target audience to be segmented, or trends to be detected with a certain foresight.
This is more complete, reliable and secure data, but it leaves little room for taking advantage of new opportunities if we take into account the high level of competitiveness that exists and, above all, the use of dynamic data for this purpose. Dynamic data : unlike static data, it is highly fluctuating data, captured "on the fly" and renewed with a much greater frequency. They are less reliable, more incomplete and lower quality data, but at the same time necessary for the design of possible scenarios that allow detecting and taking advantage of windows of opportunity, provided that the appropriate analytical and data management tools are available. We see, then, that dealing with data (especially dynamic data) is the main workhorse of the sector, on the back of which an operator or telecommunications company capable of detecting the new windows of opportunity that open has real possibilities of taking advantage over the competition. Data analysis, advanced analytics and design of possible scenarios, essential elements in a sector as competitive as telecommunications, are also the main axes that articulate the Advanced Analytics Dashboard guide , a completely free training resource. In this sense too, there are solutions such as IBM Infoshere BigInsights , which allow you to optimize an analytical environment by applying Big Data technologies.