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It is said that data is the new oil of this era because it nourishes the economy in one and a thousand ways. Social networks, search engines, and e-commerce platforms use data to generate personalized ads; some companies use it to optimize processes and thus save money or to create products increasingly oriented to the needs of their customers.

The point is that currently this data is delivered for free every time a person registers on a platform, when using a browser and visiting a page that, through cookies, stores the user’s movements within the site. Telephone companies can also obtain lots of data because they know the location of users at any given time.

Even when a person goes out, and sensors or cameras capture the image or movements in the city, digital data is produced that is used to create solutions that could translate into money. It is how the big data universe works.


What would happen if companies could be charged for the use of that personal information?


Sometimes you let companies use your data, just by accepting privacy conditions without reading, downloading apps that need access to view your photos, allow a GPS to know at all times where we are, or storing images in a cloud, to name a few.

Aware of the growing value of information in the economy, more and more companies are emerging that try to treat people’s personal info with care as a differential value.

One solution would be to create a decentralized market of data so that users can appropriate their information and sell it safely and anonymously.

It is estimated that, at present, the data that a user passively generates annually just by browsing the web, using social networks or different applications can be worth USD $240.

From the point of view of the data-buyer


Organizations receive anonymous data packages and use them for their research or projects. Being a decentralized market of anonymous data, the challenge is to know if that information is reliable because there could be many false profiles generated from different devices to create money.

Banks, for example, could be financial data verifiers and telephony companies could be responsible for verifying geolocation. The truth is that all entities that can collect and control data could eventually become verifiers.

Who would want to buy data that circulates for free?


For starters, it should be noted that although several companies collect information, not all can do so in an adequate, safe and orderly manner. Proof of this is that there are companies responsible for processing the large volume of information that is circulating on the web and then offering it, anonymously, to different companies.

Within the various measures that are specified in this regulation is the portability of data — which will allow the user to receive the personal information that has been provided to an entity, in a structured and commonly used format, to grant to another organization. It will work like number portability, but in this case, the asset that the user has is his personal info.

This initiative puts greater responsibility concerning one’s data in the hands of the user. In this sense, rights of the user are recognized, and a mechanism is provided to enforce these. 

Democratize access to data and the benefits it generates


The battle for some is not to oppose the collection and processing of data but to ensure that users can also take advantage of this new form of wealth generation. At present, the benefits are concentrated in few hands, but through some new proposals, data could be democratized and its benefits distributed in a more equitable way.

With a positive outcome, we will be able to cash in on our data and have extra income just for doing data-generating day-to-day activities.

In the centralized internet model, the user transfers his data to large giants such as Facebook, Google or Microsoft. In return, he receives information of all kinds and for different utilities: from a job offer to meeting friends and beyond.


There have always been analytical data systems, but the fact is that, with the emergence of information technology, we all generate vast amounts of data continuously. Also, we have developed tools to capture data that we do not knowingly disclose, and they are manifold: access controls, access to wifi, email, social networks, geolocation, the use of our phone, Internet cookies, our credit cards and more.  We are generators, conscious or unconscious, of data and more data.


What is Big Data for?


Well, the info that we generate forms a valuable and gigantic data package that, properly analyzed and managed, can give information about our habits, our tastes, our way of buying, our health, our socio-economic position, political ideas, customs, and beyond.

And that information is gold when it comes to being able to understand the consumer, create the profile of the client, create advertising or communication campaigns, improve the service, launch products, improve them or vary their prices.


3 tips to sell more thanks to Big Data

The success of an online store is often due to strategies that allow you to multiply sales opportunities as well as the level of personalization and customer satisfaction.

73% of online shoppers prefer to make transactions on websites that use their data to offer them a more relevant shopping experience, according to Digital Trends. Most visitors prefer to be recognized when it is not the first time they visit a website and appreciate that the offers they propose are related to their tastes, interests and past experiences.

According to mybuys.com, 48% of customers spend more when their shopping experience is personalized in the different channels they use. Follow our advice so that your visitors become customers that you can subsequently retain by taking into account their tastes and expectations.

1. Exploit your store data


What are the products that attract the attention of your visitors? Which ones end up buying?  The control panel will be of great help.

Has a product been consulted frequently but hardly bought? Consider why and draw conclusions. If your prices are not competitive, reduce the margins and propose corresponding items to compensate for the loss, or look for other suppliers.

If an item is particularly profitable; adopt the necessary means to sell more units. Reserve a prominent position for it, incorporate the opinions of customers, put it as part of a pack (consisting of several items sold at a lower price when purchased together) to increase your average basket and publicize other items.

Google Analytics provides you with precious information about your visitors: geographical origin, age, sex. You will also know the way your visitors arrive (Google, Facebook, price comparison, marketplaces, links to other websites, etc.).

To take advantage of this data, create your free account on Google, and then copy and paste the code that you will receive to insert it into the label provided for it in your administration space or codebase.


      2. Take advantage of the cross-channel


E-mailing and newsletter


E-mail is first in advertising support, generating traffic to websites and offers a very powerful virality: 44% of Internet users have already shared offers received by mail, and 28% indicate that they have visited a store after receiving an e-mail from you (Study E-mail Marketing Attitude, 2014).

To get the most out of e-mailing, segment your customer base according to the purchase frequency and the amount of orders.

In this way, you will be able to carry out more effective, specific actions to refine the segmentation through particular offers. Both for a large consumer of products at a moderate price, and a specific buyer of products at higher rates, the analysis of your website’s data will allow you to propose specific offers through channels.

Thus, the objective of Big Data, like conventional analytical systems, is to convert the data into information that facilitates the decision-making, even in real time, of many aspects of the company’s strategy and, specifically, from the marketing point of view. If we know our consumer, we can sell more and target better. Marketing actions will be more effective, and we will be able to measure our investments’ returns much better.

A hybrid cloud is an optimal way to get the most out of the cloud. It combines the best of the Private Cloud and the best of the Public Cloud, and in this way, the company that adopts this type of solution has more possibilities to cover the needs of any project. Currently, there are two modalities of hybrid cloud:

Housing: sell or rent a physical space of a data center for the client to place his machine there. The company gives the current and the Internet connection, but the user can choose the server.

Hosting: It is a service that consists of hosting different products in specialized centers (data centers). The products can be from web pages, web applications, dedicated servers, and even virtual servers, and everything is put into the data center itself — the end customer does not have to buy anything.

Advantages of the Hybrid Cloud

  • Saving– The hybrid cloud helps organizations save costs, both in infrastructure and in application support. It presents a more moderate initial investment.
  • Scalability– The hybrid cloud is a system capable of adapting to the demands that each company needs, for space, memory, and speed. By moving as many non-critical functions as possible to the public cloud, the organization can benefit from the scalability of the public cloud and, at the same time, reduce the demand from the private one.
  • Security– Having the most critical data stored in the private cloud not only ensures that they are well protected but also provides that company information is stored according to the parameters established by current data protection regulations.
  • Flexibility– Having the advantages of the public and private cloud within reach allows organizations a full range of options when they have to choose which service is best for each distinct need.

Disadvantages of Hybrid Cloud

  • Reliability– The reliability of the services depends on the technological and financial capacity of the cloud service providers.
  • Information– The separated information of the company must travel through different nodes to reach their destination, each of them is a source of insecurity.
  • Centralization– The centralization of the applications and the storage of the data creates an interdependence of the service providers.
  • Security, privacy and compliance– Security can also be stress in the cloud, mainly if you handle grouped data and customer information. Consistency in the cloud can also become a problem, which may require the creation of a private cloud, if necessary, to protect private data.
  • Proximity– Ensure that all PC viewing and programming devices are impeccable with web-based organization, stage or establishment. While the IT department may have some greater degree of control in the regulation of the mix, proximity is often “what you see is what you get” in terms of incidental expenses.


The truth is that there are still advantages to mention if we compare cloud against hosting our server or use a second PC to perform a backup. There is a limitation — that is, the Internet — but the conception of this as a rule is beginning to disappear, as the world of tomorrow will have internet in all parts of the globe.

If we want to take advantage of working online, the cloud offers us a more versatile and efficient solution. But it’s important to consider all these advantages and disadvantages to weigh in if a cloud is the best option for you or your business.

Recently, we’ve been seeing a few articles about how the cloud is going to kill all Dedicated Server Hosting an how the Cloud Computing will kill the Server market.

We’re here to say that no, the cloud isn’t killing dedicated servers. It’s much more complicated than that. And, the dynamic between dedicated servers and the cloud is still changing. But we’re already beginning to have a good look at what things will look like when the “dust settles”.