A Blog on Big Data Analytics and Techology News
ECM TechNews is a blog to share passion in a wide spectrum of technology news. The Analytics TechNews covers news and innovation of data analytics.
We talked about the definition of Collective Intelligence in the previous article. In this article, we will talk about some examples of situations where the predictions made by collective intelligence are more useful than the predictions made by Big Data.
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In the age of Big Data, the collective intelligence of human beings can generate a lot of data to solve some of the major problems of humanity. Likewise, it allows certain data to be analyzed more efficiently than computer algorithms.
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This technical profile, which appeared about several years ago, has become a key player in the success of Big Data projects. What do data engineers do? What are the skills of these highly sought-after experts for whom there is not yet a dedicated training program?
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In general, outsourcing is a practice whereby a company uses another company or individual to perform certain tasks, take over operations or provide services in its place. The subcontractor will then order its employees or computers to perform the tasks or services directly on the company site, or from outside.
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In order to know if a Big Data system will be efficient enough to meet the needs of the company, it is necessary to evaluate and compare it. This is called Benchmarking. To do this, we use suites of specialized tools called Benchmarking Big Data. On the principle of the test bench, analysts test each of the hardware and software features offered by the suppliers.
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Retailers are used to change, as they have been forced by new online purchasing practices to innovate and adapt their strategies to new consumer habits, and the change is far from over as the Edge Computing on IoT offers traditional stores new opportunities to innovate by creating unique customer experiences. Contrary to rumors, traditional stores are bound to last and have good days in front of them if they continue to innovate as well.
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IoT (Internet of Things) is used to personalize the in-store experience with offers related to purchase and navigation history. It provides valuable information about buying behavior, allowing retailers to surprise and delight consumers through different distribution channels. Clearly, the retail landscape is certainly more dynamic and interesting than the more traditional retail models of 20 years ago.
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Most SMEs are still new to Big Data. To experiment safely with all possible ideas and options, they must first and foremost be able to protect all their data. Big Data promises new opportunities for small and medium-sized businesses to help them stay one step ahead of their competitors. The only idea that they can reap benefits is now enough to convince them to embark on the adventure.
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Big Data is revolutionizing the collection and exploitation of data in the real estate sector. With Big Data, real estate professionals have a better knowledge of the market and the behavior of prospects. But Big Data does not stop there, it goes even further with predictive analysis.
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Due to the rise of the Internet and new technologies, the data of each of the users of the net have exploded. In multiple formats: email, video, audio, photos, geolocation…The challenge for companies is to be able to take advantage of this data which is nothing without a huge work of management, sorting, analysis. Data Science is the one that will allow the exploitation of these important volumes of information. It is located between computer science, mathematics and statistics.
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