Big data it is a multifaceted concept that encompasses many different perspectives. When talking about if big data can crash or it is not necessary to consider which of its facets is being analyzed, because the solution is different in each case. The main alternatives to address big data and forecast its viability are:
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Big data as a concept.
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Big data as a product.
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Big data as a business possibility.
Photo credits: “Swith sphere computer pattern wrapped around them” by Victor Habbick
Big data as a concept, Can it collapse?
The term big data is already so trite that it could be affirmed, undoubtedly some, that has already collapsed, Has hit rock bottom and can't stretch anymore. Big data as a concept has given its best and now is the time, perhaps, of looking for an alternative and fresher definition.
Even though its appearance as a term dates back to the decade of 1970, from 2005 interest in this idea has resurfaced. Between 2008 Y 2012 publications began to multiply, studies, conferences, books and posts on the subject, that have not stopped increasing.
If today we write the search for “big data” in google search, some appear 837 million results, of which:
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Most correspond to computer-related topics.
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They are followed by those who develop engineering topics, mathematics and business administration.
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The list continues with mentions of big data framed in scientific fields (physics, astronomy, molecular biology, genetics or social sciences).
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Y, in conclusion, This term is also covered in contents related to medicine, the arts, the humanities and other disciplines.
Big data: the great product
As long as there is demand, there will be product. Instead of collapsing Big Data Multiplies Your Marketing Potential surrounded by the pressure of information, competition and the pace of markets, that feels as dizzying as the rate of data growth in any organization.
Far from losing its tangible value, How could you say what happens in the the dimension of big data as a concept, By analyzing its impact as a product, it is feasible to affirm that it has never been so alive. The practice of data stewardship is at the center of next-generation business strategies, seeking new possibilities through advanced analysis.
They already have the data, but they are looking for the perfect tool, the ideal response to squeeze big data scraping the desired competitive advantage. Reality in figures, as one of the last studies of TWDI could be summarized as:
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More than 34% of companies analyze big data.
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For him 61% of the surveyed institutions, big data helps them gain precision in the marketing approach directed to social media.
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The 45% says thanks to big data analysis They gain a better understanding of their own business.
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The main obstacle that companies face when implementing a solution of big data analysis It is the lack of qualifications and skills, which represents a barrier in the 46% of the cases.
Big data as a business possibility
According to data from the same TDWI study, for him 70% of big data companies is a possibility. Access to such volumes of data enables them to:
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Discover new data about your customers.
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Get to know better the markets where they operate.
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Have more and more accurate clues about the competition.
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Get precision in your research on costs and operations.
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Expand your perspective when it comes to partners and partners.
Although technical support problems and business strategy problems are the two main obstacles that prevent institutions from being successful with their big data projects, These are signs that there is still a way to go, Y big data as a business possibility doesn't seem on the brink of collapse.
In reality, if the evolution of this way of understanding the business world is analyzed, it is feasible to perceive that the changes tend to trend:
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First was the big data analysis.
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Later came the data discovery as a driver.
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Almost at the same time, the figure of the Data science is the best guarantee that the possibilities will not stop.
Because, the only risk that could endanger the future of big data as a possibility not knowing how to extract its value, the main concern for him 56% of the companies, according to him Wall Street Journal, followed by the difficulty in establishing the big data strategy (41%) and the effort required to obtain the capabilities and skills you need to work with big data (3,4%).
And this is where data scientists come in. These innovation professionals are in charge of exploiting all these new possibilities that until now seemed unknown.. Imagination, science and statistics at the service of evolution, not just business, but of society, since with the changes they promote, a better society and a higher quality of life are being achieved. Examples of them are some of the big data applications for medicine, telecommunications, insurance, finance or retail.
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