Big Data allows the optimization of an e-commerce store, train schedules and even school programs. With the UAE WhatsApp Number List users following MooCs (online courses), it is indeed possible to analyze the interest of the courses and their content.
Big Data, to anticipate needs and demand: Big Data is the source of remarketing, this practice aimed at showing you advertisements based on your browsing experience. Have you looked at the cameras on the Fnac site and find camera banners on all the sites you visit? This is an advantage of Big Data (some would say that it is rather a disadvantage …!)
Target, in the United States, manages with Big Data to predict the imminent delivery of pregnant women. How? ‘Or’ What ? By analyzing their purchasing behavior. Pregnant women buy fragrance-free creams around 3 months of pregnancy and then food supplements. This is also Big Data.
In New York, Big Data makes it possible to predict fires. The University of Michigan has developed a Big Data Analysis to Prevent Crime. Does the machine in Person of Interest speak to you? Here we are !
Big Data, to optimize its logistics and its organization: it allows, for example, to follow its sales in real time and therefore to optimize its inventory management. Amazon even regularly tests intuitive delivery features, aimed at offering delivery to order.
These examples are only a handful of the opportunities that Big Data will offer.
Companies, and not only, will have to show imagination, organization and an enormous sense of analysis to take the full measure of the phenomenon.
This mastery will result in new uses that will revolutionize the way we think about the Internet. But Big Data isn’t all about benefits. It’s also downsides …
Big Data Opportunities
The disadvantages of Big Data: a lot of risks. By analyzing the issues, you can easily understand the risks of Big Data. Not a day goes by without a new digital spy scandal breaking out. Facebook, the NSA… Companies and institutions are regularly accused of exploiting Big Data for controversial ends.
The evolution of Big Data naturally raises the question of data protection and privacy. This is the biggest drawback of Big Data and the biggest challenge we face. Respect for private life is framed, in a relative manner, by the 1995 law on “IT and freedoms”.
It says in particular that personal data must be collected for a very specific, explicit and above all legitimate purpose. It stipulates that the data retention period must not exceed the achievement of this objective.
In addition, the individual, the Internet user, also benefits from the right to be informed of the collection of data concerning him. This data protection legislation has been supplemented by the GDPR. However, Google and GAFAM are regularly criticized for not taking these laws into account.
When the UFC-Que Choisir blames the abusive use of Big Data on the giants Google, Facebook and Twitter
Recently, the UFC-Que Choisir sued Google, Facebook and Twitter because of general conditions of use deemed abusive by the association for the defense of consumers, mainly in terms of personal data. The UFC-Que Choisir would have listed 180 unfair terms.
The Challenges And The Risks
Another disadvantage of big data: the security of data storage. The cloud is undoubtedly one of the major inventions of recent years, the one that made the Big Data phenomenon possible. However, is the security of the data stored there really ensured?
Cloud providers, mostly American, are used to creating “ back doors ” allowing them to access the data they store at any time. They therefore theoretically have access to your photos, your texts but also to public data, stored by institutions and government.
In addition, the Patriot Act resulting from the September 11 attacks grants the US government full access to data stored in the cloud. This is what makes Big Data a significant risk.
These flaws clearly pose the problem of respect for individual freedoms. If you look at Person of Interest, a series focused on a machine collecting all the digital data to be able to predict crimes, you will therefore understand why the hero attaches great importance to keeping this machine secret and inaccessible.
This series is interesting enough to understand the challenges and risks of Big Data. The benefits of Big Data for businesses. After all that, it’s pretty easy to identify big data opportunities for businesses. With the mass of data produced, Big Data makes it possible to:
Improve its customer experience;
Understand the expectations and behaviors of its customers and prospects;
Optimize its Digital Marketing strategy ;
The company now has a lot of data to refine the targeting of its Marketing campaigns, optimize its advertising campaigns and understand the customer’s purchasing journey.
This data enables the company to send the right message to the right person, at the right time and in the right place. However, Big Data is a major issue.