What are the dangers of Big Data analytics?

Big data is the general term used to translate the enormous volume generated on the Internet. The development of the Internet and social networks has encouraged the proliferation of this data. Big data affects all areas of the internet, whether it is marketing, science, customer relations, health or education.

Big Data Analytics

Big data analytics is the process of collecting, inspecting, managing, processing and exploiting massive sets of data from existing and different sources in structured, semi-structured or unstructured formats. With the ever-increasing amount of data on site and in the cloud, organisations need to be able to collect, store, protect, manage and process this information efficiently. The ability to exploit Big Data, by implementing a data analysis system, has become a key strategic issue for any company. To achieve this goal, companies must use technologies, tools, systems and infrastructure distinct to Big Data, incorporating data experts such as analysts and data scientists. For more information, click here.

The purpose of Big Data Analytics

Big Data analytics aims to enable companies to make better strategic decisions based on actionable information. Big Data architects, data scientists and data analysts analyse and model data. This is done in order to convert it into actionable information in the decision-making process and to maximise its potential. This process allows organisations to formulate data governance policies, establish business intelligence systems so that all departments and teams benefit from big data. The results of these analyses improve business performance, marketing and organisation.

The risks of Big Data Analytics

Many companies embark on Big Data analytics projects without fully utilising their data. This gap is usually due to two main factors. If the organisation cannot afford to cooperate with experts, Big Data Analytics can be ineffective. This is often due to the scarcity of profiles and the high cost of hiring these professionals. The second danger associated with Big Data Analytics is distorted data quality. If the company is not equipped with powerful processing tools and platforms to ensure data quality, it is likely to encounter problems such as duplication, unreliable data or poor data structure.

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